RELOCATION ASSISTANCE: Relocation assistance may be available CLEARANCE REQUIRED FOR START: Yes CLEARANCE TYPE: Secret TRAVEL: Yes, 10% of the Time Description At Northrop Grumman, our employees have incredible opportunities to work on revolutionary systems that impact people's lives around the world today, and for generations to come. Our pioneering and inventive spirit has enabled us to be at the forefront of many technological advancements in our nation's history - from the first flight across the Atlantic Ocean, to stealth bombers, to landing on the moon. We look for people who have bold new ideas, courage and a pioneering spirit to join forces to invent the future, and have fun along the way. Our culture thrives on intellectual curiosity, cognitive diversity and bringing your whole self to work - and we have an insatiable drive to do what others think is impossible. Our employees are not only part of history, they're making history. At the heart of Defining Possible is our commitment to missions. In rapidly changing global security environments, Northrop Grumman brings informed insights and software-secure technology to enable strategic planning. We're looking for innovators who can help us keep building on our wide portfolio of secure, affordable, integrated, and multi-domain systems and technologies that fuel those missions. By joining in our shared mission, we'll support yours of expanding your personal network and developing skills, whether you are new to the field, or an industry thought leader. At Northrop Grumman, you'll have the resources, support, and team to do some of the best work of your career. The Advanced EOIR team anticipates a near-term need for a Senior Staff Systems Engineer to work as the Technical Lead/Principal Investigator in performing algorithm concept and development work related to advanced electro-optical and infrared (EO/IR) sensing. As the lead of this team, you will guide the team in sensor modeling, signal/image processing, concept development/refinement, customer/sponsor engagement, and AI/ML algorithm development. The team is focused on researching solutions for emerging sensors and mission areas, and as a result of these successes, we have a need for more staff to support the growing range of programs supported. Come join us for this 100% on-site position from Linthicum, MD! What You'll Get To Do: The AEOIR business area has a rapidly growing set of efforts related to EOIR-based concept development, algorithm development, and signal exploitation. These programs span a range of modalities, but share a common theme of developing new techniques to solve challenging problems. As a technical lead, you will guide a diverse team of physicists, systems engineer, signal processing engineers, and AI/ML engineers in developing novel EOIR sensor capabilities and evaluating the performance of these techniques. You will also perform direct technical work to advance the needs for the group. You will develop concepts for novel EO/IR sensors and develop cutting-edge algorithms to meet emerging mission needs. You will analyze data collected from some of the most advanced sensors ever fielded and generate representative synthetic data using high-fidelity, physics-based models. You will lead interactions with external customers and internal leaders, building trust through communicating the technical achievements and capabilities of the group. You will set the technical vision for the group, defining roadmaps and developing internal R&D plans to create and mature novel technologies. A strong candidate for this role has experience in airborne and/or space-based EOIR sensors, experience developing and implementing algorithms, experience leading teams to successful program execution, and strength in customer engagements. Roles and Responsibilities: Lead technical execution of R&D programs Mentor and develop junior team members Develop, integrate, test, and deploy novel EOIR-centric algorithms Build and maintain physics-based sensor models Develop and quantify performance metrics for system performance Understand data quality and artifact impacts Represent system performance in functional and analytical models This position is contingent upon the successful transfer of an active U.S. Government Secret Clearance and the ability to obtain Special Program Access. Basic Qualifications: Bachelor's Degree with 14 years of experience, a master's degree with 12 years of experience, or a PhD with 10 years of experience in Science, Technology, Engineering, Mathematics or related technical fields; an additional 4 years may be considered in lieu of a degree. U.S Citizenship is required. A current/active U.S. Government Secret Clearance Ability to obtain Special Program Access (SAP) Experience as a team lead with successful customer interactions Experience leading junior and peer team members Experience in technical computing languages, e.g. Python or Matlab Experience with airborne and/or space-based EOIR sensors Experience with Physics-based understanding of detection methods for various phenomenologies Preferred Qualifications: Advanced degree in STEM Experience writing technical proposals Experience acting as principal investigator of team lead for R&D programs Experience developing and executing internal research and development projects Current Top Secret clearance, SAP access(es), and/or SCI access Strong communication skills, both for internal and external audiences Northrop Grumman provides a comprehensive benefits package and a work environment which encourages your growth and supports the mutual success of our people and our company. Northrop Grumman benefits give you the flexibility and control to choose the benefits that make the most sense for you and your family. Your benefits will include the following: Health Plan, Savings Plan, Paid Time Off and Additional Benefits including Education Assistance, Training and Development, 9/80 Work Schedule (where available), and much more! Northrop Grumman has approximately 90,000 employees in all 50 states and in more than 27 countries. We strive to attract and retain the best employees by providing an inclusive work environment wherein employees are receptive to diverse ideas, perspectives, and talents to help solve our toughest customer challenges: to develop and maintain some of the most technically sophisticated products, programs, and services in the world. Our Values. The women and men of Northrop Grumman Corporation are guided by Our Values. They describe our company as we want it to be. We want our decisions and actions to demonstrate these Values. We believe that putting Our Values into practice creates long-term benefits for shareholders, customers, employees, suppliers, and the communities we serve. Our Responsibility. At Northrop Grumman, we are committed to maintaining the highest of ethical standards, embracing diversity and inclusion, protecting the environment, and striving to be an ideal corporate citizen in the community and in the world. Primary Level Salary Range: $184,100.00 - $276,100.00 The above salary range represents a general guideline; however, Northrop Grumman considers a number of factors when determining base salary offers such as the scope and responsibilities of the position and the candidate's experience, education, skills and current market conditions. Depending on the position, employees may be eligible for overtime, shift differential, and a discretionary bonus in addition to base pay. Annual bonuses are designed to reward individual contributions as well as allow employees to share in company results. Employees in Vice President or Director positions may be eligible for Long Term Incentives. In addition, Northrop Grumman provides a variety of benefits including health insurance coverage, life and disability insurance, savings plan, Company paid holidays and paid time off (PTO) for vacation and/or personal business. The application period for the job is estimated to be 20 days from the job posting date. However, this timeline may be shortened or extended depending on business needs and the availability of qualified candidates. Northrop Grumman is an Equal Opportunity Employer, making decisions without regard to race, color, religion, creed, sex, sexual orientation, gender identity, marital status, national origin, age, veteran status, disability, or any other protected class. For our complete EEO and pay transparency statement, please visit U.S. Citizenship is required for all positions with a government clearance and certain other restricted positions.
09/25/2026
Full time
RELOCATION ASSISTANCE: Relocation assistance may be available CLEARANCE REQUIRED FOR START: Yes CLEARANCE TYPE: Secret TRAVEL: Yes, 10% of the Time Description At Northrop Grumman, our employees have incredible opportunities to work on revolutionary systems that impact people's lives around the world today, and for generations to come. Our pioneering and inventive spirit has enabled us to be at the forefront of many technological advancements in our nation's history - from the first flight across the Atlantic Ocean, to stealth bombers, to landing on the moon. We look for people who have bold new ideas, courage and a pioneering spirit to join forces to invent the future, and have fun along the way. Our culture thrives on intellectual curiosity, cognitive diversity and bringing your whole self to work - and we have an insatiable drive to do what others think is impossible. Our employees are not only part of history, they're making history. At the heart of Defining Possible is our commitment to missions. In rapidly changing global security environments, Northrop Grumman brings informed insights and software-secure technology to enable strategic planning. We're looking for innovators who can help us keep building on our wide portfolio of secure, affordable, integrated, and multi-domain systems and technologies that fuel those missions. By joining in our shared mission, we'll support yours of expanding your personal network and developing skills, whether you are new to the field, or an industry thought leader. At Northrop Grumman, you'll have the resources, support, and team to do some of the best work of your career. The Advanced EOIR team anticipates a near-term need for a Senior Staff Systems Engineer to work as the Technical Lead/Principal Investigator in performing algorithm concept and development work related to advanced electro-optical and infrared (EO/IR) sensing. As the lead of this team, you will guide the team in sensor modeling, signal/image processing, concept development/refinement, customer/sponsor engagement, and AI/ML algorithm development. The team is focused on researching solutions for emerging sensors and mission areas, and as a result of these successes, we have a need for more staff to support the growing range of programs supported. Come join us for this 100% on-site position from Linthicum, MD! What You'll Get To Do: The AEOIR business area has a rapidly growing set of efforts related to EOIR-based concept development, algorithm development, and signal exploitation. These programs span a range of modalities, but share a common theme of developing new techniques to solve challenging problems. As a technical lead, you will guide a diverse team of physicists, systems engineer, signal processing engineers, and AI/ML engineers in developing novel EOIR sensor capabilities and evaluating the performance of these techniques. You will also perform direct technical work to advance the needs for the group. You will develop concepts for novel EO/IR sensors and develop cutting-edge algorithms to meet emerging mission needs. You will analyze data collected from some of the most advanced sensors ever fielded and generate representative synthetic data using high-fidelity, physics-based models. You will lead interactions with external customers and internal leaders, building trust through communicating the technical achievements and capabilities of the group. You will set the technical vision for the group, defining roadmaps and developing internal R&D plans to create and mature novel technologies. A strong candidate for this role has experience in airborne and/or space-based EOIR sensors, experience developing and implementing algorithms, experience leading teams to successful program execution, and strength in customer engagements. Roles and Responsibilities: Lead technical execution of R&D programs Mentor and develop junior team members Develop, integrate, test, and deploy novel EOIR-centric algorithms Build and maintain physics-based sensor models Develop and quantify performance metrics for system performance Understand data quality and artifact impacts Represent system performance in functional and analytical models This position is contingent upon the successful transfer of an active U.S. Government Secret Clearance and the ability to obtain Special Program Access. Basic Qualifications: Bachelor's Degree with 14 years of experience, a master's degree with 12 years of experience, or a PhD with 10 years of experience in Science, Technology, Engineering, Mathematics or related technical fields; an additional 4 years may be considered in lieu of a degree. U.S Citizenship is required. A current/active U.S. Government Secret Clearance Ability to obtain Special Program Access (SAP) Experience as a team lead with successful customer interactions Experience leading junior and peer team members Experience in technical computing languages, e.g. Python or Matlab Experience with airborne and/or space-based EOIR sensors Experience with Physics-based understanding of detection methods for various phenomenologies Preferred Qualifications: Advanced degree in STEM Experience writing technical proposals Experience acting as principal investigator of team lead for R&D programs Experience developing and executing internal research and development projects Current Top Secret clearance, SAP access(es), and/or SCI access Strong communication skills, both for internal and external audiences Northrop Grumman provides a comprehensive benefits package and a work environment which encourages your growth and supports the mutual success of our people and our company. Northrop Grumman benefits give you the flexibility and control to choose the benefits that make the most sense for you and your family. Your benefits will include the following: Health Plan, Savings Plan, Paid Time Off and Additional Benefits including Education Assistance, Training and Development, 9/80 Work Schedule (where available), and much more! Northrop Grumman has approximately 90,000 employees in all 50 states and in more than 27 countries. We strive to attract and retain the best employees by providing an inclusive work environment wherein employees are receptive to diverse ideas, perspectives, and talents to help solve our toughest customer challenges: to develop and maintain some of the most technically sophisticated products, programs, and services in the world. Our Values. The women and men of Northrop Grumman Corporation are guided by Our Values. They describe our company as we want it to be. We want our decisions and actions to demonstrate these Values. We believe that putting Our Values into practice creates long-term benefits for shareholders, customers, employees, suppliers, and the communities we serve. Our Responsibility. At Northrop Grumman, we are committed to maintaining the highest of ethical standards, embracing diversity and inclusion, protecting the environment, and striving to be an ideal corporate citizen in the community and in the world. Primary Level Salary Range: $184,100.00 - $276,100.00 The above salary range represents a general guideline; however, Northrop Grumman considers a number of factors when determining base salary offers such as the scope and responsibilities of the position and the candidate's experience, education, skills and current market conditions. Depending on the position, employees may be eligible for overtime, shift differential, and a discretionary bonus in addition to base pay. Annual bonuses are designed to reward individual contributions as well as allow employees to share in company results. Employees in Vice President or Director positions may be eligible for Long Term Incentives. In addition, Northrop Grumman provides a variety of benefits including health insurance coverage, life and disability insurance, savings plan, Company paid holidays and paid time off (PTO) for vacation and/or personal business. The application period for the job is estimated to be 20 days from the job posting date. However, this timeline may be shortened or extended depending on business needs and the availability of qualified candidates. Northrop Grumman is an Equal Opportunity Employer, making decisions without regard to race, color, religion, creed, sex, sexual orientation, gender identity, marital status, national origin, age, veteran status, disability, or any other protected class. For our complete EEO and pay transparency statement, please visit U.S. Citizenship is required for all positions with a government clearance and certain other restricted positions.
RELOCATION ASSISTANCE: No relocation assistance available CLEARANCE REQUIRED FOR START: Yes CLEARANCE TYPE: Secret TRAVEL: Yes, 10% of the Time Description At Northrop Grumman, our employees have incredible opportunities to work on revolutionary systems that impact people's lives around the world today, and for generations to come. Our pioneering and inventive spirit has enabled us to be at the forefront of many technological advancements in our nation's history - from the first flight across the Atlantic Ocean, to stealth bombers, to landing on the moon. We look for people who have bold new ideas, courage and a pioneering spirit to join forces to invent the future, and have fun along the way. Our culture thrives on intellectual curiosity, cognitive diversity and bringing your whole self to work - and we have an insatiable drive to do what others think is impossible. Our employees are not only part of history, they're making history. As one of the largest global security companies in the world, Northrop Grumman is proud to help our nation's military personnel navigate their next chapter into civilian careers. Approximately 20% of Northrop Grumman's 100,000 employees self-identify as veterans, and more than 2,000 are reservists. The Northrop Grumman SkillBridge Program is an approved SkillBridge Program under Dept. of Defense Instruction 1322.29. The program is an opportunity for service members preparing for civilian careers to gain valuable civilian work experience during their last 6 months of service, for up to 180 days. The SkillBridge Program is open to all ranks and experience levels. SkillBridge participants are not eligible for compensation from Northrop Grumman, as they continue to receive military compensation and benefits as active-duty service members. Responsibilities for SkillBridge Program participation are: Northrop Grumman Corporation (NGC) has developed the Northrop Grumman - SkillBridge Program (SkillBridge) utilizing the DoDI guidance for SkillBridge. Through this program, the service-member will work on site with their host company, gaining experience in an entry to mid-level career path. The service member will be on the job training supporting a work schedule equivalent to 40hrs per week. Outlined below are the Goals, Objectives, and Outcomes for the program. Goals - Provide separating service-members with job skills training in a professional setting during the final phase of their military service. This program is specifically designed to offer hands-on experience that result in the potential to convert to a full-time opportunity as the conclusion of the training. Participants will serve as a pipeline for high-speed, motivated military candidates into NGC. Objectives - Service Members who complete the SkillBridge program will be highly trained, capable, future employees that align to the specific needs of the organization and are prepared to meet the NG mission "Defining Possible" on Day 1. This program provides comprehensive hands-on experience including professional development, networking with leadership, and training specifically focused on NG leadership principles, company history, customer/stakeholder engagement, product and service overview, and core job responsibilities. Outcome - Offer service-members preparing for civilian careers a rewarding opportunity to join the Northrop Grumman team. SkillBridge Eligibility: Has served at least 180 days on active duty Is within 12 months of separation or retirement Will receive an honorable discharge Has taken any service TAPS/TGPS Has attended or participated in an ethics brief within the last 12 months Received Unit Commander (first O-4/Field Grade commander in chain of command) written authorization and approval to participate in SkillBridge Program prior to start of internship. Before Applying: IMPORTANT - Complete the SkillBridge prescreening questions online Northrop Grumman Mission System's Engineering and Sciences (E&S) Baltimore and Partnered Sites (BaPs) Division is seeking a Skillbridge Principal Radar Modeling Simulation & Analysis Systems Engineer or Senior Principal Radar Modeling Simulation & Analysis Systems Engineer to join our team of qualified and diverse individuals. This position will be in Baltimore, MD, and is a full time on site role. What You'll get to Do: As an integral part of our Foundational Systems Engineering department located in Linthicum, MD you will focus on accelerating the delivery of capabilities to our customers through the development and use of advanced models and simulations of platforms, sensors, weapons, and their interactions with the environment. Utilize Modeling, Simulation, Experimentation, and Analysis (MSE&A) of advanced systems using C++ object-oriented design, advanced data structures and test-driven development. Develop large scale data analytics, probabilities, and statistics, including the application of design of experiment techniques for the evaluation of system and mission performance. Integrate MS&A with operational flight software, collecting and analyzing data from laboratory or flight tests, the verification and validation of simulation performance against flight test data, and formally verifying that the models meet specified requirements. Produce publication quality reports which define the foundation for simulation credibility across all stakeholders and provide the artifacts to support formal simulation Verification, Validation and Accreditation (VVA). Innovate to solve problems and identify improvements across MSE&A products. Performs operational analysis and mission effectiveness analysis. Develops new and/or integrates existing system simulation frameworks, performance models and algorithms, threat models and command and control models. Models operational environments, performs trade studies via computer simulation and recommends alternative architectures. Simulates real-time operations and develops software that simulates behavior of systems. Develops, integrates, and uses advanced graphical user interfaces and visualization tools. This requisition may be filled as a Principal Radar Modeling, Simulation & Analysis Systems Engineer or a Senior Principal Radar Modeling, Simulation & Analysis Systems Engineer. This position is contingent upon contract award, successful transfer of an active U.S Government Secret Clearance and the ability to obtain Special Program Access (SAP). Basic Qualifications for Skillbridge Principal Radar Modeling, Simulation & Analysis Systems Engineer: Bachelor's Degree with 5 years of experience, Master's degree with 3 years of experience, Ph.D. with 1 years of experience in Electrical Engineering, Computer Engineering, Computer Science or related technical fields; an additional 4 years of experience may be considered in lieu of a degree. U.S. Citizenship is required. A current/active U.S Government Secret clearance. Ability to obtain/maintain Special Access Program (SAP) access. Experience with programming languages such as C/C++, Python, Bash or C shell scripting on the Linux and Windows computing environments. Experience with domain experience in simulations of RF, EOIR, Communications or related systems. Experience working with digital signal processing and complex valued signal data. Experience with analytical modeling approaches using MATLAB environment. Basic Qualifications for Skillbridge Senior Principal Radar Modeling, Simulation & Analysis Systems Engineer: Bachelor's Degree with 8 years of experience, Master's degree with 6 years of experience, Ph.D. with 4 years of experience in Electrical Engineering, Computer Engineering, Computer Science or related technical fields; an additional 4 years of experience may be considered in lieu of a degree. U.S. Citizenship is required. A current/active U.S Government Secret clearance. Ability to obtain/maintain Special Access Program (SAP) access. Experience with programming languages such as C/C++, Python, Bash or C shell scripting on the Linux and Windows computing environments. Experience with domain experience in simulations of RF, EOIR, Communications or related systems. Experience working with digital signal processing and complex valued signal data. Experience with analytical modeling approaches using MATLAB environment. Preferred Qualifications: Active U.S Government Top Secret Clearance or higher. Advanced degrees in Engineering, Computer Science, Applied Physics, Applied Mathematics, or a related technical field. Experience with Modeling, Experimentation, Simulation, and Analysis. Experience with real-time and/or reactive simulation software applications development. Experience with one or more of the following: statistics, design of experiments, descriptive/diagnostic/predictive/prescriptive analytics, high performance computing. Experience developing and validating radar modes. Experience with adaptive signal processing. Experience with optimal estimation theory. Understanding of the Systems Engineering and Integration & Test processes. Experience with DPC, CUDA, OpenCL, Verilog, VHDL, or other domain specific languages. Experience with Agile and/or SAFe methodologies. . click apply for full job details
09/25/2026
Full time
RELOCATION ASSISTANCE: No relocation assistance available CLEARANCE REQUIRED FOR START: Yes CLEARANCE TYPE: Secret TRAVEL: Yes, 10% of the Time Description At Northrop Grumman, our employees have incredible opportunities to work on revolutionary systems that impact people's lives around the world today, and for generations to come. Our pioneering and inventive spirit has enabled us to be at the forefront of many technological advancements in our nation's history - from the first flight across the Atlantic Ocean, to stealth bombers, to landing on the moon. We look for people who have bold new ideas, courage and a pioneering spirit to join forces to invent the future, and have fun along the way. Our culture thrives on intellectual curiosity, cognitive diversity and bringing your whole self to work - and we have an insatiable drive to do what others think is impossible. Our employees are not only part of history, they're making history. As one of the largest global security companies in the world, Northrop Grumman is proud to help our nation's military personnel navigate their next chapter into civilian careers. Approximately 20% of Northrop Grumman's 100,000 employees self-identify as veterans, and more than 2,000 are reservists. The Northrop Grumman SkillBridge Program is an approved SkillBridge Program under Dept. of Defense Instruction 1322.29. The program is an opportunity for service members preparing for civilian careers to gain valuable civilian work experience during their last 6 months of service, for up to 180 days. The SkillBridge Program is open to all ranks and experience levels. SkillBridge participants are not eligible for compensation from Northrop Grumman, as they continue to receive military compensation and benefits as active-duty service members. Responsibilities for SkillBridge Program participation are: Northrop Grumman Corporation (NGC) has developed the Northrop Grumman - SkillBridge Program (SkillBridge) utilizing the DoDI guidance for SkillBridge. Through this program, the service-member will work on site with their host company, gaining experience in an entry to mid-level career path. The service member will be on the job training supporting a work schedule equivalent to 40hrs per week. Outlined below are the Goals, Objectives, and Outcomes for the program. Goals - Provide separating service-members with job skills training in a professional setting during the final phase of their military service. This program is specifically designed to offer hands-on experience that result in the potential to convert to a full-time opportunity as the conclusion of the training. Participants will serve as a pipeline for high-speed, motivated military candidates into NGC. Objectives - Service Members who complete the SkillBridge program will be highly trained, capable, future employees that align to the specific needs of the organization and are prepared to meet the NG mission "Defining Possible" on Day 1. This program provides comprehensive hands-on experience including professional development, networking with leadership, and training specifically focused on NG leadership principles, company history, customer/stakeholder engagement, product and service overview, and core job responsibilities. Outcome - Offer service-members preparing for civilian careers a rewarding opportunity to join the Northrop Grumman team. SkillBridge Eligibility: Has served at least 180 days on active duty Is within 12 months of separation or retirement Will receive an honorable discharge Has taken any service TAPS/TGPS Has attended or participated in an ethics brief within the last 12 months Received Unit Commander (first O-4/Field Grade commander in chain of command) written authorization and approval to participate in SkillBridge Program prior to start of internship. Before Applying: IMPORTANT - Complete the SkillBridge prescreening questions online Northrop Grumman Mission System's Engineering and Sciences (E&S) Baltimore and Partnered Sites (BaPs) Division is seeking a Skillbridge Principal Radar Modeling Simulation & Analysis Systems Engineer or Senior Principal Radar Modeling Simulation & Analysis Systems Engineer to join our team of qualified and diverse individuals. This position will be in Baltimore, MD, and is a full time on site role. What You'll get to Do: As an integral part of our Foundational Systems Engineering department located in Linthicum, MD you will focus on accelerating the delivery of capabilities to our customers through the development and use of advanced models and simulations of platforms, sensors, weapons, and their interactions with the environment. Utilize Modeling, Simulation, Experimentation, and Analysis (MSE&A) of advanced systems using C++ object-oriented design, advanced data structures and test-driven development. Develop large scale data analytics, probabilities, and statistics, including the application of design of experiment techniques for the evaluation of system and mission performance. Integrate MS&A with operational flight software, collecting and analyzing data from laboratory or flight tests, the verification and validation of simulation performance against flight test data, and formally verifying that the models meet specified requirements. Produce publication quality reports which define the foundation for simulation credibility across all stakeholders and provide the artifacts to support formal simulation Verification, Validation and Accreditation (VVA). Innovate to solve problems and identify improvements across MSE&A products. Performs operational analysis and mission effectiveness analysis. Develops new and/or integrates existing system simulation frameworks, performance models and algorithms, threat models and command and control models. Models operational environments, performs trade studies via computer simulation and recommends alternative architectures. Simulates real-time operations and develops software that simulates behavior of systems. Develops, integrates, and uses advanced graphical user interfaces and visualization tools. This requisition may be filled as a Principal Radar Modeling, Simulation & Analysis Systems Engineer or a Senior Principal Radar Modeling, Simulation & Analysis Systems Engineer. This position is contingent upon contract award, successful transfer of an active U.S Government Secret Clearance and the ability to obtain Special Program Access (SAP). Basic Qualifications for Skillbridge Principal Radar Modeling, Simulation & Analysis Systems Engineer: Bachelor's Degree with 5 years of experience, Master's degree with 3 years of experience, Ph.D. with 1 years of experience in Electrical Engineering, Computer Engineering, Computer Science or related technical fields; an additional 4 years of experience may be considered in lieu of a degree. U.S. Citizenship is required. A current/active U.S Government Secret clearance. Ability to obtain/maintain Special Access Program (SAP) access. Experience with programming languages such as C/C++, Python, Bash or C shell scripting on the Linux and Windows computing environments. Experience with domain experience in simulations of RF, EOIR, Communications or related systems. Experience working with digital signal processing and complex valued signal data. Experience with analytical modeling approaches using MATLAB environment. Basic Qualifications for Skillbridge Senior Principal Radar Modeling, Simulation & Analysis Systems Engineer: Bachelor's Degree with 8 years of experience, Master's degree with 6 years of experience, Ph.D. with 4 years of experience in Electrical Engineering, Computer Engineering, Computer Science or related technical fields; an additional 4 years of experience may be considered in lieu of a degree. U.S. Citizenship is required. A current/active U.S Government Secret clearance. Ability to obtain/maintain Special Access Program (SAP) access. Experience with programming languages such as C/C++, Python, Bash or C shell scripting on the Linux and Windows computing environments. Experience with domain experience in simulations of RF, EOIR, Communications or related systems. Experience working with digital signal processing and complex valued signal data. Experience with analytical modeling approaches using MATLAB environment. Preferred Qualifications: Active U.S Government Top Secret Clearance or higher. Advanced degrees in Engineering, Computer Science, Applied Physics, Applied Mathematics, or a related technical field. Experience with Modeling, Experimentation, Simulation, and Analysis. Experience with real-time and/or reactive simulation software applications development. Experience with one or more of the following: statistics, design of experiments, descriptive/diagnostic/predictive/prescriptive analytics, high performance computing. Experience developing and validating radar modes. Experience with adaptive signal processing. Experience with optimal estimation theory. Understanding of the Systems Engineering and Integration & Test processes. Experience with DPC, CUDA, OpenCL, Verilog, VHDL, or other domain specific languages. Experience with Agile and/or SAFe methodologies. . click apply for full job details
RELOCATION ASSISTANCE: Relocation assistance may be available CLEARANCE REQUIRED FOR START: Yes CLEARANCE TYPE: Secret TRAVEL: Yes, 10% of the Time Description At Northrop Grumman, our employees have incredible opportunities to work on revolutionary systems that impact people's lives around the world today, and for generations to come. Our pioneering and inventive spirit has enabled us to be at the forefront of many technological advancements in our nation's history - from the first flight across the Atlantic Ocean, to stealth bombers, to landing on the moon. We look for people who have bold new ideas, courage and a pioneering spirit to join forces to invent the future, and have fun along the way. Our culture thrives on intellectual curiosity, cognitive diversity and bringing your whole self to work - and we have an insatiable drive to do what others think is impossible. Our employees are not only part of history, they're making history. At the heart of Defining Possible is our commitment to missions. In rapidly changing global security environments, Northrop Grumman brings informed insights and software-secure technology to enable strategic planning. We're looking for innovators who can help us keep building on our wide portfolio of secure, affordable, integrated, and multi-domain systems and technologies that fuel those missions. By joining in our shared mission, we'll support yours of expanding your personal network and developing skills, whether you are new to the field, or an industry thought leader. At Northrop Grumman, you'll have the resources, support, and team to do some of the best work of your career. The Advanced EOIR team anticipates a near-term need for a Senior Staff Systems Engineer to work as the Technical Lead/Principal Investigator in performing algorithm concept and development work related to advanced electro-optical and infrared (EO/IR) sensing. As the lead of this team, you will guide the team in sensor modeling, signal/image processing, concept development/refinement, customer/sponsor engagement, and AI/ML algorithm development. The team is focused on researching solutions for emerging sensors and mission areas, and as a result of these successes, we have a need for more staff to support the growing range of programs supported. Come join us for this 100% on-site position from Linthicum, MD! What You'll Get To Do: The AEOIR business area has a rapidly growing set of efforts related to EOIR-based concept development, algorithm development, and signal exploitation. These programs span a range of modalities, but share a common theme of developing new techniques to solve challenging problems. As a technical lead, you will guide a diverse team of physicists, systems engineer, signal processing engineers, and AI/ML engineers in developing novel EOIR sensor capabilities and evaluating the performance of these techniques. You will also perform direct technical work to advance the needs for the group. You will develop concepts for novel EO/IR sensors and develop cutting-edge algorithms to meet emerging mission needs. You will analyze data collected from some of the most advanced sensors ever fielded and generate representative synthetic data using high-fidelity, physics-based models. You will lead interactions with external customers and internal leaders, building trust through communicating the technical achievements and capabilities of the group. You will set the technical vision for the group, defining roadmaps and developing internal R&D plans to create and mature novel technologies. A strong candidate for this role has experience in airborne and/or space-based EOIR sensors, experience developing and implementing algorithms, experience leading teams to successful program execution, and strength in customer engagements. Roles and Responsibilities: Lead technical execution of R&D programs Mentor and develop junior team members Develop, integrate, test, and deploy novel EOIR-centric algorithms Build and maintain physics-based sensor models Develop and quantify performance metrics for system performance Understand data quality and artifact impacts Represent system performance in functional and analytical models This position is contingent upon the successful transfer of an active U.S. Government Secret Clearance and the ability to obtain Special Program Access. Basic Qualifications: Bachelor's Degree with 14 years of experience, a master's degree with 12 years of experience, or a PhD with 10 years of experience in Science, Technology, Engineering, Mathematics or related technical fields; an additional 4 years may be considered in lieu of a degree. U.S Citizenship is required. A current/active U.S. Government Secret Clearance Ability to obtain Special Program Access (SAP) Experience as a team lead with successful customer interactions Experience leading junior and peer team members Experience in technical computing languages, e.g. Python or Matlab Experience with airborne and/or space-based EOIR sensors Experience with Physics-based understanding of detection methods for various phenomenologies Preferred Qualifications: Advanced degree in STEM Experience writing technical proposals Experience acting as principal investigator of team lead for R&D programs Experience developing and executing internal research and development projects Current Top Secret clearance, SAP access(es), and/or SCI access Strong communication skills, both for internal and external audiences Northrop Grumman provides a comprehensive benefits package and a work environment which encourages your growth and supports the mutual success of our people and our company. Northrop Grumman benefits give you the flexibility and control to choose the benefits that make the most sense for you and your family. Your benefits will include the following: Health Plan, Savings Plan, Paid Time Off and Additional Benefits including Education Assistance, Training and Development, 9/80 Work Schedule (where available), and much more! Northrop Grumman has approximately 90,000 employees in all 50 states and in more than 27 countries. We strive to attract and retain the best employees by providing an inclusive work environment wherein employees are receptive to diverse ideas, perspectives, and talents to help solve our toughest customer challenges: to develop and maintain some of the most technically sophisticated products, programs, and services in the world. Our Values. The women and men of Northrop Grumman Corporation are guided by Our Values. They describe our company as we want it to be. We want our decisions and actions to demonstrate these Values. We believe that putting Our Values into practice creates long-term benefits for shareholders, customers, employees, suppliers, and the communities we serve. Our Responsibility. At Northrop Grumman, we are committed to maintaining the highest of ethical standards, embracing diversity and inclusion, protecting the environment, and striving to be an ideal corporate citizen in the community and in the world. Primary Level Salary Range: $184,100.00 - $276,100.00 The above salary range represents a general guideline; however, Northrop Grumman considers a number of factors when determining base salary offers such as the scope and responsibilities of the position and the candidate's experience, education, skills and current market conditions. Depending on the position, employees may be eligible for overtime, shift differential, and a discretionary bonus in addition to base pay. Annual bonuses are designed to reward individual contributions as well as allow employees to share in company results. Employees in Vice President or Director positions may be eligible for Long Term Incentives. In addition, Northrop Grumman provides a variety of benefits including health insurance coverage, life and disability insurance, savings plan, Company paid holidays and paid time off (PTO) for vacation and/or personal business. The application period for the job is estimated to be 20 days from the job posting date. However, this timeline may be shortened or extended depending on business needs and the availability of qualified candidates. Northrop Grumman is an Equal Opportunity Employer, making decisions without regard to race, color, religion, creed, sex, sexual orientation, gender identity, marital status, national origin, age, veteran status, disability, or any other protected class. For our complete EEO and pay transparency statement, please visit U.S. Citizenship is required for all positions with a government clearance and certain other restricted positions.
09/25/2026
Full time
RELOCATION ASSISTANCE: Relocation assistance may be available CLEARANCE REQUIRED FOR START: Yes CLEARANCE TYPE: Secret TRAVEL: Yes, 10% of the Time Description At Northrop Grumman, our employees have incredible opportunities to work on revolutionary systems that impact people's lives around the world today, and for generations to come. Our pioneering and inventive spirit has enabled us to be at the forefront of many technological advancements in our nation's history - from the first flight across the Atlantic Ocean, to stealth bombers, to landing on the moon. We look for people who have bold new ideas, courage and a pioneering spirit to join forces to invent the future, and have fun along the way. Our culture thrives on intellectual curiosity, cognitive diversity and bringing your whole self to work - and we have an insatiable drive to do what others think is impossible. Our employees are not only part of history, they're making history. At the heart of Defining Possible is our commitment to missions. In rapidly changing global security environments, Northrop Grumman brings informed insights and software-secure technology to enable strategic planning. We're looking for innovators who can help us keep building on our wide portfolio of secure, affordable, integrated, and multi-domain systems and technologies that fuel those missions. By joining in our shared mission, we'll support yours of expanding your personal network and developing skills, whether you are new to the field, or an industry thought leader. At Northrop Grumman, you'll have the resources, support, and team to do some of the best work of your career. The Advanced EOIR team anticipates a near-term need for a Senior Staff Systems Engineer to work as the Technical Lead/Principal Investigator in performing algorithm concept and development work related to advanced electro-optical and infrared (EO/IR) sensing. As the lead of this team, you will guide the team in sensor modeling, signal/image processing, concept development/refinement, customer/sponsor engagement, and AI/ML algorithm development. The team is focused on researching solutions for emerging sensors and mission areas, and as a result of these successes, we have a need for more staff to support the growing range of programs supported. Come join us for this 100% on-site position from Linthicum, MD! What You'll Get To Do: The AEOIR business area has a rapidly growing set of efforts related to EOIR-based concept development, algorithm development, and signal exploitation. These programs span a range of modalities, but share a common theme of developing new techniques to solve challenging problems. As a technical lead, you will guide a diverse team of physicists, systems engineer, signal processing engineers, and AI/ML engineers in developing novel EOIR sensor capabilities and evaluating the performance of these techniques. You will also perform direct technical work to advance the needs for the group. You will develop concepts for novel EO/IR sensors and develop cutting-edge algorithms to meet emerging mission needs. You will analyze data collected from some of the most advanced sensors ever fielded and generate representative synthetic data using high-fidelity, physics-based models. You will lead interactions with external customers and internal leaders, building trust through communicating the technical achievements and capabilities of the group. You will set the technical vision for the group, defining roadmaps and developing internal R&D plans to create and mature novel technologies. A strong candidate for this role has experience in airborne and/or space-based EOIR sensors, experience developing and implementing algorithms, experience leading teams to successful program execution, and strength in customer engagements. Roles and Responsibilities: Lead technical execution of R&D programs Mentor and develop junior team members Develop, integrate, test, and deploy novel EOIR-centric algorithms Build and maintain physics-based sensor models Develop and quantify performance metrics for system performance Understand data quality and artifact impacts Represent system performance in functional and analytical models This position is contingent upon the successful transfer of an active U.S. Government Secret Clearance and the ability to obtain Special Program Access. Basic Qualifications: Bachelor's Degree with 14 years of experience, a master's degree with 12 years of experience, or a PhD with 10 years of experience in Science, Technology, Engineering, Mathematics or related technical fields; an additional 4 years may be considered in lieu of a degree. U.S Citizenship is required. A current/active U.S. Government Secret Clearance Ability to obtain Special Program Access (SAP) Experience as a team lead with successful customer interactions Experience leading junior and peer team members Experience in technical computing languages, e.g. Python or Matlab Experience with airborne and/or space-based EOIR sensors Experience with Physics-based understanding of detection methods for various phenomenologies Preferred Qualifications: Advanced degree in STEM Experience writing technical proposals Experience acting as principal investigator of team lead for R&D programs Experience developing and executing internal research and development projects Current Top Secret clearance, SAP access(es), and/or SCI access Strong communication skills, both for internal and external audiences Northrop Grumman provides a comprehensive benefits package and a work environment which encourages your growth and supports the mutual success of our people and our company. Northrop Grumman benefits give you the flexibility and control to choose the benefits that make the most sense for you and your family. Your benefits will include the following: Health Plan, Savings Plan, Paid Time Off and Additional Benefits including Education Assistance, Training and Development, 9/80 Work Schedule (where available), and much more! Northrop Grumman has approximately 90,000 employees in all 50 states and in more than 27 countries. We strive to attract and retain the best employees by providing an inclusive work environment wherein employees are receptive to diverse ideas, perspectives, and talents to help solve our toughest customer challenges: to develop and maintain some of the most technically sophisticated products, programs, and services in the world. Our Values. The women and men of Northrop Grumman Corporation are guided by Our Values. They describe our company as we want it to be. We want our decisions and actions to demonstrate these Values. We believe that putting Our Values into practice creates long-term benefits for shareholders, customers, employees, suppliers, and the communities we serve. Our Responsibility. At Northrop Grumman, we are committed to maintaining the highest of ethical standards, embracing diversity and inclusion, protecting the environment, and striving to be an ideal corporate citizen in the community and in the world. Primary Level Salary Range: $184,100.00 - $276,100.00 The above salary range represents a general guideline; however, Northrop Grumman considers a number of factors when determining base salary offers such as the scope and responsibilities of the position and the candidate's experience, education, skills and current market conditions. Depending on the position, employees may be eligible for overtime, shift differential, and a discretionary bonus in addition to base pay. Annual bonuses are designed to reward individual contributions as well as allow employees to share in company results. Employees in Vice President or Director positions may be eligible for Long Term Incentives. In addition, Northrop Grumman provides a variety of benefits including health insurance coverage, life and disability insurance, savings plan, Company paid holidays and paid time off (PTO) for vacation and/or personal business. The application period for the job is estimated to be 20 days from the job posting date. However, this timeline may be shortened or extended depending on business needs and the availability of qualified candidates. Northrop Grumman is an Equal Opportunity Employer, making decisions without regard to race, color, religion, creed, sex, sexual orientation, gender identity, marital status, national origin, age, veteran status, disability, or any other protected class. For our complete EEO and pay transparency statement, please visit U.S. Citizenship is required for all positions with a government clearance and certain other restricted positions.
AI Engineer 4 (Gen AI Platform Services) At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. What You'll Do: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, agents and multi-agent workflows, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more. Invent and introduce state-of-the-art foundation model optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. Own the end-to-end architecture for complex AI systems - ensuring maintainability, observability, and ethical alignment Define and maintain service-level objectives (SLOs) for AI reliability, including latency, uptime, and model performance drift Collaborate with infrastructure engineering to optimize GPU/TPU utilization and accelerate model inference pipelines Lead cross-functional technical reviews for new AI system deployments, ensuring security, data governance, and compliance standards are met Mentor Principal and Senior Associates on scalable design, performance tuning and research-to-production translation The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enables you to see and exploit optimization opportunities that others miss You are a resilient trailblazer who can forge new paths to achieve business goals when the route is unknown Basic Qualifications: Bachelor's Degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 2 years of experience developing AI and ML algorithms or technologies At least 4 years of experience programming with Python, Go, Scala, CUDA, or Java Preferred Qualifications: Experience leading development AI systems with tradeoff decisions around cost, latency, throughput and accuracy 6 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience designing, developing, delivering, and supporting AI services Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Experience in building agentic AI systems and agentic workflows Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Proficiency in designing distributed systems for model training, evaluation, and online inference at petabyte scale Experience defining AI model governance processes, including producibility, lineage tracking, and automated retaining schedules Demonstrated ability to influence architectural decisions across multiple AI product lines or platforms Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $197,300 - $225,100 for AI Engineer 4 McLean, VA: $197,300 - $225,100 for AI Engineer 4 New York, NY: $215,200 - $245,600 for AI Engineer 4 San Jose, CA: $215,200 - $245,600 for AI Engineer 4 Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
09/25/2026
Full time
AI Engineer 4 (Gen AI Platform Services) At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. What You'll Do: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, agents and multi-agent workflows, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more. Invent and introduce state-of-the-art foundation model optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. Own the end-to-end architecture for complex AI systems - ensuring maintainability, observability, and ethical alignment Define and maintain service-level objectives (SLOs) for AI reliability, including latency, uptime, and model performance drift Collaborate with infrastructure engineering to optimize GPU/TPU utilization and accelerate model inference pipelines Lead cross-functional technical reviews for new AI system deployments, ensuring security, data governance, and compliance standards are met Mentor Principal and Senior Associates on scalable design, performance tuning and research-to-production translation The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enables you to see and exploit optimization opportunities that others miss You are a resilient trailblazer who can forge new paths to achieve business goals when the route is unknown Basic Qualifications: Bachelor's Degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 2 years of experience developing AI and ML algorithms or technologies At least 4 years of experience programming with Python, Go, Scala, CUDA, or Java Preferred Qualifications: Experience leading development AI systems with tradeoff decisions around cost, latency, throughput and accuracy 6 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience designing, developing, delivering, and supporting AI services Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Experience in building agentic AI systems and agentic workflows Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Proficiency in designing distributed systems for model training, evaluation, and online inference at petabyte scale Experience defining AI model governance processes, including producibility, lineage tracking, and automated retaining schedules Demonstrated ability to influence architectural decisions across multiple AI product lines or platforms Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $197,300 - $225,100 for AI Engineer 4 McLean, VA: $197,300 - $225,100 for AI Engineer 4 New York, NY: $215,200 - $245,600 for AI Engineer 4 San Jose, CA: $215,200 - $245,600 for AI Engineer 4 Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
Job Description Job Title: Principal Controls Specialist - Modeling and Simulation Working Pattern: Full-time Working location: Indianapolis, IN or West Lafayette, IN (Hybrid schedule/ 3 days onsite) As a Principal Controls Specialist - Modeling and Simulation, you will be part of a multidiscipline team responsible for the development, testing and continuous integration of the hardware and software test environment used in the development and qualification of electronic engine control software and hardware-in-the-loop investigations. You will ensure that all delivered test and simulation products meet program requirements. You will coordinate with engine control project teams, external customers, and hardware and software vendors supporting simulation test assets. You will be responsible for the hardware/software builds, tool, and process used for executing on the simulation environment. You will be involved at all stages of a project lifecycle from concept development, integrated/component testing through final production release and maintenance. Why Rolls-Royce? Rolls-Royce is one of the most enduring and iconic brands in the world and has been at the forefront of innovation for over a century. We design, build and service systems that provide critical power to customers where safety and reliability are paramount. We are proud to be a force for progress, powering, protecting and connecting people everywhere. We want to ensure that the excellence and ingenuity that has shaped our history continues into our future and we need people like you to come and join us on this journey. Rolls-Royce has been recognized as the top employer in the Engineering & Manufacturing category on the prestigious Forbes Top Employers for Engineers list for 2025. This ranking highlights our commitment to innovation, employee development, and fostering a collaborative environment where engineers can thrive. Be part of a team that sets the industry standard and drives groundbreaking solutions. At Rolls-Royce, we are committed to creating a workplace where all employees feel respected, supported, and empowered to do their best work. We foster a welcoming and innovative work environment that invests in you, giving you access to an incredible breadth and depth of opportunities where you can grow your career and make a difference. Rolls-Royce is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to any protected characteristics. What you will be doing With this attractive opportunity you will get a chance to: Planning, designing and developing software solutions of real-time simulation test platforms Integration, testing and troubleshooting of software/hardware and software/software designs Technical management and improvement of the automated build and execution tool and process used for executing batched test programs running on the simulation environment Mentor engineers to improve technical capability and project performance. Enable technical excellence of engineering deliverables for projects. Technical management and project leadership of a team of simulation engineers coordinating technical tasks, commitments, deliveries and communications with an engineering program. Presentation of technical data to senior engineers, management, and customers Who we're looking for: At Rolls-Royce we put safety first, do the right thing, keep it simple and make a difference. These principles form the behaviours that guide us and are an essential component of our assessment process. They are the fundamental qualities that we seek for all roles. Basic Requirements: Bachelor's degree with 5+ years of software simulation experience -OR- Master's degree with 3+ years of experience in software simulation engineering (development or testing) -OR- JD/PhD Must be a US Citizen. Ability to obtain/maintain US DOD Secret Clearance. Preferred Requirements: Modelling, Simulation, and Control System experience Strong understanding of software configuration management and software architecture Knowledge of electronics (sensors, actuators, and processors) Strong software development skills in C/C++, Python, CMake, Bash, Simulink, Continuous Integration/Automation (e.g. Jenkins), UNIX shell Hardware (electronics/circuits) troubleshooting experience Experience with MIL-STD-3022. Knowledge in software design patterns and software testing framework Familiarity with Embedded Systems Architecture and Design Understanding of UNIX, Windows OS, and build environments Certified Modeling & Simulation Professional certification. What we offer We offer excellent development opportunities, a competitive salary, and exceptional benefits. These include bonus, employee support assistance and employee discounts. Your needs are as unique as you are. Hybrid working is a way in which our people can balance their time between the office, home, or another remote location. It's a locally managed and flexed informal discretionary arrangement. As a minimum we're all expected to attend the workplace for collaboration and other specific reasons, on average three days per week. For fully remote roles, employees can live in any state except Idaho, Nebraska, Nevada, Vermont, and Wyoming. Relocation assistance is available for this position. Global Grade Level C Closing date: 9/30/2026 If you have questions regarding this requisition, please contact Craig Beronja. Job Category Electrical and Electronics Job Posting Date 11 Sep 2026; 00:09 Pay Range Pay ranges for remote employees are based on the state where the employee resides and may vary from the posted range. $114,400 - $185,900-Annually Location: Indianapolis, IN Benefits Rolls-Royce provides a comprehensive and competitive Total Rewards package that includes base pay and a discretionary bonus plan. Eligible employees may have the opportunity to enroll in other benefits, including health, dental, vision, disability, life and accidental death & dismemberment insurance; a flexible spending account; a health savings account; a 401(k) retirement savings plan with a company match; Employee Assistance Program; Paid Time Off; certain paid holidays; paid parental and family care leave; tuition reimbursement; and a long-term incentive plan. The options available to an employee may vary depending on eligibility factors such as date of hire, employment type, and the applicability of collective bargaining agreements. PandoLogic. Category:Technology,
09/25/2026
Full time
Job Description Job Title: Principal Controls Specialist - Modeling and Simulation Working Pattern: Full-time Working location: Indianapolis, IN or West Lafayette, IN (Hybrid schedule/ 3 days onsite) As a Principal Controls Specialist - Modeling and Simulation, you will be part of a multidiscipline team responsible for the development, testing and continuous integration of the hardware and software test environment used in the development and qualification of electronic engine control software and hardware-in-the-loop investigations. You will ensure that all delivered test and simulation products meet program requirements. You will coordinate with engine control project teams, external customers, and hardware and software vendors supporting simulation test assets. You will be responsible for the hardware/software builds, tool, and process used for executing on the simulation environment. You will be involved at all stages of a project lifecycle from concept development, integrated/component testing through final production release and maintenance. Why Rolls-Royce? Rolls-Royce is one of the most enduring and iconic brands in the world and has been at the forefront of innovation for over a century. We design, build and service systems that provide critical power to customers where safety and reliability are paramount. We are proud to be a force for progress, powering, protecting and connecting people everywhere. We want to ensure that the excellence and ingenuity that has shaped our history continues into our future and we need people like you to come and join us on this journey. Rolls-Royce has been recognized as the top employer in the Engineering & Manufacturing category on the prestigious Forbes Top Employers for Engineers list for 2025. This ranking highlights our commitment to innovation, employee development, and fostering a collaborative environment where engineers can thrive. Be part of a team that sets the industry standard and drives groundbreaking solutions. At Rolls-Royce, we are committed to creating a workplace where all employees feel respected, supported, and empowered to do their best work. We foster a welcoming and innovative work environment that invests in you, giving you access to an incredible breadth and depth of opportunities where you can grow your career and make a difference. Rolls-Royce is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to any protected characteristics. What you will be doing With this attractive opportunity you will get a chance to: Planning, designing and developing software solutions of real-time simulation test platforms Integration, testing and troubleshooting of software/hardware and software/software designs Technical management and improvement of the automated build and execution tool and process used for executing batched test programs running on the simulation environment Mentor engineers to improve technical capability and project performance. Enable technical excellence of engineering deliverables for projects. Technical management and project leadership of a team of simulation engineers coordinating technical tasks, commitments, deliveries and communications with an engineering program. Presentation of technical data to senior engineers, management, and customers Who we're looking for: At Rolls-Royce we put safety first, do the right thing, keep it simple and make a difference. These principles form the behaviours that guide us and are an essential component of our assessment process. They are the fundamental qualities that we seek for all roles. Basic Requirements: Bachelor's degree with 5+ years of software simulation experience -OR- Master's degree with 3+ years of experience in software simulation engineering (development or testing) -OR- JD/PhD Must be a US Citizen. Ability to obtain/maintain US DOD Secret Clearance. Preferred Requirements: Modelling, Simulation, and Control System experience Strong understanding of software configuration management and software architecture Knowledge of electronics (sensors, actuators, and processors) Strong software development skills in C/C++, Python, CMake, Bash, Simulink, Continuous Integration/Automation (e.g. Jenkins), UNIX shell Hardware (electronics/circuits) troubleshooting experience Experience with MIL-STD-3022. Knowledge in software design patterns and software testing framework Familiarity with Embedded Systems Architecture and Design Understanding of UNIX, Windows OS, and build environments Certified Modeling & Simulation Professional certification. What we offer We offer excellent development opportunities, a competitive salary, and exceptional benefits. These include bonus, employee support assistance and employee discounts. Your needs are as unique as you are. Hybrid working is a way in which our people can balance their time between the office, home, or another remote location. It's a locally managed and flexed informal discretionary arrangement. As a minimum we're all expected to attend the workplace for collaboration and other specific reasons, on average three days per week. For fully remote roles, employees can live in any state except Idaho, Nebraska, Nevada, Vermont, and Wyoming. Relocation assistance is available for this position. Global Grade Level C Closing date: 9/30/2026 If you have questions regarding this requisition, please contact Craig Beronja. Job Category Electrical and Electronics Job Posting Date 11 Sep 2026; 00:09 Pay Range Pay ranges for remote employees are based on the state where the employee resides and may vary from the posted range. $114,400 - $185,900-Annually Location: Indianapolis, IN Benefits Rolls-Royce provides a comprehensive and competitive Total Rewards package that includes base pay and a discretionary bonus plan. Eligible employees may have the opportunity to enroll in other benefits, including health, dental, vision, disability, life and accidental death & dismemberment insurance; a flexible spending account; a health savings account; a 401(k) retirement savings plan with a company match; Employee Assistance Program; Paid Time Off; certain paid holidays; paid parental and family care leave; tuition reimbursement; and a long-term incentive plan. The options available to an employee may vary depending on eligibility factors such as date of hire, employment type, and the applicability of collective bargaining agreements. PandoLogic. Category:Technology,
AI Engineer 4 (Gen AI Platform Services) At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. What You'll Do: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, agents and multi-agent workflows, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more. Invent and introduce state-of-the-art foundation model optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. Own the end-to-end architecture for complex AI systems - ensuring maintainability, observability, and ethical alignment Define and maintain service-level objectives (SLOs) for AI reliability, including latency, uptime, and model performance drift Collaborate with infrastructure engineering to optimize GPU/TPU utilization and accelerate model inference pipelines Lead cross-functional technical reviews for new AI system deployments, ensuring security, data governance, and compliance standards are met Mentor Principal and Senior Associates on scalable design, performance tuning and research-to-production translation The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enables you to see and exploit optimization opportunities that others miss You are a resilient trailblazer who can forge new paths to achieve business goals when the route is unknown Basic Qualifications: Bachelor's Degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 2 years of experience developing AI and ML algorithms or technologies At least 4 years of experience programming with Python, Go, Scala, CUDA, or Java Preferred Qualifications: Experience leading development AI systems with tradeoff decisions around cost, latency, throughput and accuracy 6 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience designing, developing, delivering, and supporting AI services Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Experience in building agentic AI systems and agentic workflows Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Proficiency in designing distributed systems for model training, evaluation, and online inference at petabyte scale Experience defining AI model governance processes, including producibility, lineage tracking, and automated retaining schedules Demonstrated ability to influence architectural decisions across multiple AI product lines or platforms Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $197,300 - $225,100 for AI Engineer 4 McLean, VA: $197,300 - $225,100 for AI Engineer 4 New York, NY: $215,200 - $245,600 for AI Engineer 4 San Jose, CA: $215,200 - $245,600 for AI Engineer 4 Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
09/25/2026
Full time
AI Engineer 4 (Gen AI Platform Services) At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. What You'll Do: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, agents and multi-agent workflows, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more. Invent and introduce state-of-the-art foundation model optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. Own the end-to-end architecture for complex AI systems - ensuring maintainability, observability, and ethical alignment Define and maintain service-level objectives (SLOs) for AI reliability, including latency, uptime, and model performance drift Collaborate with infrastructure engineering to optimize GPU/TPU utilization and accelerate model inference pipelines Lead cross-functional technical reviews for new AI system deployments, ensuring security, data governance, and compliance standards are met Mentor Principal and Senior Associates on scalable design, performance tuning and research-to-production translation The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enables you to see and exploit optimization opportunities that others miss You are a resilient trailblazer who can forge new paths to achieve business goals when the route is unknown Basic Qualifications: Bachelor's Degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 2 years of experience developing AI and ML algorithms or technologies At least 4 years of experience programming with Python, Go, Scala, CUDA, or Java Preferred Qualifications: Experience leading development AI systems with tradeoff decisions around cost, latency, throughput and accuracy 6 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience designing, developing, delivering, and supporting AI services Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Experience in building agentic AI systems and agentic workflows Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Proficiency in designing distributed systems for model training, evaluation, and online inference at petabyte scale Experience defining AI model governance processes, including producibility, lineage tracking, and automated retaining schedules Demonstrated ability to influence architectural decisions across multiple AI product lines or platforms Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $197,300 - $225,100 for AI Engineer 4 McLean, VA: $197,300 - $225,100 for AI Engineer 4 New York, NY: $215,200 - $245,600 for AI Engineer 4 San Jose, CA: $215,200 - $245,600 for AI Engineer 4 Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
AI Engineer 4 (Vision model (VLM) customization experience) At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. What You'll Do: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, agents and multi-agent workflows, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more. Invent and introduce state-of-the-art foundation model optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. Own the end-to-end architecture for complex AI systems - ensuring maintainability, observability, and ethical alignment Define and maintain service-level objectives (SLOs) for AI reliability, including latency, uptime, and model performance drift Collaborate with infrastructure engineering to optimize GPU/TPU utilization and accelerate model inference pipelines Lead cross-functional technical reviews for new AI system deployments, ensuring security, data governance, and compliance standards are met Mentor Principal and Senior Associates on scalable design, performance tuning and research-to-production translation The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enables you to see and exploit optimization opportunities that others miss You are a resilient trailblazer who can forge new paths to achieve business goals when the route is unknown Basic Qualifications: Bachelor's Degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 2 years of experience developing AI and ML algorithms or technologies At least 4 years of experience programming with Python, Go, Scala, CUDA, or Java Preferred Qualifications: Experience leading development AI systems with tradeoff decisions around cost, latency, throughput and accuracy 6 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience designing, developing, delivering, and supporting AI services Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Experience in building agentic AI systems and agentic workflows Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Proficiency in designing distributed systems for model training, evaluation, and online inference at petabyte scale Experience defining AI model governance processes, including producibility, lineage tracking, and automated retaining schedules Demonstrated ability to influence architectural decisions across multiple AI product lines or platforms Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $197,300 - $225,100 for AI Engineer 4 McLean, VA: $197,300 - $225,100 for AI Engineer 4 New York, NY: $215,200 - $245,600 for AI Engineer 4 San Jose, CA: $215,200 - $245,600 for AI Engineer 4 Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
09/25/2026
Full time
AI Engineer 4 (Vision model (VLM) customization experience) At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. What You'll Do: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, agents and multi-agent workflows, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more. Invent and introduce state-of-the-art foundation model optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. Own the end-to-end architecture for complex AI systems - ensuring maintainability, observability, and ethical alignment Define and maintain service-level objectives (SLOs) for AI reliability, including latency, uptime, and model performance drift Collaborate with infrastructure engineering to optimize GPU/TPU utilization and accelerate model inference pipelines Lead cross-functional technical reviews for new AI system deployments, ensuring security, data governance, and compliance standards are met Mentor Principal and Senior Associates on scalable design, performance tuning and research-to-production translation The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enables you to see and exploit optimization opportunities that others miss You are a resilient trailblazer who can forge new paths to achieve business goals when the route is unknown Basic Qualifications: Bachelor's Degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 2 years of experience developing AI and ML algorithms or technologies At least 4 years of experience programming with Python, Go, Scala, CUDA, or Java Preferred Qualifications: Experience leading development AI systems with tradeoff decisions around cost, latency, throughput and accuracy 6 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience designing, developing, delivering, and supporting AI services Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Experience in building agentic AI systems and agentic workflows Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Proficiency in designing distributed systems for model training, evaluation, and online inference at petabyte scale Experience defining AI model governance processes, including producibility, lineage tracking, and automated retaining schedules Demonstrated ability to influence architectural decisions across multiple AI product lines or platforms Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $197,300 - $225,100 for AI Engineer 4 McLean, VA: $197,300 - $225,100 for AI Engineer 4 New York, NY: $215,200 - $245,600 for AI Engineer 4 San Jose, CA: $215,200 - $245,600 for AI Engineer 4 Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
AI Engineer 4 (Vision model (VLM) customization experience) At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. What You'll Do: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, agents and multi-agent workflows, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more. Invent and introduce state-of-the-art foundation model optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. Own the end-to-end architecture for complex AI systems - ensuring maintainability, observability, and ethical alignment Define and maintain service-level objectives (SLOs) for AI reliability, including latency, uptime, and model performance drift Collaborate with infrastructure engineering to optimize GPU/TPU utilization and accelerate model inference pipelines Lead cross-functional technical reviews for new AI system deployments, ensuring security, data governance, and compliance standards are met Mentor Principal and Senior Associates on scalable design, performance tuning and research-to-production translation The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enables you to see and exploit optimization opportunities that others miss You are a resilient trailblazer who can forge new paths to achieve business goals when the route is unknown Basic Qualifications: Bachelor's Degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 2 years of experience developing AI and ML algorithms or technologies At least 4 years of experience programming with Python, Go, Scala, CUDA, or Java Preferred Qualifications: Experience leading development AI systems with tradeoff decisions around cost, latency, throughput and accuracy 6 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience designing, developing, delivering, and supporting AI services Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Experience in building agentic AI systems and agentic workflows Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Proficiency in designing distributed systems for model training, evaluation, and online inference at petabyte scale Experience defining AI model governance processes, including producibility, lineage tracking, and automated retaining schedules Demonstrated ability to influence architectural decisions across multiple AI product lines or platforms Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $197,300 - $225,100 for AI Engineer 4 McLean, VA: $197,300 - $225,100 for AI Engineer 4 New York, NY: $215,200 - $245,600 for AI Engineer 4 San Jose, CA: $215,200 - $245,600 for AI Engineer 4 Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
09/25/2026
Full time
AI Engineer 4 (Vision model (VLM) customization experience) At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. What You'll Do: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, agents and multi-agent workflows, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more. Invent and introduce state-of-the-art foundation model optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. Own the end-to-end architecture for complex AI systems - ensuring maintainability, observability, and ethical alignment Define and maintain service-level objectives (SLOs) for AI reliability, including latency, uptime, and model performance drift Collaborate with infrastructure engineering to optimize GPU/TPU utilization and accelerate model inference pipelines Lead cross-functional technical reviews for new AI system deployments, ensuring security, data governance, and compliance standards are met Mentor Principal and Senior Associates on scalable design, performance tuning and research-to-production translation The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enables you to see and exploit optimization opportunities that others miss You are a resilient trailblazer who can forge new paths to achieve business goals when the route is unknown Basic Qualifications: Bachelor's Degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 2 years of experience developing AI and ML algorithms or technologies At least 4 years of experience programming with Python, Go, Scala, CUDA, or Java Preferred Qualifications: Experience leading development AI systems with tradeoff decisions around cost, latency, throughput and accuracy 6 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience designing, developing, delivering, and supporting AI services Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Experience in building agentic AI systems and agentic workflows Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Proficiency in designing distributed systems for model training, evaluation, and online inference at petabyte scale Experience defining AI model governance processes, including producibility, lineage tracking, and automated retaining schedules Demonstrated ability to influence architectural decisions across multiple AI product lines or platforms Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $197,300 - $225,100 for AI Engineer 4 McLean, VA: $197,300 - $225,100 for AI Engineer 4 New York, NY: $215,200 - $245,600 for AI Engineer 4 San Jose, CA: $215,200 - $245,600 for AI Engineer 4 Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
RELOCATION ASSISTANCE: Relocation assistance may be available CLEARANCE REQUIRED FOR START: Yes CLEARANCE TYPE: Secret TRAVEL: Yes, 10% of the Time Description At Northrop Grumman, our employees have incredible opportunities to work on revolutionary systems that impact people's lives around the world today, and for generations to come. Our pioneering and inventive spirit has enabled us to be at the forefront of many technological advancements in our nation's history - from the first flight across the Atlantic Ocean, to stealth bombers, to landing on the moon. We look for people who have bold new ideas, courage and a pioneering spirit to join forces to invent the future, and have fun along the way. Our culture thrives on intellectual curiosity, cognitive diversity and bringing your whole self to work - and we have an insatiable drive to do what others think is impossible. Our employees are not only part of history, they're making history. At the heart of Defining Possible is our commitment to missions. In rapidly changing global security environments, Northrop Grumman brings informed insights and software-secure technology to enable strategic planning. We're looking for innovators who can help us keep building on our wide portfolio of secure, affordable, integrated, and multi-domain systems and technologies that fuel those missions. By joining in our shared mission, we'll support yours of expanding your personal network and developing skills, whether you are new to the field, or an industry thought leader. At Northrop Grumman, you'll have the resources, support, and team to do some of the best work of your career. The Advanced EOIR team anticipates a near-term need for a Senior Staff Systems Engineer to work as the Technical Lead/Principal Investigator in performing algorithm concept and development work related to advanced electro-optical and infrared (EO/IR) sensing. As the lead of this team, you will guide the team in sensor modeling, signal/image processing, concept development/refinement, customer/sponsor engagement, and AI/ML algorithm development. The team is focused on researching solutions for emerging sensors and mission areas, and as a result of these successes, we have a need for more staff to support the growing range of programs supported. Come join us for this 100% on-site position from Linthicum, MD! What You'll Get To Do: The AEOIR business area has a rapidly growing set of efforts related to EOIR-based concept development, algorithm development, and signal exploitation. These programs span a range of modalities, but share a common theme of developing new techniques to solve challenging problems. As a technical lead, you will guide a diverse team of physicists, systems engineer, signal processing engineers, and AI/ML engineers in developing novel EOIR sensor capabilities and evaluating the performance of these techniques. You will also perform direct technical work to advance the needs for the group. You will develop concepts for novel EO/IR sensors and develop cutting-edge algorithms to meet emerging mission needs. You will analyze data collected from some of the most advanced sensors ever fielded and generate representative synthetic data using high-fidelity, physics-based models. You will lead interactions with external customers and internal leaders, building trust through communicating the technical achievements and capabilities of the group. You will set the technical vision for the group, defining roadmaps and developing internal R&D plans to create and mature novel technologies. A strong candidate for this role has experience in airborne and/or space-based EOIR sensors, experience developing and implementing algorithms, experience leading teams to successful program execution, and strength in customer engagements. Roles and Responsibilities: Lead technical execution of R&D programs Mentor and develop junior team members Develop, integrate, test, and deploy novel EOIR-centric algorithms Build and maintain physics-based sensor models Develop and quantify performance metrics for system performance Understand data quality and artifact impacts Represent system performance in functional and analytical models This position is contingent upon the successful transfer of an active U.S. Government Secret Clearance and the ability to obtain Special Program Access. Basic Qualifications: Bachelor's Degree with 14 years of experience, a master's degree with 12 years of experience, or a PhD with 10 years of experience in Science, Technology, Engineering, Mathematics or related technical fields; an additional 4 years may be considered in lieu of a degree. U.S Citizenship is required. A current/active U.S. Government Secret Clearance Ability to obtain Special Program Access (SAP) Experience as a team lead with successful customer interactions Experience leading junior and peer team members Experience in technical computing languages, e.g. Python or Matlab Experience with airborne and/or space-based EOIR sensors Experience with Physics-based understanding of detection methods for various phenomenologies Preferred Qualifications: Advanced degree in STEM Experience writing technical proposals Experience acting as principal investigator of team lead for R&D programs Experience developing and executing internal research and development projects Current Top Secret clearance, SAP access(es), and/or SCI access Strong communication skills, both for internal and external audiences Northrop Grumman provides a comprehensive benefits package and a work environment which encourages your growth and supports the mutual success of our people and our company. Northrop Grumman benefits give you the flexibility and control to choose the benefits that make the most sense for you and your family. Your benefits will include the following: Health Plan, Savings Plan, Paid Time Off and Additional Benefits including Education Assistance, Training and Development, 9/80 Work Schedule (where available), and much more! Northrop Grumman has approximately 90,000 employees in all 50 states and in more than 27 countries. We strive to attract and retain the best employees by providing an inclusive work environment wherein employees are receptive to diverse ideas, perspectives, and talents to help solve our toughest customer challenges: to develop and maintain some of the most technically sophisticated products, programs, and services in the world. Our Values. The women and men of Northrop Grumman Corporation are guided by Our Values. They describe our company as we want it to be. We want our decisions and actions to demonstrate these Values. We believe that putting Our Values into practice creates long-term benefits for shareholders, customers, employees, suppliers, and the communities we serve. Our Responsibility. At Northrop Grumman, we are committed to maintaining the highest of ethical standards, embracing diversity and inclusion, protecting the environment, and striving to be an ideal corporate citizen in the community and in the world. Primary Level Salary Range: $184,100.00 - $276,100.00 The above salary range represents a general guideline; however, Northrop Grumman considers a number of factors when determining base salary offers such as the scope and responsibilities of the position and the candidate's experience, education, skills and current market conditions. Depending on the position, employees may be eligible for overtime, shift differential, and a discretionary bonus in addition to base pay. Annual bonuses are designed to reward individual contributions as well as allow employees to share in company results. Employees in Vice President or Director positions may be eligible for Long Term Incentives. In addition, Northrop Grumman provides a variety of benefits including health insurance coverage, life and disability insurance, savings plan, Company paid holidays and paid time off (PTO) for vacation and/or personal business. The application period for the job is estimated to be 20 days from the job posting date. However, this timeline may be shortened or extended depending on business needs and the availability of qualified candidates. Northrop Grumman is an Equal Opportunity Employer, making decisions without regard to race, color, religion, creed, sex, sexual orientation, gender identity, marital status, national origin, age, veteran status, disability, or any other protected class. For our complete EEO and pay transparency statement, please visit U.S. Citizenship is required for all positions with a government clearance and certain other restricted positions.
09/25/2026
Full time
RELOCATION ASSISTANCE: Relocation assistance may be available CLEARANCE REQUIRED FOR START: Yes CLEARANCE TYPE: Secret TRAVEL: Yes, 10% of the Time Description At Northrop Grumman, our employees have incredible opportunities to work on revolutionary systems that impact people's lives around the world today, and for generations to come. Our pioneering and inventive spirit has enabled us to be at the forefront of many technological advancements in our nation's history - from the first flight across the Atlantic Ocean, to stealth bombers, to landing on the moon. We look for people who have bold new ideas, courage and a pioneering spirit to join forces to invent the future, and have fun along the way. Our culture thrives on intellectual curiosity, cognitive diversity and bringing your whole self to work - and we have an insatiable drive to do what others think is impossible. Our employees are not only part of history, they're making history. At the heart of Defining Possible is our commitment to missions. In rapidly changing global security environments, Northrop Grumman brings informed insights and software-secure technology to enable strategic planning. We're looking for innovators who can help us keep building on our wide portfolio of secure, affordable, integrated, and multi-domain systems and technologies that fuel those missions. By joining in our shared mission, we'll support yours of expanding your personal network and developing skills, whether you are new to the field, or an industry thought leader. At Northrop Grumman, you'll have the resources, support, and team to do some of the best work of your career. The Advanced EOIR team anticipates a near-term need for a Senior Staff Systems Engineer to work as the Technical Lead/Principal Investigator in performing algorithm concept and development work related to advanced electro-optical and infrared (EO/IR) sensing. As the lead of this team, you will guide the team in sensor modeling, signal/image processing, concept development/refinement, customer/sponsor engagement, and AI/ML algorithm development. The team is focused on researching solutions for emerging sensors and mission areas, and as a result of these successes, we have a need for more staff to support the growing range of programs supported. Come join us for this 100% on-site position from Linthicum, MD! What You'll Get To Do: The AEOIR business area has a rapidly growing set of efforts related to EOIR-based concept development, algorithm development, and signal exploitation. These programs span a range of modalities, but share a common theme of developing new techniques to solve challenging problems. As a technical lead, you will guide a diverse team of physicists, systems engineer, signal processing engineers, and AI/ML engineers in developing novel EOIR sensor capabilities and evaluating the performance of these techniques. You will also perform direct technical work to advance the needs for the group. You will develop concepts for novel EO/IR sensors and develop cutting-edge algorithms to meet emerging mission needs. You will analyze data collected from some of the most advanced sensors ever fielded and generate representative synthetic data using high-fidelity, physics-based models. You will lead interactions with external customers and internal leaders, building trust through communicating the technical achievements and capabilities of the group. You will set the technical vision for the group, defining roadmaps and developing internal R&D plans to create and mature novel technologies. A strong candidate for this role has experience in airborne and/or space-based EOIR sensors, experience developing and implementing algorithms, experience leading teams to successful program execution, and strength in customer engagements. Roles and Responsibilities: Lead technical execution of R&D programs Mentor and develop junior team members Develop, integrate, test, and deploy novel EOIR-centric algorithms Build and maintain physics-based sensor models Develop and quantify performance metrics for system performance Understand data quality and artifact impacts Represent system performance in functional and analytical models This position is contingent upon the successful transfer of an active U.S. Government Secret Clearance and the ability to obtain Special Program Access. Basic Qualifications: Bachelor's Degree with 14 years of experience, a master's degree with 12 years of experience, or a PhD with 10 years of experience in Science, Technology, Engineering, Mathematics or related technical fields; an additional 4 years may be considered in lieu of a degree. U.S Citizenship is required. A current/active U.S. Government Secret Clearance Ability to obtain Special Program Access (SAP) Experience as a team lead with successful customer interactions Experience leading junior and peer team members Experience in technical computing languages, e.g. Python or Matlab Experience with airborne and/or space-based EOIR sensors Experience with Physics-based understanding of detection methods for various phenomenologies Preferred Qualifications: Advanced degree in STEM Experience writing technical proposals Experience acting as principal investigator of team lead for R&D programs Experience developing and executing internal research and development projects Current Top Secret clearance, SAP access(es), and/or SCI access Strong communication skills, both for internal and external audiences Northrop Grumman provides a comprehensive benefits package and a work environment which encourages your growth and supports the mutual success of our people and our company. Northrop Grumman benefits give you the flexibility and control to choose the benefits that make the most sense for you and your family. Your benefits will include the following: Health Plan, Savings Plan, Paid Time Off and Additional Benefits including Education Assistance, Training and Development, 9/80 Work Schedule (where available), and much more! Northrop Grumman has approximately 90,000 employees in all 50 states and in more than 27 countries. We strive to attract and retain the best employees by providing an inclusive work environment wherein employees are receptive to diverse ideas, perspectives, and talents to help solve our toughest customer challenges: to develop and maintain some of the most technically sophisticated products, programs, and services in the world. Our Values. The women and men of Northrop Grumman Corporation are guided by Our Values. They describe our company as we want it to be. We want our decisions and actions to demonstrate these Values. We believe that putting Our Values into practice creates long-term benefits for shareholders, customers, employees, suppliers, and the communities we serve. Our Responsibility. At Northrop Grumman, we are committed to maintaining the highest of ethical standards, embracing diversity and inclusion, protecting the environment, and striving to be an ideal corporate citizen in the community and in the world. Primary Level Salary Range: $184,100.00 - $276,100.00 The above salary range represents a general guideline; however, Northrop Grumman considers a number of factors when determining base salary offers such as the scope and responsibilities of the position and the candidate's experience, education, skills and current market conditions. Depending on the position, employees may be eligible for overtime, shift differential, and a discretionary bonus in addition to base pay. Annual bonuses are designed to reward individual contributions as well as allow employees to share in company results. Employees in Vice President or Director positions may be eligible for Long Term Incentives. In addition, Northrop Grumman provides a variety of benefits including health insurance coverage, life and disability insurance, savings plan, Company paid holidays and paid time off (PTO) for vacation and/or personal business. The application period for the job is estimated to be 20 days from the job posting date. However, this timeline may be shortened or extended depending on business needs and the availability of qualified candidates. Northrop Grumman is an Equal Opportunity Employer, making decisions without regard to race, color, religion, creed, sex, sexual orientation, gender identity, marital status, national origin, age, veteran status, disability, or any other protected class. For our complete EEO and pay transparency statement, please visit U.S. Citizenship is required for all positions with a government clearance and certain other restricted positions.
RELOCATION ASSISTANCE: Relocation assistance may be available CLEARANCE REQUIRED FOR START: Yes CLEARANCE TYPE: SCI TRAVEL: No Description At Northrop Grumman, our employees have incredible opportunities to work on revolutionary systems that impact people's lives around the world today, and for generations to come. Our pioneering and inventive spirit has enabled us to be at the forefront of many technological advancements in our nation's history - from the first flight across the Atlantic Ocean, to stealth bombers, to landing on the moon. We look for people who have bold new ideas, courage and a pioneering spirit to join forces to invent the future, and have fun along the way. Our culture thrives on intellectual curiosity, cognitive diversity and bringing your whole self to work - and we have an insatiable drive to do what others think is impossible. Our employees are not only part of history, they're making history. Northrop Grumman's Space Sector is seeking a Pr./Sr Principal Systems Engineer Level 3 or Level 4 to join our team in Dulles, VA. This position is 100% onsite and cannot accommodate telecommute work. The job responsibilities will be as an individual-contributor and deliverable/product lead within a multi-disciplinary engineering team, specifically supporting functions related to Fault Management and System Autonomy (FMSA) for space systems. This position will work a 9/80 schedule, with every other Friday off. Your Role and Impact: Perform traditional Systems Engineering functions, including requirements synthesis and flow-down, verification/validation planning, system trades study support, systems analysis, coordination of design efforts, and management of technical budgets & interface definitions The application of these systems engineering functions will be in the context of fault management, system autonomy The candidate must be able to assist in the formulation of system design, definition of concept of operations, and systems analysis for failure modes and effects, including their identification and mitigation through autonomous or operational controls Designing, implementing, and validating Fault Management and System Autonomy Flight Software using flight-like simulations and flight hardware Must be knowledgeable in spacecraft subsystem design, spacecraft testing, flight software best practices, and mission operations Candidate may be called on to assist in new business activities, such as conceptual design and analysis for proposals and funded studies and may include authoring sections for both Presentation skills and the ability to communicate complex technical concepts to either technical or nontechnical audiences is required This position is contingent upon the candidate obtaining final clearances and program access(es) within a reasonable period of time as determined by the company. This position can be filled at either a Level 3 or Level 4. Basic Qualifications for Level 3: Bachelor's degree with 5 years of professional experience or Master's degree with 3 years of professional experience or PhD with 1 year of professional experience Requires an active Top-Secret/Sensitive Compartmented Information (SCI) clearance at time of application Experience in Systems Engineering for mission critical applications Mission and/or vehicle systems engineering experience Software coding or scripting experience Basic Qualifications for Level 4: Bachelor's degree with 8 years of professional experience or Master's degree with 6 years of professional experience or PhD with 4 years of professional experience Requires an active Top-Secret/Sensitive Compartmented Information (SCI) clearance at time of application Experience in Systems Engineering for mission critical applications Mission and/or vehicle systems engineering experience Software coding or scripting experience Preferred Qualifications: Failure analysis or fault management technical experience Experience defining requirements & interfaces Understanding of spacecraft integration & test, launch, and mission operations Experience developing verification documentation Experience with architecture development Experience with spacecraft mission operations Familiarity with electrical & computer systems Familiarity with command and telemetry databases Curious about all the exciting developments with the Northrop Grumman Space Sector? Click the link below: Primary Level Salary Range: $114,000.00 - $171,000.00 Secondary Level Salary Range: $142,200.00 - $213,400.00 The above salary range represents a general guideline; however, Northrop Grumman considers a number of factors when determining base salary offers such as the scope and responsibilities of the position and the candidate's experience, education, skills and current market conditions. Depending on the position, employees may be eligible for overtime, shift differential, and a discretionary bonus in addition to base pay. Annual bonuses are designed to reward individual contributions as well as allow employees to share in company results. Employees in Vice President or Director positions may be eligible for Long Term Incentives. In addition, Northrop Grumman provides a variety of benefits including health insurance coverage, life and disability insurance, savings plan, Company paid holidays and paid time off (PTO) for vacation and/or personal business. The application period for the job is estimated to be 20 days from the job posting date. However, this timeline may be shortened or extended depending on business needs and the availability of qualified candidates. Northrop Grumman is an Equal Opportunity Employer, making decisions without regard to race, color, religion, creed, sex, sexual orientation, gender identity, marital status, national origin, age, veteran status, disability, or any other protected class. For our complete EEO and pay transparency statement, please visit U.S. Citizenship is required for all positions with a government clearance and certain other restricted positions.
09/25/2026
Full time
RELOCATION ASSISTANCE: Relocation assistance may be available CLEARANCE REQUIRED FOR START: Yes CLEARANCE TYPE: SCI TRAVEL: No Description At Northrop Grumman, our employees have incredible opportunities to work on revolutionary systems that impact people's lives around the world today, and for generations to come. Our pioneering and inventive spirit has enabled us to be at the forefront of many technological advancements in our nation's history - from the first flight across the Atlantic Ocean, to stealth bombers, to landing on the moon. We look for people who have bold new ideas, courage and a pioneering spirit to join forces to invent the future, and have fun along the way. Our culture thrives on intellectual curiosity, cognitive diversity and bringing your whole self to work - and we have an insatiable drive to do what others think is impossible. Our employees are not only part of history, they're making history. Northrop Grumman's Space Sector is seeking a Pr./Sr Principal Systems Engineer Level 3 or Level 4 to join our team in Dulles, VA. This position is 100% onsite and cannot accommodate telecommute work. The job responsibilities will be as an individual-contributor and deliverable/product lead within a multi-disciplinary engineering team, specifically supporting functions related to Fault Management and System Autonomy (FMSA) for space systems. This position will work a 9/80 schedule, with every other Friday off. Your Role and Impact: Perform traditional Systems Engineering functions, including requirements synthesis and flow-down, verification/validation planning, system trades study support, systems analysis, coordination of design efforts, and management of technical budgets & interface definitions The application of these systems engineering functions will be in the context of fault management, system autonomy The candidate must be able to assist in the formulation of system design, definition of concept of operations, and systems analysis for failure modes and effects, including their identification and mitigation through autonomous or operational controls Designing, implementing, and validating Fault Management and System Autonomy Flight Software using flight-like simulations and flight hardware Must be knowledgeable in spacecraft subsystem design, spacecraft testing, flight software best practices, and mission operations Candidate may be called on to assist in new business activities, such as conceptual design and analysis for proposals and funded studies and may include authoring sections for both Presentation skills and the ability to communicate complex technical concepts to either technical or nontechnical audiences is required This position is contingent upon the candidate obtaining final clearances and program access(es) within a reasonable period of time as determined by the company. This position can be filled at either a Level 3 or Level 4. Basic Qualifications for Level 3: Bachelor's degree with 5 years of professional experience or Master's degree with 3 years of professional experience or PhD with 1 year of professional experience Requires an active Top-Secret/Sensitive Compartmented Information (SCI) clearance at time of application Experience in Systems Engineering for mission critical applications Mission and/or vehicle systems engineering experience Software coding or scripting experience Basic Qualifications for Level 4: Bachelor's degree with 8 years of professional experience or Master's degree with 6 years of professional experience or PhD with 4 years of professional experience Requires an active Top-Secret/Sensitive Compartmented Information (SCI) clearance at time of application Experience in Systems Engineering for mission critical applications Mission and/or vehicle systems engineering experience Software coding or scripting experience Preferred Qualifications: Failure analysis or fault management technical experience Experience defining requirements & interfaces Understanding of spacecraft integration & test, launch, and mission operations Experience developing verification documentation Experience with architecture development Experience with spacecraft mission operations Familiarity with electrical & computer systems Familiarity with command and telemetry databases Curious about all the exciting developments with the Northrop Grumman Space Sector? Click the link below: Primary Level Salary Range: $114,000.00 - $171,000.00 Secondary Level Salary Range: $142,200.00 - $213,400.00 The above salary range represents a general guideline; however, Northrop Grumman considers a number of factors when determining base salary offers such as the scope and responsibilities of the position and the candidate's experience, education, skills and current market conditions. Depending on the position, employees may be eligible for overtime, shift differential, and a discretionary bonus in addition to base pay. Annual bonuses are designed to reward individual contributions as well as allow employees to share in company results. Employees in Vice President or Director positions may be eligible for Long Term Incentives. In addition, Northrop Grumman provides a variety of benefits including health insurance coverage, life and disability insurance, savings plan, Company paid holidays and paid time off (PTO) for vacation and/or personal business. The application period for the job is estimated to be 20 days from the job posting date. However, this timeline may be shortened or extended depending on business needs and the availability of qualified candidates. Northrop Grumman is an Equal Opportunity Employer, making decisions without regard to race, color, religion, creed, sex, sexual orientation, gender identity, marital status, national origin, age, veteran status, disability, or any other protected class. For our complete EEO and pay transparency statement, please visit U.S. Citizenship is required for all positions with a government clearance and certain other restricted positions.
Job Description At Boeing, we innovate and collaborate to make the world a better place. We're committed to fostering an environment for every teammate that's welcoming, respectful and inclusive, with great opportunity for professional growth. Find your future with us. The Boeing Company is currently seeking a Principal Software Engineer / Developer (Level 5) to support our Phantom Works Software Engineering team located in Berkeley, MO (St. Louis area). This position will focus on supporting the Boeing Defense, Space & Security (BDS) business organization. You will be part of the Phantom Works Open Architecture Systems Integrated Software (OASIS) Solutions team, where you will define, develop, and lead software development for real-time air and/or space systems in an Agile environment. This role requires close collaboration across teams to integrate software and hardware components, supporting mission-critical Defense infrastructure. Due to the scope and responsibilities of Phantom Works, this position requires a U.S. Top Secret security clearance for which the US Government requires US Citizenship. Join Us. Build the Future. You'll have the opportunity to make a meaningful impact early in the software development lifecycle while working alongside exceptional Boeing engineers in a collaborative, inclusive team environment. This position is expected to be 100% onsite. The selected candidate will be required to work onsite at one of the listed location options. (Berkeley, MO / St. Louis, MO area) Position Responsibilities: Own and maintain the software architecture with focus on interface clarity, stability, and versioning to minimize integration risk, with a focus on production type software that is easily maintainable. Partner with appropriate stakeholders to inform system definition and oversee translation of system-level requirements into software requirements and models that meet customer, operational and performance requirements and have clear traceability to design, code and test artifacts. Manage supplier/subcontractor software deliverables to ensure they meet team processes and integration requirements. Lead the software engineering team's agile delivery: facilitate sprint planning, daily stand-ups, sprint reviews/retrospectives, and remove impediments to flow. Serve as the Agile/Delivery lead for software-own backlog prioritization with product/system owners, define sprint goals, and ensure timely delivery of integration-ready increments. Define, document, and enforce software integration contracts (ICDs or equivalent living artifacts), data models, and message definitions in coordination with Integration & Test and Systems leads. Ensure software is designed for testability: require unit, component, integration, SIL/HIL test artifacts with code deliveries, include observability hooks, and ensure failures are diagnosable. Lead DevSecOps and CI/CD practices for the team: ensure pipelines support repeatable builds, automated testing, artifact traceability, and consistent deployments across dev, integration, and test environments. Collaborate with Integration & Test to align delivery cadence to integration increments and controlled configuration baselines. Drive verification & validation execution for software components: support development of test strategies, analyze test results, and triage defects with the team. Establish and track delivery metrics (velocity, cycle time, quality metrics, technical debt) and use them to improve predictability and quality. Coach and mentor engineers on agile practices, test automation, CI/CD, code quality, and observability. Contribute to risk and issue management that affects software delivery and integration readiness; escalate when necessary to protect integration milestones. Document integration results, test findings, and provide inputs for design reviews and readiness assessments. Basic Qualifications (Required Skills/ Experience): Bachelor's Degree Active Top Secret U.S. Security Clearance for which the US Government requires US Citizenship. (A U.S. Security Clearance that has been active in the past 24 months is considered active.) 3+ years of technical leadership experience in ground and software system systems engineering (requirements, design, and operation) 3+ years of experience as the technical leader of a software development or product deployment team 5+ years of experience with Development Operations (DevOps) and/or Development Security Operations (DevSecOps) 5+ years of experience with configuration management tools and best practices for Systems, Software, and Hardware design Preferred Qualifications (Desired Skills/Experience): Level 5 / Bachelor of Science degree from an accredited course of study in engineering, engineering technology (includes manufacturing engineering technology), chemistry, physics, mathematics, data science, or computer science and 14+ years of related work experience OR Bachelor's Degree and 18+ years of directly related work experience OR 22+ years of related, relevant experience Advanced degree (MS/PhD) in a relevant field. Practical experience with requirements tracing and configuration management. Certified Scrum Master (CSM), Professional Scrum Master (PSM), SAFe Agilist, or equivalent agile certification. Prior leadership on aerospace, defense, avionics, or other safety critical systems. Experience with cloud-native infrastructures (Docker/Kubernetes, AWS GovCloud, Azure Government). Experience with model-based design/verification and SIL/HIL testing environments. Experience managing subcontractor software deliveries. Significant experience with real-time embedded software (C/C++), low-level driver development, network stacks, and hardware/software testing/debugging for microcontrollers and/or FPGAs Experience & ability to implement real-time embedded hardware, firmware & software Possess strong analytical skills, knowledge & proficiency with physical modeling and simulation tools High level software development experience for applied physics, modeling, and/or simulation using MATLAB, Python, and or Jupyter, etc. Experience in real-time embedded systems and low-level driver development with microcontrollers, single board computers, and/or FPGAs Perform control system logic/algorithm, hardware, and software development tasks Drug Free Workplace: Boeing is a Drug Free Workplace (DFW) where post offer applicants and employees are subject to testing for marijuana, cocaine, opioids, amphetamines, PCP, and alcohol when criteria is met as outlined in our policies. Relocation: This position offers relocation based on candidate eligibility. Note: Basic relocation will be offered for eligible internal candidates. Travel: Occasional travel (10%) to California may be required. Conflict of Interest: Successful candidates for this job must satisfy the Company's Conflict of Interest (COI) assessment process. CodeVue Coding Challenge: To be considered for this position you will be required to complete a technical assessment as part of the selection process. Failure to complete the assessment will remove you from consideration. Pay & Benefits: At Boeing, we strive to deliver a Total Rewards package that will attract, engage and retain the top talent. Elements of the Total Rewards package include competitive base pay and variable compensation opportunities. The Boeing Company also provides eligible employees with an opportunity to enroll in a variety of benefit programs, generally including health insurance, flexible spending accounts, health savings accounts, retirement savings plans, life and disability insurance programs, and a number of programs that provide for both paid and unpaid time away from work. The specific programs and options available to any given employee may vary depending on eligibility factors such as geographic location, date of hire, and the applicability of collective bargaining agreements. Pay is based upon candidate experience and qualifications, as well as market and business considerations. Summary pay range for Senior/Lead Level: $198,050 - $267,950 Potential signing bonus for eligible/qualified external candidates. Applications for this position will be accepted until Oct. 09, 2026 Export Control Requirements: This position must meet U.S. export control compliance requirements. To meet U.S. export control compliance requirements, a "U.S. Person" as defined by 22 C.F.R. 120.62 is required. "U.S. Person" includes U.S. Citizen, U.S. National, lawful permanent resident, refugee, or asylee. Export Control Details: US based job, US Person required Education Bachelor's Degree or Equivalent Required Relocation This position offers relocation based on candidate eligibility. Security Clearance This position requires an active U.S. Top Secret Security Clearance (U.S. Citizenship Required). (A U.S. Security Clearance that has been active in the past 24 months is considered active) Visa Sponsorship Employer will not sponsor applicants for employment visa status. Shift . click apply for full job details
09/25/2026
Full time
Job Description At Boeing, we innovate and collaborate to make the world a better place. We're committed to fostering an environment for every teammate that's welcoming, respectful and inclusive, with great opportunity for professional growth. Find your future with us. The Boeing Company is currently seeking a Principal Software Engineer / Developer (Level 5) to support our Phantom Works Software Engineering team located in Berkeley, MO (St. Louis area). This position will focus on supporting the Boeing Defense, Space & Security (BDS) business organization. You will be part of the Phantom Works Open Architecture Systems Integrated Software (OASIS) Solutions team, where you will define, develop, and lead software development for real-time air and/or space systems in an Agile environment. This role requires close collaboration across teams to integrate software and hardware components, supporting mission-critical Defense infrastructure. Due to the scope and responsibilities of Phantom Works, this position requires a U.S. Top Secret security clearance for which the US Government requires US Citizenship. Join Us. Build the Future. You'll have the opportunity to make a meaningful impact early in the software development lifecycle while working alongside exceptional Boeing engineers in a collaborative, inclusive team environment. This position is expected to be 100% onsite. The selected candidate will be required to work onsite at one of the listed location options. (Berkeley, MO / St. Louis, MO area) Position Responsibilities: Own and maintain the software architecture with focus on interface clarity, stability, and versioning to minimize integration risk, with a focus on production type software that is easily maintainable. Partner with appropriate stakeholders to inform system definition and oversee translation of system-level requirements into software requirements and models that meet customer, operational and performance requirements and have clear traceability to design, code and test artifacts. Manage supplier/subcontractor software deliverables to ensure they meet team processes and integration requirements. Lead the software engineering team's agile delivery: facilitate sprint planning, daily stand-ups, sprint reviews/retrospectives, and remove impediments to flow. Serve as the Agile/Delivery lead for software-own backlog prioritization with product/system owners, define sprint goals, and ensure timely delivery of integration-ready increments. Define, document, and enforce software integration contracts (ICDs or equivalent living artifacts), data models, and message definitions in coordination with Integration & Test and Systems leads. Ensure software is designed for testability: require unit, component, integration, SIL/HIL test artifacts with code deliveries, include observability hooks, and ensure failures are diagnosable. Lead DevSecOps and CI/CD practices for the team: ensure pipelines support repeatable builds, automated testing, artifact traceability, and consistent deployments across dev, integration, and test environments. Collaborate with Integration & Test to align delivery cadence to integration increments and controlled configuration baselines. Drive verification & validation execution for software components: support development of test strategies, analyze test results, and triage defects with the team. Establish and track delivery metrics (velocity, cycle time, quality metrics, technical debt) and use them to improve predictability and quality. Coach and mentor engineers on agile practices, test automation, CI/CD, code quality, and observability. Contribute to risk and issue management that affects software delivery and integration readiness; escalate when necessary to protect integration milestones. Document integration results, test findings, and provide inputs for design reviews and readiness assessments. Basic Qualifications (Required Skills/ Experience): Bachelor's Degree Active Top Secret U.S. Security Clearance for which the US Government requires US Citizenship. (A U.S. Security Clearance that has been active in the past 24 months is considered active.) 3+ years of technical leadership experience in ground and software system systems engineering (requirements, design, and operation) 3+ years of experience as the technical leader of a software development or product deployment team 5+ years of experience with Development Operations (DevOps) and/or Development Security Operations (DevSecOps) 5+ years of experience with configuration management tools and best practices for Systems, Software, and Hardware design Preferred Qualifications (Desired Skills/Experience): Level 5 / Bachelor of Science degree from an accredited course of study in engineering, engineering technology (includes manufacturing engineering technology), chemistry, physics, mathematics, data science, or computer science and 14+ years of related work experience OR Bachelor's Degree and 18+ years of directly related work experience OR 22+ years of related, relevant experience Advanced degree (MS/PhD) in a relevant field. Practical experience with requirements tracing and configuration management. Certified Scrum Master (CSM), Professional Scrum Master (PSM), SAFe Agilist, or equivalent agile certification. Prior leadership on aerospace, defense, avionics, or other safety critical systems. Experience with cloud-native infrastructures (Docker/Kubernetes, AWS GovCloud, Azure Government). Experience with model-based design/verification and SIL/HIL testing environments. Experience managing subcontractor software deliveries. Significant experience with real-time embedded software (C/C++), low-level driver development, network stacks, and hardware/software testing/debugging for microcontrollers and/or FPGAs Experience & ability to implement real-time embedded hardware, firmware & software Possess strong analytical skills, knowledge & proficiency with physical modeling and simulation tools High level software development experience for applied physics, modeling, and/or simulation using MATLAB, Python, and or Jupyter, etc. Experience in real-time embedded systems and low-level driver development with microcontrollers, single board computers, and/or FPGAs Perform control system logic/algorithm, hardware, and software development tasks Drug Free Workplace: Boeing is a Drug Free Workplace (DFW) where post offer applicants and employees are subject to testing for marijuana, cocaine, opioids, amphetamines, PCP, and alcohol when criteria is met as outlined in our policies. Relocation: This position offers relocation based on candidate eligibility. Note: Basic relocation will be offered for eligible internal candidates. Travel: Occasional travel (10%) to California may be required. Conflict of Interest: Successful candidates for this job must satisfy the Company's Conflict of Interest (COI) assessment process. CodeVue Coding Challenge: To be considered for this position you will be required to complete a technical assessment as part of the selection process. Failure to complete the assessment will remove you from consideration. Pay & Benefits: At Boeing, we strive to deliver a Total Rewards package that will attract, engage and retain the top talent. Elements of the Total Rewards package include competitive base pay and variable compensation opportunities. The Boeing Company also provides eligible employees with an opportunity to enroll in a variety of benefit programs, generally including health insurance, flexible spending accounts, health savings accounts, retirement savings plans, life and disability insurance programs, and a number of programs that provide for both paid and unpaid time away from work. The specific programs and options available to any given employee may vary depending on eligibility factors such as geographic location, date of hire, and the applicability of collective bargaining agreements. Pay is based upon candidate experience and qualifications, as well as market and business considerations. Summary pay range for Senior/Lead Level: $198,050 - $267,950 Potential signing bonus for eligible/qualified external candidates. Applications for this position will be accepted until Oct. 09, 2026 Export Control Requirements: This position must meet U.S. export control compliance requirements. To meet U.S. export control compliance requirements, a "U.S. Person" as defined by 22 C.F.R. 120.62 is required. "U.S. Person" includes U.S. Citizen, U.S. National, lawful permanent resident, refugee, or asylee. Export Control Details: US based job, US Person required Education Bachelor's Degree or Equivalent Required Relocation This position offers relocation based on candidate eligibility. Security Clearance This position requires an active U.S. Top Secret Security Clearance (U.S. Citizenship Required). (A U.S. Security Clearance that has been active in the past 24 months is considered active) Visa Sponsorship Employer will not sponsor applicants for employment visa status. Shift . click apply for full job details
Quick Position Facts! Location: Virginia Beach, Virginia at our G2 Ops office. Work Setting: In-Office with Hybrid or Flexible Schedule Available Based on Program Requirements Salary Range: $140,000 - $165,000 plus comprehensive benefits package. Years of Industry Experience: 10 + years of relevant experience. Security Clearance Requirement: Active DoD Secret clearance required at start, with the ability to obtain and maintain a DoD Top Secret clearance after starting. About the Role. As a Principal Software Engineer , you'll shape the technical direction of software capabilities supporting the AEGIS portfolio and Department of Defense missions. You'll serve as the senior software engineering lead across a portfolio of cybersecurity and digital engineering applications, with primary responsibility for the continued development and evolution of the SOFIA Cyber Analytics Platform and technical oversight of MONARCH, SMART, and related capabilities. This is a hands-on technical leadership role for an experienced software engineer who enjoys solving complex problems, setting technical direction, and mentoring other engineers. You'll work closely with software, cybersecurity, and systems engineers, program leadership, and customers to turn complex mission needs into secure, scalable, and maintainable software solutions. What You'll Do Lead the technical direction of SOFIA, MONARCH, SMART, and related software capabilities supporting the AEGIS portfolio. Own software architecture and guide the design, development, integration, deployment, and continued evolution of mission-focused applications. Provide hands-on technical leadership to the SOFIA development team, guiding technical planning, development priorities, design decisions, code quality, and engineering execution. Establish and promote software engineering standards and best practices across front-end and back-end development, APIs, databases, analytics, cloud integration, and plugin development. Translate user and mission needs into software architectures, technical requirements, development priorities, and executable solutions. Guide development of capabilities supporting cyber analytics, vulnerability and reachability analysis, mission impact assessment, data visualization, digital engineering, and decision support. Review software designs and source code, troubleshoot complex technical challenges, and mentor engineers through architecture reviews, code reviews, and technical planning. Advance modern development practices, including Agile, DevOps/DevSecOps, CI/CD, automated testing, configuration management, and secure software development. Evaluate emerging technologies, including AI, advanced analytics, cloud services, and modern software frameworks, and apply them where they provide meaningful value. Collaborate across engineering disciplines and with program leadership and customer stakeholders to support technical demonstrations, customer engagements, technical planning, proposals, and R&D efforts. What You'll Bring Bachelor's degree in Computer Science, Software Engineering, Computer Engineering, or a related technical discipline; Master's degree preferred. 10+ years of professional software engineering experience, including designing, developing, enhancing, and sustaining software applications. Experience serving as a Lead Software Engineer, Principal Software Engineer, Software Architect, Technical Lead, or similar technical leadership role. Strong programming foundation with professional development experience in one or more modern programming languages. Experience with modern web applications, distributed systems, APIs, databases, cloud technologies, and data-driven software solutions. Strong understanding of software architecture and secure software development, with the ability to review designs and source code, troubleshoot complex issues, and provide technical direction to other engineers. Experience applying Agile and DevOps/DevSecOps practices, including CI/CD and modern software delivery approaches. Strong communication skills with the ability to lead technical discussions across multidisciplinary engineering teams, program leadership, and customer stakeholders. Experience supporting Department of Defense or Federal Government software development programs preferred. Experience with cybersecurity analytics, digital engineering, MBSE, system-of-systems environments, AI/advanced analytics, or mission-focused engineering applications preferred. Certified Scrum Developer, Agile Developer, comparable software development certification, and/or CompTIA Security+ preferred. Additional Considerations This is a full-time position supporting mission-focused customer environments. Outside employment or activities must not create conflicts of interest with company or customer responsibilities Why G2 Ops? What makes someone choose one company over another? Compensation, benefits, meaningful work, flexibility, growth opportunities, culture? At G2 Ops, we believe you shouldn't have to choose. We offer competitive pay and benefits, but what truly sets us apart is our collaborative culture. Team members support mission-focused projects alongside highly skilled technical professionals across engineering, cybersecurity, operations, and program teams. We encourage continuous learning, cross-training, and professional growth while empowering team members to contribute ideas that improve how we work and deliver value to our customers. At G2 Ops, your contributions matter to our customers' missions and to the continued success of our team. Compensation & Benefits. The annual salary range for this position is $140,000 - $165,000, depending on qualifications and experience. G2 Ops offers a competitive compensation and benefits package designed to support our employees both personally and professionally, including: 100% company-paid insurance for medical, dental, and vision for eligible employees and family members 100% company-paid insurance for life, short-term disability (STD), and long-term disability (LTD) for eligible employees 401(k) plan with discretionary employer matching 10 paid holidays Paid time off (PTO) Educational assistance In addition, we provide professional development opportunities, performance recognition programs, and resources that support long-term career growth and work-life balance. AI at G2 Ops. At G2 Ops, we don't just talk about AI - we actively use it to improve how we work. Our teams are integrating AI into engineering, cybersecurity, operations, and decision-making workflows. We continue to invest in secure AI tooling aligned with government security requirements while developing practical, mission-focused applications across the company. Whether your role is technical or operational, you'll have opportunities to explore how AI can enhance efficiency, innovation, and mission impact. Work Environment. Because we support classified and mission-critical DoD programs, many roles require onsite collaboration at G2 Ops offices and/or customer locations. Depending on program requirements, telework and flexible scheduling options may be available. We've built a collaborative environment where team members can learn, contribute, and grow while supporting meaningful customer missions. Ready to Apply? If you're excited about solving meaningful problems, working alongside talented teammates, and contributing to important mission-focused work, we'd love to hear from you. We look forward to learning more about you! About G2 Ops, Inc. (G2 Ops) G2 Ops leverages over a decade of experience integrating Systems, Cybersecurity, and Software Engineering techniques to provide solutions to a growing list of Government and private customers. We combine cutting edge tools with innovative engineering practices, data analytics, and risk algorithms that enhance visibility into complex infrastructures, optimizing resiliency in system design and operations. G2 Ops is a woman-owned small business led by an executive staff known for providing innovative solutions to solve our nation's most complex engineering challenges. G2 Ops has been named to the Inc. 5000 list of America's fastest growing companies each of the last 9 years () and has locations in Arlington, VA, Virginia Beach, VA, and San Diego, CA. G2 Ops, Inc. is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, sexual orientation, gender identity), national origin, age, disability, genetic information, protected veteran status, or any other characteristic protected by applicable federal, state, or local law. G2 Ops, Inc. participates in the E-Verify program. Employment is contingent upon verification of identity and authorization to work in the United States. Applicants have rights under Federal Employment Laws: E-Verify Participation and Right to Work Notices:
09/25/2026
Full time
Quick Position Facts! Location: Virginia Beach, Virginia at our G2 Ops office. Work Setting: In-Office with Hybrid or Flexible Schedule Available Based on Program Requirements Salary Range: $140,000 - $165,000 plus comprehensive benefits package. Years of Industry Experience: 10 + years of relevant experience. Security Clearance Requirement: Active DoD Secret clearance required at start, with the ability to obtain and maintain a DoD Top Secret clearance after starting. About the Role. As a Principal Software Engineer , you'll shape the technical direction of software capabilities supporting the AEGIS portfolio and Department of Defense missions. You'll serve as the senior software engineering lead across a portfolio of cybersecurity and digital engineering applications, with primary responsibility for the continued development and evolution of the SOFIA Cyber Analytics Platform and technical oversight of MONARCH, SMART, and related capabilities. This is a hands-on technical leadership role for an experienced software engineer who enjoys solving complex problems, setting technical direction, and mentoring other engineers. You'll work closely with software, cybersecurity, and systems engineers, program leadership, and customers to turn complex mission needs into secure, scalable, and maintainable software solutions. What You'll Do Lead the technical direction of SOFIA, MONARCH, SMART, and related software capabilities supporting the AEGIS portfolio. Own software architecture and guide the design, development, integration, deployment, and continued evolution of mission-focused applications. Provide hands-on technical leadership to the SOFIA development team, guiding technical planning, development priorities, design decisions, code quality, and engineering execution. Establish and promote software engineering standards and best practices across front-end and back-end development, APIs, databases, analytics, cloud integration, and plugin development. Translate user and mission needs into software architectures, technical requirements, development priorities, and executable solutions. Guide development of capabilities supporting cyber analytics, vulnerability and reachability analysis, mission impact assessment, data visualization, digital engineering, and decision support. Review software designs and source code, troubleshoot complex technical challenges, and mentor engineers through architecture reviews, code reviews, and technical planning. Advance modern development practices, including Agile, DevOps/DevSecOps, CI/CD, automated testing, configuration management, and secure software development. Evaluate emerging technologies, including AI, advanced analytics, cloud services, and modern software frameworks, and apply them where they provide meaningful value. Collaborate across engineering disciplines and with program leadership and customer stakeholders to support technical demonstrations, customer engagements, technical planning, proposals, and R&D efforts. What You'll Bring Bachelor's degree in Computer Science, Software Engineering, Computer Engineering, or a related technical discipline; Master's degree preferred. 10+ years of professional software engineering experience, including designing, developing, enhancing, and sustaining software applications. Experience serving as a Lead Software Engineer, Principal Software Engineer, Software Architect, Technical Lead, or similar technical leadership role. Strong programming foundation with professional development experience in one or more modern programming languages. Experience with modern web applications, distributed systems, APIs, databases, cloud technologies, and data-driven software solutions. Strong understanding of software architecture and secure software development, with the ability to review designs and source code, troubleshoot complex issues, and provide technical direction to other engineers. Experience applying Agile and DevOps/DevSecOps practices, including CI/CD and modern software delivery approaches. Strong communication skills with the ability to lead technical discussions across multidisciplinary engineering teams, program leadership, and customer stakeholders. Experience supporting Department of Defense or Federal Government software development programs preferred. Experience with cybersecurity analytics, digital engineering, MBSE, system-of-systems environments, AI/advanced analytics, or mission-focused engineering applications preferred. Certified Scrum Developer, Agile Developer, comparable software development certification, and/or CompTIA Security+ preferred. Additional Considerations This is a full-time position supporting mission-focused customer environments. Outside employment or activities must not create conflicts of interest with company or customer responsibilities Why G2 Ops? What makes someone choose one company over another? Compensation, benefits, meaningful work, flexibility, growth opportunities, culture? At G2 Ops, we believe you shouldn't have to choose. We offer competitive pay and benefits, but what truly sets us apart is our collaborative culture. Team members support mission-focused projects alongside highly skilled technical professionals across engineering, cybersecurity, operations, and program teams. We encourage continuous learning, cross-training, and professional growth while empowering team members to contribute ideas that improve how we work and deliver value to our customers. At G2 Ops, your contributions matter to our customers' missions and to the continued success of our team. Compensation & Benefits. The annual salary range for this position is $140,000 - $165,000, depending on qualifications and experience. G2 Ops offers a competitive compensation and benefits package designed to support our employees both personally and professionally, including: 100% company-paid insurance for medical, dental, and vision for eligible employees and family members 100% company-paid insurance for life, short-term disability (STD), and long-term disability (LTD) for eligible employees 401(k) plan with discretionary employer matching 10 paid holidays Paid time off (PTO) Educational assistance In addition, we provide professional development opportunities, performance recognition programs, and resources that support long-term career growth and work-life balance. AI at G2 Ops. At G2 Ops, we don't just talk about AI - we actively use it to improve how we work. Our teams are integrating AI into engineering, cybersecurity, operations, and decision-making workflows. We continue to invest in secure AI tooling aligned with government security requirements while developing practical, mission-focused applications across the company. Whether your role is technical or operational, you'll have opportunities to explore how AI can enhance efficiency, innovation, and mission impact. Work Environment. Because we support classified and mission-critical DoD programs, many roles require onsite collaboration at G2 Ops offices and/or customer locations. Depending on program requirements, telework and flexible scheduling options may be available. We've built a collaborative environment where team members can learn, contribute, and grow while supporting meaningful customer missions. Ready to Apply? If you're excited about solving meaningful problems, working alongside talented teammates, and contributing to important mission-focused work, we'd love to hear from you. We look forward to learning more about you! About G2 Ops, Inc. (G2 Ops) G2 Ops leverages over a decade of experience integrating Systems, Cybersecurity, and Software Engineering techniques to provide solutions to a growing list of Government and private customers. We combine cutting edge tools with innovative engineering practices, data analytics, and risk algorithms that enhance visibility into complex infrastructures, optimizing resiliency in system design and operations. G2 Ops is a woman-owned small business led by an executive staff known for providing innovative solutions to solve our nation's most complex engineering challenges. G2 Ops has been named to the Inc. 5000 list of America's fastest growing companies each of the last 9 years () and has locations in Arlington, VA, Virginia Beach, VA, and San Diego, CA. G2 Ops, Inc. is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, sexual orientation, gender identity), national origin, age, disability, genetic information, protected veteran status, or any other characteristic protected by applicable federal, state, or local law. G2 Ops, Inc. participates in the E-Verify program. Employment is contingent upon verification of identity and authorization to work in the United States. Applicants have rights under Federal Employment Laws: E-Verify Participation and Right to Work Notices:
Quick Position Facts! Location: Arlington, Virginia at our G2 Ops office. Work Setting: In-Office with Hybrid or Flexible Schedule Available Based on Program Requirements Salary Range: $145,000 - $170,000 plus comprehensive benefits package. Years of Industry Experience: 10 + years of relevant experience. Security Clearance Requirement: Active DoD Secret clearance required at start, with the ability to obtain and maintain a DoD Top Secret clearance after starting. About the Role. As a Principal Software Engineer , you'll shape the technical direction of software capabilities supporting the AEGIS portfolio and Department of Defense missions. You'll serve as the senior software engineering lead across a portfolio of cybersecurity and digital engineering applications, with primary responsibility for the continued development and evolution of the SOFIA Cyber Analytics Platform and technical oversight of MONARCH, SMART, and related capabilities. This is a hands-on technical leadership role for an experienced software engineer who enjoys solving complex problems, setting technical direction, and mentoring other engineers. You'll work closely with software, cybersecurity, and systems engineers, program leadership, and customers to turn complex mission needs into secure, scalable, and maintainable software solutions. What You'll Do Lead the technical direction of SOFIA, MONARCH, SMART, and related software capabilities supporting the AEGIS portfolio. Own software architecture and guide the design, development, integration, deployment, and continued evolution of mission-focused applications. Provide hands-on technical leadership to the SOFIA development team, guiding technical planning, development priorities, design decisions, code quality, and engineering execution. Establish and promote software engineering standards and best practices across front-end and back-end development, APIs, databases, analytics, cloud integration, and plugin development. Translate user and mission needs into software architectures, technical requirements, development priorities, and executable solutions. Guide development of capabilities supporting cyber analytics, vulnerability and reachability analysis, mission impact assessment, data visualization, digital engineering, and decision support. Review software designs and source code, troubleshoot complex technical challenges, and mentor engineers through architecture reviews, code reviews, and technical planning. Advance modern development practices, including Agile, DevOps/DevSecOps, CI/CD, automated testing, configuration management, and secure software development. Evaluate emerging technologies, including AI, advanced analytics, cloud services, and modern software frameworks, and apply them where they provide meaningful value. Collaborate across engineering disciplines and with program leadership and customer stakeholders to support technical demonstrations, customer engagements, technical planning, proposals, and R&D efforts. What You'll Bring Bachelor's degree in Computer Science, Software Engineering, Computer Engineering, or a related technical discipline; Master's degree preferred. 10+ years of professional software engineering experience, including designing, developing, enhancing, and sustaining software applications. Experience serving as a Lead Software Engineer, Principal Software Engineer, Software Architect, Technical Lead, or similar technical leadership role. Strong programming foundation with professional development experience in one or more modern programming languages. Experience with modern web applications, distributed systems, APIs, databases, cloud technologies, and data-driven software solutions. Strong understanding of software architecture and secure software development, with the ability to review designs and source code, troubleshoot complex issues, and provide technical direction to other engineers. Experience applying Agile and DevOps/DevSecOps practices, including CI/CD and modern software delivery approaches. Strong communication skills with the ability to lead technical discussions across multidisciplinary engineering teams, program leadership, and customer stakeholders. Experience supporting Department of Defense or Federal Government software development programs preferred. Experience with cybersecurity analytics, digital engineering, MBSE, system-of-systems environments, AI/advanced analytics, or mission-focused engineering applications preferred. Certified Scrum Developer, Agile Developer, comparable software development certification, and/or CompTIA Security+ preferred. Additional Considerations This is a full-time position supporting mission-focused customer environments. Outside employment or activities must not create conflicts of interest with company or customer responsibilities Why G2 Ops? What makes someone choose one company over another? Compensation, benefits, meaningful work, flexibility, growth opportunities, culture? At G2 Ops, we believe you shouldn't have to choose. We offer competitive pay and benefits, but what truly sets us apart is our collaborative culture. Team members support mission-focused projects alongside highly skilled technical professionals across engineering, cybersecurity, operations, and program teams. We encourage continuous learning, cross-training, and professional growth while empowering team members to contribute ideas that improve how we work and deliver value to our customers. At G2 Ops, your contributions matter to our customers' missions and to the continued success of our team. Compensation & Benefits. The annual salary range for this position is $145,000 - $170,000, depending on qualifications and experience. G2 Ops offers a competitive compensation and benefits package designed to support our employees both personally and professionally, including: 100% company-paid insurance for medical, dental, and vision for eligible employees and family members 100% company-paid insurance for life, short-term disability (STD), and long-term disability (LTD) for eligible employees 401(k) plan with discretionary employer matching 10 paid holidays Paid time off (PTO) Educational assistance In addition, we provide professional development opportunities, performance recognition programs, and resources that support long-term career growth and work-life balance. AI at G2 Ops. At G2 Ops, we don't just talk about AI - we actively use it to improve how we work. Our teams are integrating AI into engineering, cybersecurity, operations, and decision-making workflows. We continue to invest in secure AI tooling aligned with government security requirements while developing practical, mission-focused applications across the company. Whether your role is technical or operational, you'll have opportunities to explore how AI can enhance efficiency, innovation, and mission impact. Work Environment. Because we support classified and mission-critical DoD programs, many roles require onsite collaboration at G2 Ops offices and/or customer locations. Depending on program requirements, telework and flexible scheduling options may be available. We've built a collaborative environment where team members can learn, contribute, and grow while supporting meaningful customer missions. Ready to Apply? If you're excited about solving meaningful problems, working alongside talented teammates, and contributing to important mission-focused work, we'd love to hear from you. We look forward to learning more about you! About G2 Ops, Inc. (G2 Ops) G2 Ops leverages over a decade of experience integrating Systems, Cybersecurity, and Software Engineering techniques to provide solutions to a growing list of Government and private customers. We combine cutting edge tools with innovative engineering practices, data analytics, and risk algorithms that enhance visibility into complex infrastructures, optimizing resiliency in system design and operations. G2 Ops is a woman-owned small business led by an executive staff known for providing innovative solutions to solve our nation's most complex engineering challenges. G2 Ops has been named to the Inc. 5000 list of America's fastest growing companies each of the last 9 years () and has locations in Arlington, VA, Virginia Beach, VA, and San Diego, CA. G2 Ops, Inc. is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, sexual orientation, gender identity), national origin, age, disability, genetic information, protected veteran status, or any other characteristic protected by applicable federal, state, or local law. G2 Ops, Inc. participates in the E-Verify program. Employment is contingent upon verification of identity and authorization to work in the United States. Applicants have rights under Federal Employment Laws: E-Verify Participation and Right to Work Notices:
09/25/2026
Full time
Quick Position Facts! Location: Arlington, Virginia at our G2 Ops office. Work Setting: In-Office with Hybrid or Flexible Schedule Available Based on Program Requirements Salary Range: $145,000 - $170,000 plus comprehensive benefits package. Years of Industry Experience: 10 + years of relevant experience. Security Clearance Requirement: Active DoD Secret clearance required at start, with the ability to obtain and maintain a DoD Top Secret clearance after starting. About the Role. As a Principal Software Engineer , you'll shape the technical direction of software capabilities supporting the AEGIS portfolio and Department of Defense missions. You'll serve as the senior software engineering lead across a portfolio of cybersecurity and digital engineering applications, with primary responsibility for the continued development and evolution of the SOFIA Cyber Analytics Platform and technical oversight of MONARCH, SMART, and related capabilities. This is a hands-on technical leadership role for an experienced software engineer who enjoys solving complex problems, setting technical direction, and mentoring other engineers. You'll work closely with software, cybersecurity, and systems engineers, program leadership, and customers to turn complex mission needs into secure, scalable, and maintainable software solutions. What You'll Do Lead the technical direction of SOFIA, MONARCH, SMART, and related software capabilities supporting the AEGIS portfolio. Own software architecture and guide the design, development, integration, deployment, and continued evolution of mission-focused applications. Provide hands-on technical leadership to the SOFIA development team, guiding technical planning, development priorities, design decisions, code quality, and engineering execution. Establish and promote software engineering standards and best practices across front-end and back-end development, APIs, databases, analytics, cloud integration, and plugin development. Translate user and mission needs into software architectures, technical requirements, development priorities, and executable solutions. Guide development of capabilities supporting cyber analytics, vulnerability and reachability analysis, mission impact assessment, data visualization, digital engineering, and decision support. Review software designs and source code, troubleshoot complex technical challenges, and mentor engineers through architecture reviews, code reviews, and technical planning. Advance modern development practices, including Agile, DevOps/DevSecOps, CI/CD, automated testing, configuration management, and secure software development. Evaluate emerging technologies, including AI, advanced analytics, cloud services, and modern software frameworks, and apply them where they provide meaningful value. Collaborate across engineering disciplines and with program leadership and customer stakeholders to support technical demonstrations, customer engagements, technical planning, proposals, and R&D efforts. What You'll Bring Bachelor's degree in Computer Science, Software Engineering, Computer Engineering, or a related technical discipline; Master's degree preferred. 10+ years of professional software engineering experience, including designing, developing, enhancing, and sustaining software applications. Experience serving as a Lead Software Engineer, Principal Software Engineer, Software Architect, Technical Lead, or similar technical leadership role. Strong programming foundation with professional development experience in one or more modern programming languages. Experience with modern web applications, distributed systems, APIs, databases, cloud technologies, and data-driven software solutions. Strong understanding of software architecture and secure software development, with the ability to review designs and source code, troubleshoot complex issues, and provide technical direction to other engineers. Experience applying Agile and DevOps/DevSecOps practices, including CI/CD and modern software delivery approaches. Strong communication skills with the ability to lead technical discussions across multidisciplinary engineering teams, program leadership, and customer stakeholders. Experience supporting Department of Defense or Federal Government software development programs preferred. Experience with cybersecurity analytics, digital engineering, MBSE, system-of-systems environments, AI/advanced analytics, or mission-focused engineering applications preferred. Certified Scrum Developer, Agile Developer, comparable software development certification, and/or CompTIA Security+ preferred. Additional Considerations This is a full-time position supporting mission-focused customer environments. Outside employment or activities must not create conflicts of interest with company or customer responsibilities Why G2 Ops? What makes someone choose one company over another? Compensation, benefits, meaningful work, flexibility, growth opportunities, culture? At G2 Ops, we believe you shouldn't have to choose. We offer competitive pay and benefits, but what truly sets us apart is our collaborative culture. Team members support mission-focused projects alongside highly skilled technical professionals across engineering, cybersecurity, operations, and program teams. We encourage continuous learning, cross-training, and professional growth while empowering team members to contribute ideas that improve how we work and deliver value to our customers. At G2 Ops, your contributions matter to our customers' missions and to the continued success of our team. Compensation & Benefits. The annual salary range for this position is $145,000 - $170,000, depending on qualifications and experience. G2 Ops offers a competitive compensation and benefits package designed to support our employees both personally and professionally, including: 100% company-paid insurance for medical, dental, and vision for eligible employees and family members 100% company-paid insurance for life, short-term disability (STD), and long-term disability (LTD) for eligible employees 401(k) plan with discretionary employer matching 10 paid holidays Paid time off (PTO) Educational assistance In addition, we provide professional development opportunities, performance recognition programs, and resources that support long-term career growth and work-life balance. AI at G2 Ops. At G2 Ops, we don't just talk about AI - we actively use it to improve how we work. Our teams are integrating AI into engineering, cybersecurity, operations, and decision-making workflows. We continue to invest in secure AI tooling aligned with government security requirements while developing practical, mission-focused applications across the company. Whether your role is technical or operational, you'll have opportunities to explore how AI can enhance efficiency, innovation, and mission impact. Work Environment. Because we support classified and mission-critical DoD programs, many roles require onsite collaboration at G2 Ops offices and/or customer locations. Depending on program requirements, telework and flexible scheduling options may be available. We've built a collaborative environment where team members can learn, contribute, and grow while supporting meaningful customer missions. Ready to Apply? If you're excited about solving meaningful problems, working alongside talented teammates, and contributing to important mission-focused work, we'd love to hear from you. We look forward to learning more about you! About G2 Ops, Inc. (G2 Ops) G2 Ops leverages over a decade of experience integrating Systems, Cybersecurity, and Software Engineering techniques to provide solutions to a growing list of Government and private customers. We combine cutting edge tools with innovative engineering practices, data analytics, and risk algorithms that enhance visibility into complex infrastructures, optimizing resiliency in system design and operations. G2 Ops is a woman-owned small business led by an executive staff known for providing innovative solutions to solve our nation's most complex engineering challenges. G2 Ops has been named to the Inc. 5000 list of America's fastest growing companies each of the last 9 years () and has locations in Arlington, VA, Virginia Beach, VA, and San Diego, CA. G2 Ops, Inc. is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, sexual orientation, gender identity), national origin, age, disability, genetic information, protected veteran status, or any other characteristic protected by applicable federal, state, or local law. G2 Ops, Inc. participates in the E-Verify program. Employment is contingent upon verification of identity and authorization to work in the United States. Applicants have rights under Federal Employment Laws: E-Verify Participation and Right to Work Notices:
NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It's a unique legacy of innovation that's fueled by great technology-and amazing people. Today, we're tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what's never been done before takes vision, innovation, and the world's best talent. As an NVIDIAN, you'll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world. At NVIDIA, as a Principal Rack Scale Systems Infrastructure Engineer, you will build and guide the development of software systems. These systems support our upcoming rack-scale infrastructure products and services. This exceptional role sits where software meets hardware. You will work on control planes, state machines, orchestration systems, firmware, OS lifecycle, and networking fabrics. Your task is to compose infrastructure-as-a-service control plane software that converts complex rack-scale hardware into dependable, manageable, and programmable infrastructure for NVIDIA, partners, and leading cloud and enterprise clients globally. What You Will Be Doing: Define the complete software architecture for rack-scale infrastructure products and services, covering control plane services, infrastructure management, firmware, operating systems, kernel drivers, networking fabrics, accelerator software, and user-mode manageability software. Use Kubernetes and cloud-native primitives as an infrastructure fabric when appropriate. This includes controllers, operators, reconciliation loops, and open source components. These components can operate safely at rack and fleet scale. Build open source infrastructure software that can be embraced in different forms, including libraries, services, controllers, operators, and integration APIs for internal deployments and CSP environments. Bridge hardware and software teams across firmware, BMC, BIOS, boot flows, OS images, drivers, networking, NVLink domains, InfiniBand, GPUs, DPUs, CPUs, and system management interfaces. Translate forward-looking infrastructure roadmaps into formal software requirements, architecture specifications, and execution plans that align teams across the organization. Partner directly with hyperscalers, CSPs, enterprise customers, internal component leads, vendors, and business partners to align infrastructure capabilities with real-world deployment and integration needs. Establish reliability, security, validation, and left-shift strategies that reduce risk before hardware reaches production environments. Mentor senior engineers and technical leads, raising the engineering bar for large-scale networked systems, foundational software, and rack-scale control plane development. Make high-quality technical decisions in ambiguous environments, balancing customer needs, schedule, hardware realities, software maintainability, open source adoption, and long-term infrastructure evolution. What We Need To See: BS or MS in Computer Engineering, Computer Science, Electrical Engineering, or a related field, or equivalent experience. Proven experience (15+ years) in systems architecture, system software, distributed systems, infrastructure control planes, or infrastructure engineering. Solid architectural knowledge of coordination frameworks, state machines, declarative APIs, reconciliation loops, lifecycle orchestration, failure handling, upgrade and rollback workflows, and distributed systems tradeoffs. Practical coding skills in Go, C++, or Rust, encompassing the capability to write, review, and direct production-quality infrastructure software. Experience with Rust is highly valued. Experience with Kubernetes or similar orchestration systems, especially as a fabric for managing infrastructure, hardware resources, or large-scale infrastructure services. Experience with Linux-based infrastructure software, OS rollout and image management, kernel or driver interactions, firmware lifecycle, and hardware bring-up workflows. Strong understanding of data center networking technologies and protocols, such as Ethernet, InfiniBand, RDMA, and fabric-level manageability. Experience with complex accelerator-based systems, including GPUs, DPUs, FPGAs, custom silicon, or other high-performance computing systems. Expertise in in-band and out-of-band management architectures, including BMCs, Redfish, IPMI, and related system management protocols. Ability to work with security experts to define practical tradeoffs across secure boot, attestation, access control, update safety, serviceability, and ease of operation. Experience crafting software intended for open source release, including API stability, modularity, documentation, community usability, and clean separation between shared software and deployment-specific integrations. Experience using AI-assisted development tools responsibly as an engineering multiplier for coding, test generation, debugging, build iteration, and documentation. Established skill in specifying requirements, guiding architecture, and managing delivery across various engineering teams and organizations. Strong written and verbal communication skills, enabling clear explanation of complex hardware/software tradeoffs to engineering leaders, customers, partners, and executives. Ways To Stand Out from the crowd: Built software supporting multiple adoption models - internal services, CSP-integrated offerings, reusable libraries, and customer-extensible APIs. Strong Rust skills in systems, infrastructure, or hardware-adjacent software. Multiplied team impact through reference implementations, design reviews, shared libraries, architecture docs, dev workflows, and AI-assisted engineering. Hands-on with fleet-scale provisioning, updates, rollback, observability, health, and remediation. Led across the full data center product lifecycle: inception, pre- and post-silicon, manufacturing, deployment, and operations. Familiar with open source ecosystems, contribution models, and balancing community collaboration with product needs. Deep experience with rack- or cluster-scale systems spanning compute, networking, storage, accelerators, firmware, and infra management as one operational domain. Skilled at finding simple, durable abstractions in complex systems to align teams, customers, and long-term direction. NVIDIA is widely considered to be one of the technology world's most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. If you're creative and autonomous, we want to hear from you! Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 272,000 USD - 431,250 USD. You will also be eligible for equity and benefits. Applications for this job will be accepted at least until September 28, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.
09/25/2026
Full time
NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It's a unique legacy of innovation that's fueled by great technology-and amazing people. Today, we're tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what's never been done before takes vision, innovation, and the world's best talent. As an NVIDIAN, you'll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world. At NVIDIA, as a Principal Rack Scale Systems Infrastructure Engineer, you will build and guide the development of software systems. These systems support our upcoming rack-scale infrastructure products and services. This exceptional role sits where software meets hardware. You will work on control planes, state machines, orchestration systems, firmware, OS lifecycle, and networking fabrics. Your task is to compose infrastructure-as-a-service control plane software that converts complex rack-scale hardware into dependable, manageable, and programmable infrastructure for NVIDIA, partners, and leading cloud and enterprise clients globally. What You Will Be Doing: Define the complete software architecture for rack-scale infrastructure products and services, covering control plane services, infrastructure management, firmware, operating systems, kernel drivers, networking fabrics, accelerator software, and user-mode manageability software. Use Kubernetes and cloud-native primitives as an infrastructure fabric when appropriate. This includes controllers, operators, reconciliation loops, and open source components. These components can operate safely at rack and fleet scale. Build open source infrastructure software that can be embraced in different forms, including libraries, services, controllers, operators, and integration APIs for internal deployments and CSP environments. Bridge hardware and software teams across firmware, BMC, BIOS, boot flows, OS images, drivers, networking, NVLink domains, InfiniBand, GPUs, DPUs, CPUs, and system management interfaces. Translate forward-looking infrastructure roadmaps into formal software requirements, architecture specifications, and execution plans that align teams across the organization. Partner directly with hyperscalers, CSPs, enterprise customers, internal component leads, vendors, and business partners to align infrastructure capabilities with real-world deployment and integration needs. Establish reliability, security, validation, and left-shift strategies that reduce risk before hardware reaches production environments. Mentor senior engineers and technical leads, raising the engineering bar for large-scale networked systems, foundational software, and rack-scale control plane development. Make high-quality technical decisions in ambiguous environments, balancing customer needs, schedule, hardware realities, software maintainability, open source adoption, and long-term infrastructure evolution. What We Need To See: BS or MS in Computer Engineering, Computer Science, Electrical Engineering, or a related field, or equivalent experience. Proven experience (15+ years) in systems architecture, system software, distributed systems, infrastructure control planes, or infrastructure engineering. Solid architectural knowledge of coordination frameworks, state machines, declarative APIs, reconciliation loops, lifecycle orchestration, failure handling, upgrade and rollback workflows, and distributed systems tradeoffs. Practical coding skills in Go, C++, or Rust, encompassing the capability to write, review, and direct production-quality infrastructure software. Experience with Rust is highly valued. Experience with Kubernetes or similar orchestration systems, especially as a fabric for managing infrastructure, hardware resources, or large-scale infrastructure services. Experience with Linux-based infrastructure software, OS rollout and image management, kernel or driver interactions, firmware lifecycle, and hardware bring-up workflows. Strong understanding of data center networking technologies and protocols, such as Ethernet, InfiniBand, RDMA, and fabric-level manageability. Experience with complex accelerator-based systems, including GPUs, DPUs, FPGAs, custom silicon, or other high-performance computing systems. Expertise in in-band and out-of-band management architectures, including BMCs, Redfish, IPMI, and related system management protocols. Ability to work with security experts to define practical tradeoffs across secure boot, attestation, access control, update safety, serviceability, and ease of operation. Experience crafting software intended for open source release, including API stability, modularity, documentation, community usability, and clean separation between shared software and deployment-specific integrations. Experience using AI-assisted development tools responsibly as an engineering multiplier for coding, test generation, debugging, build iteration, and documentation. Established skill in specifying requirements, guiding architecture, and managing delivery across various engineering teams and organizations. Strong written and verbal communication skills, enabling clear explanation of complex hardware/software tradeoffs to engineering leaders, customers, partners, and executives. Ways To Stand Out from the crowd: Built software supporting multiple adoption models - internal services, CSP-integrated offerings, reusable libraries, and customer-extensible APIs. Strong Rust skills in systems, infrastructure, or hardware-adjacent software. Multiplied team impact through reference implementations, design reviews, shared libraries, architecture docs, dev workflows, and AI-assisted engineering. Hands-on with fleet-scale provisioning, updates, rollback, observability, health, and remediation. Led across the full data center product lifecycle: inception, pre- and post-silicon, manufacturing, deployment, and operations. Familiar with open source ecosystems, contribution models, and balancing community collaboration with product needs. Deep experience with rack- or cluster-scale systems spanning compute, networking, storage, accelerators, firmware, and infra management as one operational domain. Skilled at finding simple, durable abstractions in complex systems to align teams, customers, and long-term direction. NVIDIA is widely considered to be one of the technology world's most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. If you're creative and autonomous, we want to hear from you! Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 272,000 USD - 431,250 USD. You will also be eligible for equity and benefits. Applications for this job will be accepted at least until September 28, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.
NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It's a unique legacy of innovation that's fueled by great technology-and amazing people. Today, we're tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what's never been done before takes vision, innovation, and the world's best talent. As an NVIDIAN, you'll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world. At NVIDIA, as a Principal Rack Scale Systems Infrastructure Engineer, you will build and guide the development of software systems. These systems support our upcoming rack-scale infrastructure products and services. This exceptional role sits where software meets hardware. You will work on control planes, state machines, orchestration systems, firmware, OS lifecycle, and networking fabrics. Your task is to compose infrastructure-as-a-service control plane software that converts complex rack-scale hardware into dependable, manageable, and programmable infrastructure for NVIDIA, partners, and leading cloud and enterprise clients globally. What You Will Be Doing: Define the complete software architecture for rack-scale infrastructure products and services, covering control plane services, infrastructure management, firmware, operating systems, kernel drivers, networking fabrics, accelerator software, and user-mode manageability software. Use Kubernetes and cloud-native primitives as an infrastructure fabric when appropriate. This includes controllers, operators, reconciliation loops, and open source components. These components can operate safely at rack and fleet scale. Build open source infrastructure software that can be embraced in different forms, including libraries, services, controllers, operators, and integration APIs for internal deployments and CSP environments. Bridge hardware and software teams across firmware, BMC, BIOS, boot flows, OS images, drivers, networking, NVLink domains, InfiniBand, GPUs, DPUs, CPUs, and system management interfaces. Translate forward-looking infrastructure roadmaps into formal software requirements, architecture specifications, and execution plans that align teams across the organization. Partner directly with hyperscalers, CSPs, enterprise customers, internal component leads, vendors, and business partners to align infrastructure capabilities with real-world deployment and integration needs. Establish reliability, security, validation, and left-shift strategies that reduce risk before hardware reaches production environments. Mentor senior engineers and technical leads, raising the engineering bar for large-scale networked systems, foundational software, and rack-scale control plane development. Make high-quality technical decisions in ambiguous environments, balancing customer needs, schedule, hardware realities, software maintainability, open source adoption, and long-term infrastructure evolution. What We Need To See: BS or MS in Computer Engineering, Computer Science, Electrical Engineering, or a related field, or equivalent experience. Proven experience (15+ years) in systems architecture, system software, distributed systems, infrastructure control planes, or infrastructure engineering. Solid architectural knowledge of coordination frameworks, state machines, declarative APIs, reconciliation loops, lifecycle orchestration, failure handling, upgrade and rollback workflows, and distributed systems tradeoffs. Practical coding skills in Go, C++, or Rust, encompassing the capability to write, review, and direct production-quality infrastructure software. Experience with Rust is highly valued. Experience with Kubernetes or similar orchestration systems, especially as a fabric for managing infrastructure, hardware resources, or large-scale infrastructure services. Experience with Linux-based infrastructure software, OS rollout and image management, kernel or driver interactions, firmware lifecycle, and hardware bring-up workflows. Strong understanding of data center networking technologies and protocols, such as Ethernet, InfiniBand, RDMA, and fabric-level manageability. Experience with complex accelerator-based systems, including GPUs, DPUs, FPGAs, custom silicon, or other high-performance computing systems. Expertise in in-band and out-of-band management architectures, including BMCs, Redfish, IPMI, and related system management protocols. Ability to work with security experts to define practical tradeoffs across secure boot, attestation, access control, update safety, serviceability, and ease of operation. Experience crafting software intended for open source release, including API stability, modularity, documentation, community usability, and clean separation between shared software and deployment-specific integrations. Experience using AI-assisted development tools responsibly as an engineering multiplier for coding, test generation, debugging, build iteration, and documentation. Established skill in specifying requirements, guiding architecture, and managing delivery across various engineering teams and organizations. Strong written and verbal communication skills, enabling clear explanation of complex hardware/software tradeoffs to engineering leaders, customers, partners, and executives. Ways To Stand Out from the crowd: Built software supporting multiple adoption models - internal services, CSP-integrated offerings, reusable libraries, and customer-extensible APIs. Strong Rust skills in systems, infrastructure, or hardware-adjacent software. Multiplied team impact through reference implementations, design reviews, shared libraries, architecture docs, dev workflows, and AI-assisted engineering. Hands-on with fleet-scale provisioning, updates, rollback, observability, health, and remediation. Led across the full data center product lifecycle: inception, pre- and post-silicon, manufacturing, deployment, and operations. Familiar with open source ecosystems, contribution models, and balancing community collaboration with product needs. Deep experience with rack- or cluster-scale systems spanning compute, networking, storage, accelerators, firmware, and infra management as one operational domain. Skilled at finding simple, durable abstractions in complex systems to align teams, customers, and long-term direction. NVIDIA is widely considered to be one of the technology world's most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. If you're creative and autonomous, we want to hear from you! Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 272,000 USD - 431,250 USD. You will also be eligible for equity and benefits. Applications for this job will be accepted at least until September 28, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.
09/25/2026
Full time
NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It's a unique legacy of innovation that's fueled by great technology-and amazing people. Today, we're tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what's never been done before takes vision, innovation, and the world's best talent. As an NVIDIAN, you'll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world. At NVIDIA, as a Principal Rack Scale Systems Infrastructure Engineer, you will build and guide the development of software systems. These systems support our upcoming rack-scale infrastructure products and services. This exceptional role sits where software meets hardware. You will work on control planes, state machines, orchestration systems, firmware, OS lifecycle, and networking fabrics. Your task is to compose infrastructure-as-a-service control plane software that converts complex rack-scale hardware into dependable, manageable, and programmable infrastructure for NVIDIA, partners, and leading cloud and enterprise clients globally. What You Will Be Doing: Define the complete software architecture for rack-scale infrastructure products and services, covering control plane services, infrastructure management, firmware, operating systems, kernel drivers, networking fabrics, accelerator software, and user-mode manageability software. Use Kubernetes and cloud-native primitives as an infrastructure fabric when appropriate. This includes controllers, operators, reconciliation loops, and open source components. These components can operate safely at rack and fleet scale. Build open source infrastructure software that can be embraced in different forms, including libraries, services, controllers, operators, and integration APIs for internal deployments and CSP environments. Bridge hardware and software teams across firmware, BMC, BIOS, boot flows, OS images, drivers, networking, NVLink domains, InfiniBand, GPUs, DPUs, CPUs, and system management interfaces. Translate forward-looking infrastructure roadmaps into formal software requirements, architecture specifications, and execution plans that align teams across the organization. Partner directly with hyperscalers, CSPs, enterprise customers, internal component leads, vendors, and business partners to align infrastructure capabilities with real-world deployment and integration needs. Establish reliability, security, validation, and left-shift strategies that reduce risk before hardware reaches production environments. Mentor senior engineers and technical leads, raising the engineering bar for large-scale networked systems, foundational software, and rack-scale control plane development. Make high-quality technical decisions in ambiguous environments, balancing customer needs, schedule, hardware realities, software maintainability, open source adoption, and long-term infrastructure evolution. What We Need To See: BS or MS in Computer Engineering, Computer Science, Electrical Engineering, or a related field, or equivalent experience. Proven experience (15+ years) in systems architecture, system software, distributed systems, infrastructure control planes, or infrastructure engineering. Solid architectural knowledge of coordination frameworks, state machines, declarative APIs, reconciliation loops, lifecycle orchestration, failure handling, upgrade and rollback workflows, and distributed systems tradeoffs. Practical coding skills in Go, C++, or Rust, encompassing the capability to write, review, and direct production-quality infrastructure software. Experience with Rust is highly valued. Experience with Kubernetes or similar orchestration systems, especially as a fabric for managing infrastructure, hardware resources, or large-scale infrastructure services. Experience with Linux-based infrastructure software, OS rollout and image management, kernel or driver interactions, firmware lifecycle, and hardware bring-up workflows. Strong understanding of data center networking technologies and protocols, such as Ethernet, InfiniBand, RDMA, and fabric-level manageability. Experience with complex accelerator-based systems, including GPUs, DPUs, FPGAs, custom silicon, or other high-performance computing systems. Expertise in in-band and out-of-band management architectures, including BMCs, Redfish, IPMI, and related system management protocols. Ability to work with security experts to define practical tradeoffs across secure boot, attestation, access control, update safety, serviceability, and ease of operation. Experience crafting software intended for open source release, including API stability, modularity, documentation, community usability, and clean separation between shared software and deployment-specific integrations. Experience using AI-assisted development tools responsibly as an engineering multiplier for coding, test generation, debugging, build iteration, and documentation. Established skill in specifying requirements, guiding architecture, and managing delivery across various engineering teams and organizations. Strong written and verbal communication skills, enabling clear explanation of complex hardware/software tradeoffs to engineering leaders, customers, partners, and executives. Ways To Stand Out from the crowd: Built software supporting multiple adoption models - internal services, CSP-integrated offerings, reusable libraries, and customer-extensible APIs. Strong Rust skills in systems, infrastructure, or hardware-adjacent software. Multiplied team impact through reference implementations, design reviews, shared libraries, architecture docs, dev workflows, and AI-assisted engineering. Hands-on with fleet-scale provisioning, updates, rollback, observability, health, and remediation. Led across the full data center product lifecycle: inception, pre- and post-silicon, manufacturing, deployment, and operations. Familiar with open source ecosystems, contribution models, and balancing community collaboration with product needs. Deep experience with rack- or cluster-scale systems spanning compute, networking, storage, accelerators, firmware, and infra management as one operational domain. Skilled at finding simple, durable abstractions in complex systems to align teams, customers, and long-term direction. NVIDIA is widely considered to be one of the technology world's most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. If you're creative and autonomous, we want to hear from you! Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 272,000 USD - 431,250 USD. You will also be eligible for equity and benefits. Applications for this job will be accepted at least until September 28, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.
Position Summary Samsung Ads focuses on enabling brands to connect with Samsung audiences across all devices. As an international company, Engineers at Samsung work on big complex projects with stakeholders and teams located around the globe. Our purpose is to deliver unparalleled results for our customers. Samsung Ads uniquely transforms the advertising landscape by using comprehensive data to build the world's most intelligent connected audience platform. We deliver on Samsung Electronics' 51-year commitment to excellence through smart, easy, effective advertising solutions to make advanced video advertising work. Role and Responsibilities What you will do As a Senior GenAI Engineer, you will be the hands-on driving force behind AI-powered productivity and automation across Samsung Ads. Reporting to the IT Director, you will work directly with non-technical teams across every department to identify, build, deploy, and scale Generative AI solutions that fundamentally improve how people work. You will partner closely with a dedicated Product Owner and the Principal Architect from Engineering to shape and execute our GenAI enablement roadmap. While Engineering builds core platform capabilities, your focus is on the last mile - putting powerful, safe, and practical AI tools directly into the hands of business users. A critical dimension of this role is designing and orchestrating agentic AI workflows - multi-step, autonomous processes where AI agents plan, reason, use tools, and execute complex tasks with minimal human intervention. As enterprises shift from simple prompt-based AI interactions toward agentic architectures, you will be responsible for identifying where autonomous AI workflows can replace manual, multi-step business processes - and building them safely within Samsung's governance framework. You are expected to be opinionated, delivery-oriented, and security-conscious in everything you do. Key Responsibilities Design, build, and deploy GenAI-powered automation and productivity solutions for business teams across Sales, Marketing, Finance, HR, Legal, and Operations. Architect and implement complex agentic workflows that enable AI agents to autonomously handle multi-step business processes - including task decomposition, tool orchestration, decision-making loops, and human-in-the-loop checkpoints where required. Design and maintain multi-agent orchestration patterns, where specialized AI agents collaborate on complex tasks such as document analysis, research synthesis, data transformation, and cross-system process automation. Serve as the primary hands-on technical resource for our AI tooling ecosystem, including AWS Bedrock, Claude, AnythingLLM, and our homegrown GenAI platform built on open-source tools. Identify high-impact use cases through direct engagement with business stakeholders, translating pain points into practical AI-driven workflows - with a specific focus on processes that benefit from autonomous, adaptive execution rather than simple prompt-response interactions. Build and maintain custom AI agents, prompt chains, RAG pipelines, and integrations tailored to departmental needs. Integrate agentic AI workflows with existing enterprise applications and business systems (e.g., CRM, HRIS, finance tools, collaboration platforms) to enable end-to-end process automation across departments. Define guardrails, escalation paths, and human oversight mechanisms for agentic workflows to ensure autonomous AI actions remain safe, auditable, and aligned with Samsung's internal policies. Develop evaluation frameworks for AI tools and agentic systems based on production requirements - including accuracy benchmarks, latency, cost-per-task, and compliance criteria - not vendor demos. Evaluate and recommend new AI tools and vendors in collaboration with the Architecture team, including hands-on proof-of-concepts to support build-vs-buy decisions. Ensure every AI solution deployed adheres to Samsung's internal security and privacy policies, including data classification requirements mandated by HQ (South Korea). Proactively assess data exposure risks of any AI tool or workflow before deployment and maintain a clear inventory of all AI tools, their data flows, and classification levels. Define and track KPIs for every AI initiative: workflows automated, hours saved, adoption rates, and user satisfaction. Develop training sessions, documentation, and self-service resources to accelerate AI adoption among non-technical users. (Nice-to-have) Required Skills And Experience 3+ years of hands-on experience with Generative AI tools and platforms, with a proven track record of delivering successful productivity or automation projects adopted by real users. 5+ years of experience in IT, automation, systems engineering, or a related technical role. Proven experience delivering at least one end-to-end production deployment of a GenAI or agentic AI system in an enterprise environment - not just prototypes or POCs, but solutions actively used by business teams. Strong hands-on proficiency with AWS Bedrock, Anthropic Claude (API, Claude Code, prompt engineering), and open-source AI tooling. Demonstrated experience designing agentic AI workflows - including multi-agent orchestration, tool-use patterns, autonomous task execution, and deterministic execution patterns suitable for enterprise environments. Experience with agentic AI frameworks and protocols such as Model Context Protocol (MCP), LangGraph, Claude Agent SDK, Amazon Bedrock Agents, CrewAI, or equivalent orchestration tools for building autonomous, multi-step AI workflows. Understanding of agentic design patterns: reflection, planning, tool use, multi-agent collaboration, human-in-the-loop checkpoints, and error recovery strategies. Working experience with RAG architectures, vector databases, embeddings, and self-hosted AI knowledge base platforms (e.g., AnythingLLM). Proficiency in Python for scripting, automation, and AI tool integration. Strong understanding of data classification frameworks, LLM-specific risks (data leakage, prompt injection, hallucination, unintended autonomous actions), and corporate security policies in a multinational enterprise environment. Experience working with non-technical stakeholders and translating business needs into technical solutions. A solution-oriented, opinionated approach - you have a clear point of view on what works, what scales, and what's hype. Highly organized and able to manage multiple priorities in a fast-paced environment. Strong communication skills and the ability to convey AI capabilities and limitations to any audience. Bachelor's degree in Computer Science, Information Technology, or related field (or equivalent practical experience). Skills and Qualifications Nice-to-Have Experience with Model Context Protocol (MCP) for building tool-integrated AI agents at scale. Experience integrating AI workflows with enterprise business systems (Salesforce, SAP, ServiceNow, Workday, or similar). Background in Ad Tech or experience working in a digital advertising environment. Familiarity with change management frameworks and delivering training/enablement programs at scale. Experience navigating multinational corporate governance structures (especially APAC-headquartered companies). Relevant certifications: AWS AI Practitioner, AWS ML Specialty, Anthropic Claude certification, or equivalent. Experience building or managing AI Centers of Excellence or similar enablement functions. Fluency in Korean. Why This Role Is Different Unlike GenAI roles buried inside engineering orgs building internal tooling, this position puts you at the center of a company-wide AI transformation. You will have direct visibility with business leadership, a mandate to move fast, and the autonomy to shape how an entire organization works with AI. You won't be optimizing model benchmarks - you'll be measured on business impact. Workflows automated. Hours saved. Teams empowered. Processes reinvented. If you've been looking for a role where Generative AI meets real-world business problems at scale, and where you have the freedom to be opinionated about how to solve them, this is it. If you're interested in joining a growing team building an outstanding, world-class advertising organization with a relentless focus on design and customer experience, you've come to the right place! Salary Range Pay Transparency: Compensation for this role, for candidates based in New York, NY is expected to be between Base range: $170,000 $210,000. Actual pay will be determined considering factors such as relevant skills and experience, and comparison to other employees in the role. Regular full-time employees (salaried or hourly) have access to benefits including: Medical, Dental, Vision, Life Insurance, 401(k), Employee Purchase Program, Tuition Assistance (after 6 months), Paid Time Off, Student Loan Program (after 6 months), Wellness Incentives, and many more. Please visit Samsung membership to see Privacy Policy, which defaults according to your location. You can change Country/Language at the bottom of the page. If you are European Economic Resident, please click here. At Samsung, we believe that innovation and growth are driven by an inclusive culture and a diverse workforce. We aim to create a global team where everyone belongs and has equal opportunities, inspiring our talent to be their true selves . click apply for full job details
09/25/2026
Full time
Position Summary Samsung Ads focuses on enabling brands to connect with Samsung audiences across all devices. As an international company, Engineers at Samsung work on big complex projects with stakeholders and teams located around the globe. Our purpose is to deliver unparalleled results for our customers. Samsung Ads uniquely transforms the advertising landscape by using comprehensive data to build the world's most intelligent connected audience platform. We deliver on Samsung Electronics' 51-year commitment to excellence through smart, easy, effective advertising solutions to make advanced video advertising work. Role and Responsibilities What you will do As a Senior GenAI Engineer, you will be the hands-on driving force behind AI-powered productivity and automation across Samsung Ads. Reporting to the IT Director, you will work directly with non-technical teams across every department to identify, build, deploy, and scale Generative AI solutions that fundamentally improve how people work. You will partner closely with a dedicated Product Owner and the Principal Architect from Engineering to shape and execute our GenAI enablement roadmap. While Engineering builds core platform capabilities, your focus is on the last mile - putting powerful, safe, and practical AI tools directly into the hands of business users. A critical dimension of this role is designing and orchestrating agentic AI workflows - multi-step, autonomous processes where AI agents plan, reason, use tools, and execute complex tasks with minimal human intervention. As enterprises shift from simple prompt-based AI interactions toward agentic architectures, you will be responsible for identifying where autonomous AI workflows can replace manual, multi-step business processes - and building them safely within Samsung's governance framework. You are expected to be opinionated, delivery-oriented, and security-conscious in everything you do. Key Responsibilities Design, build, and deploy GenAI-powered automation and productivity solutions for business teams across Sales, Marketing, Finance, HR, Legal, and Operations. Architect and implement complex agentic workflows that enable AI agents to autonomously handle multi-step business processes - including task decomposition, tool orchestration, decision-making loops, and human-in-the-loop checkpoints where required. Design and maintain multi-agent orchestration patterns, where specialized AI agents collaborate on complex tasks such as document analysis, research synthesis, data transformation, and cross-system process automation. Serve as the primary hands-on technical resource for our AI tooling ecosystem, including AWS Bedrock, Claude, AnythingLLM, and our homegrown GenAI platform built on open-source tools. Identify high-impact use cases through direct engagement with business stakeholders, translating pain points into practical AI-driven workflows - with a specific focus on processes that benefit from autonomous, adaptive execution rather than simple prompt-response interactions. Build and maintain custom AI agents, prompt chains, RAG pipelines, and integrations tailored to departmental needs. Integrate agentic AI workflows with existing enterprise applications and business systems (e.g., CRM, HRIS, finance tools, collaboration platforms) to enable end-to-end process automation across departments. Define guardrails, escalation paths, and human oversight mechanisms for agentic workflows to ensure autonomous AI actions remain safe, auditable, and aligned with Samsung's internal policies. Develop evaluation frameworks for AI tools and agentic systems based on production requirements - including accuracy benchmarks, latency, cost-per-task, and compliance criteria - not vendor demos. Evaluate and recommend new AI tools and vendors in collaboration with the Architecture team, including hands-on proof-of-concepts to support build-vs-buy decisions. Ensure every AI solution deployed adheres to Samsung's internal security and privacy policies, including data classification requirements mandated by HQ (South Korea). Proactively assess data exposure risks of any AI tool or workflow before deployment and maintain a clear inventory of all AI tools, their data flows, and classification levels. Define and track KPIs for every AI initiative: workflows automated, hours saved, adoption rates, and user satisfaction. Develop training sessions, documentation, and self-service resources to accelerate AI adoption among non-technical users. (Nice-to-have) Required Skills And Experience 3+ years of hands-on experience with Generative AI tools and platforms, with a proven track record of delivering successful productivity or automation projects adopted by real users. 5+ years of experience in IT, automation, systems engineering, or a related technical role. Proven experience delivering at least one end-to-end production deployment of a GenAI or agentic AI system in an enterprise environment - not just prototypes or POCs, but solutions actively used by business teams. Strong hands-on proficiency with AWS Bedrock, Anthropic Claude (API, Claude Code, prompt engineering), and open-source AI tooling. Demonstrated experience designing agentic AI workflows - including multi-agent orchestration, tool-use patterns, autonomous task execution, and deterministic execution patterns suitable for enterprise environments. Experience with agentic AI frameworks and protocols such as Model Context Protocol (MCP), LangGraph, Claude Agent SDK, Amazon Bedrock Agents, CrewAI, or equivalent orchestration tools for building autonomous, multi-step AI workflows. Understanding of agentic design patterns: reflection, planning, tool use, multi-agent collaboration, human-in-the-loop checkpoints, and error recovery strategies. Working experience with RAG architectures, vector databases, embeddings, and self-hosted AI knowledge base platforms (e.g., AnythingLLM). Proficiency in Python for scripting, automation, and AI tool integration. Strong understanding of data classification frameworks, LLM-specific risks (data leakage, prompt injection, hallucination, unintended autonomous actions), and corporate security policies in a multinational enterprise environment. Experience working with non-technical stakeholders and translating business needs into technical solutions. A solution-oriented, opinionated approach - you have a clear point of view on what works, what scales, and what's hype. Highly organized and able to manage multiple priorities in a fast-paced environment. Strong communication skills and the ability to convey AI capabilities and limitations to any audience. Bachelor's degree in Computer Science, Information Technology, or related field (or equivalent practical experience). Skills and Qualifications Nice-to-Have Experience with Model Context Protocol (MCP) for building tool-integrated AI agents at scale. Experience integrating AI workflows with enterprise business systems (Salesforce, SAP, ServiceNow, Workday, or similar). Background in Ad Tech or experience working in a digital advertising environment. Familiarity with change management frameworks and delivering training/enablement programs at scale. Experience navigating multinational corporate governance structures (especially APAC-headquartered companies). Relevant certifications: AWS AI Practitioner, AWS ML Specialty, Anthropic Claude certification, or equivalent. Experience building or managing AI Centers of Excellence or similar enablement functions. Fluency in Korean. Why This Role Is Different Unlike GenAI roles buried inside engineering orgs building internal tooling, this position puts you at the center of a company-wide AI transformation. You will have direct visibility with business leadership, a mandate to move fast, and the autonomy to shape how an entire organization works with AI. You won't be optimizing model benchmarks - you'll be measured on business impact. Workflows automated. Hours saved. Teams empowered. Processes reinvented. If you've been looking for a role where Generative AI meets real-world business problems at scale, and where you have the freedom to be opinionated about how to solve them, this is it. If you're interested in joining a growing team building an outstanding, world-class advertising organization with a relentless focus on design and customer experience, you've come to the right place! Salary Range Pay Transparency: Compensation for this role, for candidates based in New York, NY is expected to be between Base range: $170,000 $210,000. Actual pay will be determined considering factors such as relevant skills and experience, and comparison to other employees in the role. Regular full-time employees (salaried or hourly) have access to benefits including: Medical, Dental, Vision, Life Insurance, 401(k), Employee Purchase Program, Tuition Assistance (after 6 months), Paid Time Off, Student Loan Program (after 6 months), Wellness Incentives, and many more. Please visit Samsung membership to see Privacy Policy, which defaults according to your location. You can change Country/Language at the bottom of the page. If you are European Economic Resident, please click here. At Samsung, we believe that innovation and growth are driven by an inclusive culture and a diverse workforce. We aim to create a global team where everyone belongs and has equal opportunities, inspiring our talent to be their true selves . click apply for full job details
NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It's a unique legacy of innovation that's fueled by great technology-and amazing people. Today, we're tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what's never been done before takes vision, innovation, and the world's best talent. As an NVIDIAN, you'll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world. At NVIDIA, as a Principal Rack Scale Systems Infrastructure Engineer, you will build and guide the development of software systems. These systems support our upcoming rack-scale infrastructure products and services. This exceptional role sits where software meets hardware. You will work on control planes, state machines, orchestration systems, firmware, OS lifecycle, and networking fabrics. Your task is to compose infrastructure-as-a-service control plane software that converts complex rack-scale hardware into dependable, manageable, and programmable infrastructure for NVIDIA, partners, and leading cloud and enterprise clients globally. What You Will Be Doing: Define the complete software architecture for rack-scale infrastructure products and services, covering control plane services, infrastructure management, firmware, operating systems, kernel drivers, networking fabrics, accelerator software, and user-mode manageability software. Use Kubernetes and cloud-native primitives as an infrastructure fabric when appropriate. This includes controllers, operators, reconciliation loops, and open source components. These components can operate safely at rack and fleet scale. Build open source infrastructure software that can be embraced in different forms, including libraries, services, controllers, operators, and integration APIs for internal deployments and CSP environments. Bridge hardware and software teams across firmware, BMC, BIOS, boot flows, OS images, drivers, networking, NVLink domains, InfiniBand, GPUs, DPUs, CPUs, and system management interfaces. Translate forward-looking infrastructure roadmaps into formal software requirements, architecture specifications, and execution plans that align teams across the organization. Partner directly with hyperscalers, CSPs, enterprise customers, internal component leads, vendors, and business partners to align infrastructure capabilities with real-world deployment and integration needs. Establish reliability, security, validation, and left-shift strategies that reduce risk before hardware reaches production environments. Mentor senior engineers and technical leads, raising the engineering bar for large-scale networked systems, foundational software, and rack-scale control plane development. Make high-quality technical decisions in ambiguous environments, balancing customer needs, schedule, hardware realities, software maintainability, open source adoption, and long-term infrastructure evolution. What We Need To See: BS or MS in Computer Engineering, Computer Science, Electrical Engineering, or a related field, or equivalent experience. Proven experience (15+ years) in systems architecture, system software, distributed systems, infrastructure control planes, or infrastructure engineering. Solid architectural knowledge of coordination frameworks, state machines, declarative APIs, reconciliation loops, lifecycle orchestration, failure handling, upgrade and rollback workflows, and distributed systems tradeoffs. Practical coding skills in Go, C++, or Rust, encompassing the capability to write, review, and direct production-quality infrastructure software. Experience with Rust is highly valued. Experience with Kubernetes or similar orchestration systems, especially as a fabric for managing infrastructure, hardware resources, or large-scale infrastructure services. Experience with Linux-based infrastructure software, OS rollout and image management, kernel or driver interactions, firmware lifecycle, and hardware bring-up workflows. Strong understanding of data center networking technologies and protocols, such as Ethernet, InfiniBand, RDMA, and fabric-level manageability. Experience with complex accelerator-based systems, including GPUs, DPUs, FPGAs, custom silicon, or other high-performance computing systems. Expertise in in-band and out-of-band management architectures, including BMCs, Redfish, IPMI, and related system management protocols. Ability to work with security experts to define practical tradeoffs across secure boot, attestation, access control, update safety, serviceability, and ease of operation. Experience crafting software intended for open source release, including API stability, modularity, documentation, community usability, and clean separation between shared software and deployment-specific integrations. Experience using AI-assisted development tools responsibly as an engineering multiplier for coding, test generation, debugging, build iteration, and documentation. Established skill in specifying requirements, guiding architecture, and managing delivery across various engineering teams and organizations. Strong written and verbal communication skills, enabling clear explanation of complex hardware/software tradeoffs to engineering leaders, customers, partners, and executives. Ways To Stand Out from the crowd: Built software supporting multiple adoption models - internal services, CSP-integrated offerings, reusable libraries, and customer-extensible APIs. Strong Rust skills in systems, infrastructure, or hardware-adjacent software. Multiplied team impact through reference implementations, design reviews, shared libraries, architecture docs, dev workflows, and AI-assisted engineering. Hands-on with fleet-scale provisioning, updates, rollback, observability, health, and remediation. Led across the full data center product lifecycle: inception, pre- and post-silicon, manufacturing, deployment, and operations. Familiar with open source ecosystems, contribution models, and balancing community collaboration with product needs. Deep experience with rack- or cluster-scale systems spanning compute, networking, storage, accelerators, firmware, and infra management as one operational domain. Skilled at finding simple, durable abstractions in complex systems to align teams, customers, and long-term direction. NVIDIA is widely considered to be one of the technology world's most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. If you're creative and autonomous, we want to hear from you! Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 272,000 USD - 431,250 USD. You will also be eligible for equity and benefits. Applications for this job will be accepted at least until September 28, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.
09/25/2026
Full time
NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It's a unique legacy of innovation that's fueled by great technology-and amazing people. Today, we're tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what's never been done before takes vision, innovation, and the world's best talent. As an NVIDIAN, you'll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world. At NVIDIA, as a Principal Rack Scale Systems Infrastructure Engineer, you will build and guide the development of software systems. These systems support our upcoming rack-scale infrastructure products and services. This exceptional role sits where software meets hardware. You will work on control planes, state machines, orchestration systems, firmware, OS lifecycle, and networking fabrics. Your task is to compose infrastructure-as-a-service control plane software that converts complex rack-scale hardware into dependable, manageable, and programmable infrastructure for NVIDIA, partners, and leading cloud and enterprise clients globally. What You Will Be Doing: Define the complete software architecture for rack-scale infrastructure products and services, covering control plane services, infrastructure management, firmware, operating systems, kernel drivers, networking fabrics, accelerator software, and user-mode manageability software. Use Kubernetes and cloud-native primitives as an infrastructure fabric when appropriate. This includes controllers, operators, reconciliation loops, and open source components. These components can operate safely at rack and fleet scale. Build open source infrastructure software that can be embraced in different forms, including libraries, services, controllers, operators, and integration APIs for internal deployments and CSP environments. Bridge hardware and software teams across firmware, BMC, BIOS, boot flows, OS images, drivers, networking, NVLink domains, InfiniBand, GPUs, DPUs, CPUs, and system management interfaces. Translate forward-looking infrastructure roadmaps into formal software requirements, architecture specifications, and execution plans that align teams across the organization. Partner directly with hyperscalers, CSPs, enterprise customers, internal component leads, vendors, and business partners to align infrastructure capabilities with real-world deployment and integration needs. Establish reliability, security, validation, and left-shift strategies that reduce risk before hardware reaches production environments. Mentor senior engineers and technical leads, raising the engineering bar for large-scale networked systems, foundational software, and rack-scale control plane development. Make high-quality technical decisions in ambiguous environments, balancing customer needs, schedule, hardware realities, software maintainability, open source adoption, and long-term infrastructure evolution. What We Need To See: BS or MS in Computer Engineering, Computer Science, Electrical Engineering, or a related field, or equivalent experience. Proven experience (15+ years) in systems architecture, system software, distributed systems, infrastructure control planes, or infrastructure engineering. Solid architectural knowledge of coordination frameworks, state machines, declarative APIs, reconciliation loops, lifecycle orchestration, failure handling, upgrade and rollback workflows, and distributed systems tradeoffs. Practical coding skills in Go, C++, or Rust, encompassing the capability to write, review, and direct production-quality infrastructure software. Experience with Rust is highly valued. Experience with Kubernetes or similar orchestration systems, especially as a fabric for managing infrastructure, hardware resources, or large-scale infrastructure services. Experience with Linux-based infrastructure software, OS rollout and image management, kernel or driver interactions, firmware lifecycle, and hardware bring-up workflows. Strong understanding of data center networking technologies and protocols, such as Ethernet, InfiniBand, RDMA, and fabric-level manageability. Experience with complex accelerator-based systems, including GPUs, DPUs, FPGAs, custom silicon, or other high-performance computing systems. Expertise in in-band and out-of-band management architectures, including BMCs, Redfish, IPMI, and related system management protocols. Ability to work with security experts to define practical tradeoffs across secure boot, attestation, access control, update safety, serviceability, and ease of operation. Experience crafting software intended for open source release, including API stability, modularity, documentation, community usability, and clean separation between shared software and deployment-specific integrations. Experience using AI-assisted development tools responsibly as an engineering multiplier for coding, test generation, debugging, build iteration, and documentation. Established skill in specifying requirements, guiding architecture, and managing delivery across various engineering teams and organizations. Strong written and verbal communication skills, enabling clear explanation of complex hardware/software tradeoffs to engineering leaders, customers, partners, and executives. Ways To Stand Out from the crowd: Built software supporting multiple adoption models - internal services, CSP-integrated offerings, reusable libraries, and customer-extensible APIs. Strong Rust skills in systems, infrastructure, or hardware-adjacent software. Multiplied team impact through reference implementations, design reviews, shared libraries, architecture docs, dev workflows, and AI-assisted engineering. Hands-on with fleet-scale provisioning, updates, rollback, observability, health, and remediation. Led across the full data center product lifecycle: inception, pre- and post-silicon, manufacturing, deployment, and operations. Familiar with open source ecosystems, contribution models, and balancing community collaboration with product needs. Deep experience with rack- or cluster-scale systems spanning compute, networking, storage, accelerators, firmware, and infra management as one operational domain. Skilled at finding simple, durable abstractions in complex systems to align teams, customers, and long-term direction. NVIDIA is widely considered to be one of the technology world's most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. If you're creative and autonomous, we want to hear from you! Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 272,000 USD - 431,250 USD. You will also be eligible for equity and benefits. Applications for this job will be accepted at least until September 28, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.
NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It's a unique legacy of innovation that's fueled by great technology-and amazing people. Today, we're tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what's never been done before takes vision, innovation, and the world's best talent. As an NVIDIAN, you'll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world. At NVIDIA, as a Principal Rack Scale Systems Infrastructure Engineer, you will build and guide the development of software systems. These systems support our upcoming rack-scale infrastructure products and services. This exceptional role sits where software meets hardware. You will work on control planes, state machines, orchestration systems, firmware, OS lifecycle, and networking fabrics. Your task is to compose infrastructure-as-a-service control plane software that converts complex rack-scale hardware into dependable, manageable, and programmable infrastructure for NVIDIA, partners, and leading cloud and enterprise clients globally. What You Will Be Doing: Define the complete software architecture for rack-scale infrastructure products and services, covering control plane services, infrastructure management, firmware, operating systems, kernel drivers, networking fabrics, accelerator software, and user-mode manageability software. Use Kubernetes and cloud-native primitives as an infrastructure fabric when appropriate. This includes controllers, operators, reconciliation loops, and open source components. These components can operate safely at rack and fleet scale. Build open source infrastructure software that can be embraced in different forms, including libraries, services, controllers, operators, and integration APIs for internal deployments and CSP environments. Bridge hardware and software teams across firmware, BMC, BIOS, boot flows, OS images, drivers, networking, NVLink domains, InfiniBand, GPUs, DPUs, CPUs, and system management interfaces. Translate forward-looking infrastructure roadmaps into formal software requirements, architecture specifications, and execution plans that align teams across the organization. Partner directly with hyperscalers, CSPs, enterprise customers, internal component leads, vendors, and business partners to align infrastructure capabilities with real-world deployment and integration needs. Establish reliability, security, validation, and left-shift strategies that reduce risk before hardware reaches production environments. Mentor senior engineers and technical leads, raising the engineering bar for large-scale networked systems, foundational software, and rack-scale control plane development. Make high-quality technical decisions in ambiguous environments, balancing customer needs, schedule, hardware realities, software maintainability, open source adoption, and long-term infrastructure evolution. What We Need To See: BS or MS in Computer Engineering, Computer Science, Electrical Engineering, or a related field, or equivalent experience. Proven experience (15+ years) in systems architecture, system software, distributed systems, infrastructure control planes, or infrastructure engineering. Solid architectural knowledge of coordination frameworks, state machines, declarative APIs, reconciliation loops, lifecycle orchestration, failure handling, upgrade and rollback workflows, and distributed systems tradeoffs. Practical coding skills in Go, C++, or Rust, encompassing the capability to write, review, and direct production-quality infrastructure software. Experience with Rust is highly valued. Experience with Kubernetes or similar orchestration systems, especially as a fabric for managing infrastructure, hardware resources, or large-scale infrastructure services. Experience with Linux-based infrastructure software, OS rollout and image management, kernel or driver interactions, firmware lifecycle, and hardware bring-up workflows. Strong understanding of data center networking technologies and protocols, such as Ethernet, InfiniBand, RDMA, and fabric-level manageability. Experience with complex accelerator-based systems, including GPUs, DPUs, FPGAs, custom silicon, or other high-performance computing systems. Expertise in in-band and out-of-band management architectures, including BMCs, Redfish, IPMI, and related system management protocols. Ability to work with security experts to define practical tradeoffs across secure boot, attestation, access control, update safety, serviceability, and ease of operation. Experience crafting software intended for open source release, including API stability, modularity, documentation, community usability, and clean separation between shared software and deployment-specific integrations. Experience using AI-assisted development tools responsibly as an engineering multiplier for coding, test generation, debugging, build iteration, and documentation. Established skill in specifying requirements, guiding architecture, and managing delivery across various engineering teams and organizations. Strong written and verbal communication skills, enabling clear explanation of complex hardware/software tradeoffs to engineering leaders, customers, partners, and executives. Ways To Stand Out from the crowd: Built software supporting multiple adoption models - internal services, CSP-integrated offerings, reusable libraries, and customer-extensible APIs. Strong Rust skills in systems, infrastructure, or hardware-adjacent software. Multiplied team impact through reference implementations, design reviews, shared libraries, architecture docs, dev workflows, and AI-assisted engineering. Hands-on with fleet-scale provisioning, updates, rollback, observability, health, and remediation. Led across the full data center product lifecycle: inception, pre- and post-silicon, manufacturing, deployment, and operations. Familiar with open source ecosystems, contribution models, and balancing community collaboration with product needs. Deep experience with rack- or cluster-scale systems spanning compute, networking, storage, accelerators, firmware, and infra management as one operational domain. Skilled at finding simple, durable abstractions in complex systems to align teams, customers, and long-term direction. NVIDIA is widely considered to be one of the technology world's most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. If you're creative and autonomous, we want to hear from you! Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 272,000 USD - 431,250 USD. You will also be eligible for equity and benefits. Applications for this job will be accepted at least until September 28, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.
09/25/2026
Full time
NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It's a unique legacy of innovation that's fueled by great technology-and amazing people. Today, we're tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what's never been done before takes vision, innovation, and the world's best talent. As an NVIDIAN, you'll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world. At NVIDIA, as a Principal Rack Scale Systems Infrastructure Engineer, you will build and guide the development of software systems. These systems support our upcoming rack-scale infrastructure products and services. This exceptional role sits where software meets hardware. You will work on control planes, state machines, orchestration systems, firmware, OS lifecycle, and networking fabrics. Your task is to compose infrastructure-as-a-service control plane software that converts complex rack-scale hardware into dependable, manageable, and programmable infrastructure for NVIDIA, partners, and leading cloud and enterprise clients globally. What You Will Be Doing: Define the complete software architecture for rack-scale infrastructure products and services, covering control plane services, infrastructure management, firmware, operating systems, kernel drivers, networking fabrics, accelerator software, and user-mode manageability software. Use Kubernetes and cloud-native primitives as an infrastructure fabric when appropriate. This includes controllers, operators, reconciliation loops, and open source components. These components can operate safely at rack and fleet scale. Build open source infrastructure software that can be embraced in different forms, including libraries, services, controllers, operators, and integration APIs for internal deployments and CSP environments. Bridge hardware and software teams across firmware, BMC, BIOS, boot flows, OS images, drivers, networking, NVLink domains, InfiniBand, GPUs, DPUs, CPUs, and system management interfaces. Translate forward-looking infrastructure roadmaps into formal software requirements, architecture specifications, and execution plans that align teams across the organization. Partner directly with hyperscalers, CSPs, enterprise customers, internal component leads, vendors, and business partners to align infrastructure capabilities with real-world deployment and integration needs. Establish reliability, security, validation, and left-shift strategies that reduce risk before hardware reaches production environments. Mentor senior engineers and technical leads, raising the engineering bar for large-scale networked systems, foundational software, and rack-scale control plane development. Make high-quality technical decisions in ambiguous environments, balancing customer needs, schedule, hardware realities, software maintainability, open source adoption, and long-term infrastructure evolution. What We Need To See: BS or MS in Computer Engineering, Computer Science, Electrical Engineering, or a related field, or equivalent experience. Proven experience (15+ years) in systems architecture, system software, distributed systems, infrastructure control planes, or infrastructure engineering. Solid architectural knowledge of coordination frameworks, state machines, declarative APIs, reconciliation loops, lifecycle orchestration, failure handling, upgrade and rollback workflows, and distributed systems tradeoffs. Practical coding skills in Go, C++, or Rust, encompassing the capability to write, review, and direct production-quality infrastructure software. Experience with Rust is highly valued. Experience with Kubernetes or similar orchestration systems, especially as a fabric for managing infrastructure, hardware resources, or large-scale infrastructure services. Experience with Linux-based infrastructure software, OS rollout and image management, kernel or driver interactions, firmware lifecycle, and hardware bring-up workflows. Strong understanding of data center networking technologies and protocols, such as Ethernet, InfiniBand, RDMA, and fabric-level manageability. Experience with complex accelerator-based systems, including GPUs, DPUs, FPGAs, custom silicon, or other high-performance computing systems. Expertise in in-band and out-of-band management architectures, including BMCs, Redfish, IPMI, and related system management protocols. Ability to work with security experts to define practical tradeoffs across secure boot, attestation, access control, update safety, serviceability, and ease of operation. Experience crafting software intended for open source release, including API stability, modularity, documentation, community usability, and clean separation between shared software and deployment-specific integrations. Experience using AI-assisted development tools responsibly as an engineering multiplier for coding, test generation, debugging, build iteration, and documentation. Established skill in specifying requirements, guiding architecture, and managing delivery across various engineering teams and organizations. Strong written and verbal communication skills, enabling clear explanation of complex hardware/software tradeoffs to engineering leaders, customers, partners, and executives. Ways To Stand Out from the crowd: Built software supporting multiple adoption models - internal services, CSP-integrated offerings, reusable libraries, and customer-extensible APIs. Strong Rust skills in systems, infrastructure, or hardware-adjacent software. Multiplied team impact through reference implementations, design reviews, shared libraries, architecture docs, dev workflows, and AI-assisted engineering. Hands-on with fleet-scale provisioning, updates, rollback, observability, health, and remediation. Led across the full data center product lifecycle: inception, pre- and post-silicon, manufacturing, deployment, and operations. Familiar with open source ecosystems, contribution models, and balancing community collaboration with product needs. Deep experience with rack- or cluster-scale systems spanning compute, networking, storage, accelerators, firmware, and infra management as one operational domain. Skilled at finding simple, durable abstractions in complex systems to align teams, customers, and long-term direction. NVIDIA is widely considered to be one of the technology world's most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. If you're creative and autonomous, we want to hear from you! Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 272,000 USD - 431,250 USD. You will also be eligible for equity and benefits. Applications for this job will be accepted at least until September 28, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.
To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts. Job Category Software Engineering Job Details About Salesforce Salesforce is the AI CRM, where humans with agents drive customer success together. Here, ambition meets action. Tech meets trust. And innovation isn't a buzzword - it's a way of life. The world of work as we know it is changing and we're looking for Trailblazers who are passionate about bettering business and the world through AI, driving innovation, and keeping Salesforce's core values at the heart of it all. Ready to level-up your career at the company leading workforce transformation in the agentic era? You're in the right place! Agentforce is the future of AI, and you are the future of Salesforce. Note: By applying to the Senior / Lead Software Engineer - Full Stack posting, recruiters and hiring managers across the organization hiring software engineers will review your resume. Our goal is for you to apply once and have your resume reviewed by multiple hiring teams. IN SCHOOL OR GRADUATED WITHIN THE LAST 12 MONTHS? PLEASE VISIT FUTUREFORCE FOR OPPORTUNITIES About the Product Team As a Software Engineer on the Product Team, you'll turn ambiguous product problems into high-quality shipped software-partnering closely with product and design to define what we build, how we build it, and how we measure success. You'll work on the core workflows that matter most to customers, from the UI they touch every day to the backend services and data models that power them. You'll also help us translate emerging AI capabilities into practical, reliable product experiences. That means choosing the right techniques for the job, designing clear interfaces between AI components and the rest of the system, and ensuring the resulting features are observable, testable, and maintainable. If you enjoy moving from concept to implementation quickly-and iterating based on real usage-this role is built for that. What You'll Do Ship full-stack product features end-to-end across frontend, backend, and data Build AI-powered experiences using LLMs, embeddings, and related techniques where they create real user value Own delivery from scope/design through launch, monitoring, and iteration Solve ambiguous, technically challenging problems with pragmatic, scalable solutions Partner closely with product, design, and engineering to shape requirements and roadmap Improve performance, reliability, and overall product quality at enterprise scale Contribute to strong engineering culture through code review, tooling, and process improvements Who You Are Experience: 5+ years of experience in professional software development Proven experience shipping production full-stack web applications Hands-on experience applying AI/ML in product (LLMs, embeddings, or similar) Comfortable operating in ambiguity and driving work forward independently Product-minded: you care about UX and customer outcomes, not just implementation Strong communicator and collaborator across functions Ownership mindset and bias for action Experience with modern web frameworks (Rails/React/Postgres/AWS is a plus; adaptability matters most) Curious and continuously learning Nice to Have Experience with enterprise SaaS (especially B2B marketing or sales tech) Experience with real-time systems (chat, messaging, event-driven) Familiarity with Salesforce/CRM integrations Experience building agentic systems or autonomous tool-using workflows Startup experience and rapid shipping Why Us? Build real product with real impact: Ship customer-facing features that directly improve pipeline generation and the day-to-day workflows of go-to-market teams at major enterprises. Work across the full stack: Own meaningful slices of the product across frontend, backend, and data-optimizing for speed, quality, and maintainability. AI as a core product surface: Help turn new AI capabilities into dependable experiences that customers trust, with strong engineering around evaluation, observability, and iteration. High bar, low bureaucracy: Work with a team that values craft and decisive execution, where strong ideas win and shipping is the default. Room to grow: Take on larger technical and product scope over time-leading projects, influencing architecture, and leveling up quickly. Benefits & Perks Check out our benefits site which explains our various benefits, including wellbeing reimbursement, generous parental leave, adoption assistance, fertility benefits, and more. Salesforce Information Check out our Salesforce Engineering Site. Unleash Your Potential When you join Salesforce, you'll be limitless in all areas of your life. Our benefits and resources support you to find balance and be your best , and our AI agents accelerate your impact so you can do your best . Together, we'll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future - but to redefine what's possible - for yourself, for AI, and the world. Accommodations If you need a reasonable accommodation during the application or the recruiting process, please submit a request via this Accommodations Request Form. Please note that Salesforce uses artificial intelligence (AI) tools to help our recruiters assess and evaluate candidates' resumes and qualifications throughout the recruiting process. Humans will always make any candidate selection and hiring decisions. Please see our Candidate Privacy Statement for more information about how we use your personal data and your rights, including with regard to use of AI tools and opt out options. Posting Statement Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that's inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications - without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education. In the United States, compensation offered will be determined by factors such as location, job level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, and benefits. Salesforce offers a variety of benefits to help you live well including: time off programs, medical, dental, vision, mental health support, paid parental leave, life and disability insurance, 401(k), and an employee stock purchasing program. More details about company benefits can be found at the following link: to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Salesforce will consider for employment qualified applicants with arrest and conviction records.At Salesforce, we believe in equitable compensation practices that reflect the dynamic nature of labor markets across various regions. The typical base salary range for this position is $148,500 - $313,700 annually. In select cities within the San Francisco and New York City metropolitan area, the base salary range for this role is $178,900 - $344,700 annually. The range represents base salary only, and does not include company bonus, incentive for sales roles, equity or benefits, as applicable.
09/25/2026
Full time
To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts. Job Category Software Engineering Job Details About Salesforce Salesforce is the AI CRM, where humans with agents drive customer success together. Here, ambition meets action. Tech meets trust. And innovation isn't a buzzword - it's a way of life. The world of work as we know it is changing and we're looking for Trailblazers who are passionate about bettering business and the world through AI, driving innovation, and keeping Salesforce's core values at the heart of it all. Ready to level-up your career at the company leading workforce transformation in the agentic era? You're in the right place! Agentforce is the future of AI, and you are the future of Salesforce. Note: By applying to the Senior / Lead Software Engineer - Full Stack posting, recruiters and hiring managers across the organization hiring software engineers will review your resume. Our goal is for you to apply once and have your resume reviewed by multiple hiring teams. IN SCHOOL OR GRADUATED WITHIN THE LAST 12 MONTHS? PLEASE VISIT FUTUREFORCE FOR OPPORTUNITIES About the Product Team As a Software Engineer on the Product Team, you'll turn ambiguous product problems into high-quality shipped software-partnering closely with product and design to define what we build, how we build it, and how we measure success. You'll work on the core workflows that matter most to customers, from the UI they touch every day to the backend services and data models that power them. You'll also help us translate emerging AI capabilities into practical, reliable product experiences. That means choosing the right techniques for the job, designing clear interfaces between AI components and the rest of the system, and ensuring the resulting features are observable, testable, and maintainable. If you enjoy moving from concept to implementation quickly-and iterating based on real usage-this role is built for that. What You'll Do Ship full-stack product features end-to-end across frontend, backend, and data Build AI-powered experiences using LLMs, embeddings, and related techniques where they create real user value Own delivery from scope/design through launch, monitoring, and iteration Solve ambiguous, technically challenging problems with pragmatic, scalable solutions Partner closely with product, design, and engineering to shape requirements and roadmap Improve performance, reliability, and overall product quality at enterprise scale Contribute to strong engineering culture through code review, tooling, and process improvements Who You Are Experience: 5+ years of experience in professional software development Proven experience shipping production full-stack web applications Hands-on experience applying AI/ML in product (LLMs, embeddings, or similar) Comfortable operating in ambiguity and driving work forward independently Product-minded: you care about UX and customer outcomes, not just implementation Strong communicator and collaborator across functions Ownership mindset and bias for action Experience with modern web frameworks (Rails/React/Postgres/AWS is a plus; adaptability matters most) Curious and continuously learning Nice to Have Experience with enterprise SaaS (especially B2B marketing or sales tech) Experience with real-time systems (chat, messaging, event-driven) Familiarity with Salesforce/CRM integrations Experience building agentic systems or autonomous tool-using workflows Startup experience and rapid shipping Why Us? Build real product with real impact: Ship customer-facing features that directly improve pipeline generation and the day-to-day workflows of go-to-market teams at major enterprises. Work across the full stack: Own meaningful slices of the product across frontend, backend, and data-optimizing for speed, quality, and maintainability. AI as a core product surface: Help turn new AI capabilities into dependable experiences that customers trust, with strong engineering around evaluation, observability, and iteration. High bar, low bureaucracy: Work with a team that values craft and decisive execution, where strong ideas win and shipping is the default. Room to grow: Take on larger technical and product scope over time-leading projects, influencing architecture, and leveling up quickly. Benefits & Perks Check out our benefits site which explains our various benefits, including wellbeing reimbursement, generous parental leave, adoption assistance, fertility benefits, and more. Salesforce Information Check out our Salesforce Engineering Site. Unleash Your Potential When you join Salesforce, you'll be limitless in all areas of your life. Our benefits and resources support you to find balance and be your best , and our AI agents accelerate your impact so you can do your best . Together, we'll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future - but to redefine what's possible - for yourself, for AI, and the world. Accommodations If you need a reasonable accommodation during the application or the recruiting process, please submit a request via this Accommodations Request Form. Please note that Salesforce uses artificial intelligence (AI) tools to help our recruiters assess and evaluate candidates' resumes and qualifications throughout the recruiting process. Humans will always make any candidate selection and hiring decisions. Please see our Candidate Privacy Statement for more information about how we use your personal data and your rights, including with regard to use of AI tools and opt out options. Posting Statement Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that's inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications - without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education. In the United States, compensation offered will be determined by factors such as location, job level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, and benefits. Salesforce offers a variety of benefits to help you live well including: time off programs, medical, dental, vision, mental health support, paid parental leave, life and disability insurance, 401(k), and an employee stock purchasing program. More details about company benefits can be found at the following link: to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Salesforce will consider for employment qualified applicants with arrest and conviction records.At Salesforce, we believe in equitable compensation practices that reflect the dynamic nature of labor markets across various regions. The typical base salary range for this position is $148,500 - $313,700 annually. In select cities within the San Francisco and New York City metropolitan area, the base salary range for this role is $178,900 - $344,700 annually. The range represents base salary only, and does not include company bonus, incentive for sales roles, equity or benefits, as applicable.
To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts. Job Category Software Engineering Job Details About Salesforce Salesforce is the AI CRM, where humans with agents drive customer success together. Here, ambition meets action. Tech meets trust. And innovation isn't a buzzword - it's a way of life. The world of work as we know it is changing and we're looking for Trailblazers who are passionate about bettering business and the world through AI, driving innovation, and keeping Salesforce's core values at the heart of it all. Ready to level-up your career at the company leading workforce transformation in the agentic era? You're in the right place! Agentforce is the future of AI, and you are the future of Salesforce. Note: By applying to the Senior / Lead Software Engineer - Full Stack posting, recruiters and hiring managers across the organization hiring software engineers will review your resume. Our goal is for you to apply once and have your resume reviewed by multiple hiring teams. IN SCHOOL OR GRADUATED WITHIN THE LAST 12 MONTHS? PLEASE VISIT FUTUREFORCE FOR OPPORTUNITIES About the Product Team As a Software Engineer on the Product Team, you'll turn ambiguous product problems into high-quality shipped software-partnering closely with product and design to define what we build, how we build it, and how we measure success. You'll work on the core workflows that matter most to customers, from the UI they touch every day to the backend services and data models that power them. You'll also help us translate emerging AI capabilities into practical, reliable product experiences. That means choosing the right techniques for the job, designing clear interfaces between AI components and the rest of the system, and ensuring the resulting features are observable, testable, and maintainable. If you enjoy moving from concept to implementation quickly-and iterating based on real usage-this role is built for that. What You'll Do Ship full-stack product features end-to-end across frontend, backend, and data Build AI-powered experiences using LLMs, embeddings, and related techniques where they create real user value Own delivery from scope/design through launch, monitoring, and iteration Solve ambiguous, technically challenging problems with pragmatic, scalable solutions Partner closely with product, design, and engineering to shape requirements and roadmap Improve performance, reliability, and overall product quality at enterprise scale Contribute to strong engineering culture through code review, tooling, and process improvements Who You Are Experience: 5+ years of experience in professional software development Proven experience shipping production full-stack web applications Hands-on experience applying AI/ML in product (LLMs, embeddings, or similar) Comfortable operating in ambiguity and driving work forward independently Product-minded: you care about UX and customer outcomes, not just implementation Strong communicator and collaborator across functions Ownership mindset and bias for action Experience with modern web frameworks (Rails/React/Postgres/AWS is a plus; adaptability matters most) Curious and continuously learning Nice to Have Experience with enterprise SaaS (especially B2B marketing or sales tech) Experience with real-time systems (chat, messaging, event-driven) Familiarity with Salesforce/CRM integrations Experience building agentic systems or autonomous tool-using workflows Startup experience and rapid shipping Why Us? Build real product with real impact: Ship customer-facing features that directly improve pipeline generation and the day-to-day workflows of go-to-market teams at major enterprises. Work across the full stack: Own meaningful slices of the product across frontend, backend, and data-optimizing for speed, quality, and maintainability. AI as a core product surface: Help turn new AI capabilities into dependable experiences that customers trust, with strong engineering around evaluation, observability, and iteration. High bar, low bureaucracy: Work with a team that values craft and decisive execution, where strong ideas win and shipping is the default. Room to grow: Take on larger technical and product scope over time-leading projects, influencing architecture, and leveling up quickly. Benefits & Perks Check out our benefits site which explains our various benefits, including wellbeing reimbursement, generous parental leave, adoption assistance, fertility benefits, and more. Salesforce Information Check out our Salesforce Engineering Site. Unleash Your Potential When you join Salesforce, you'll be limitless in all areas of your life. Our benefits and resources support you to find balance and be your best , and our AI agents accelerate your impact so you can do your best . Together, we'll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future - but to redefine what's possible - for yourself, for AI, and the world. Accommodations If you need a reasonable accommodation during the application or the recruiting process, please submit a request via this Accommodations Request Form. Please note that Salesforce uses artificial intelligence (AI) tools to help our recruiters assess and evaluate candidates' resumes and qualifications throughout the recruiting process. Humans will always make any candidate selection and hiring decisions. Please see our Candidate Privacy Statement for more information about how we use your personal data and your rights, including with regard to use of AI tools and opt out options. Posting Statement Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that's inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications - without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education. In the United States, compensation offered will be determined by factors such as location, job level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, and benefits. Salesforce offers a variety of benefits to help you live well including: time off programs, medical, dental, vision, mental health support, paid parental leave, life and disability insurance, 401(k), and an employee stock purchasing program. More details about company benefits can be found at the following link: to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Salesforce will consider for employment qualified applicants with arrest and conviction records.At Salesforce, we believe in equitable compensation practices that reflect the dynamic nature of labor markets across various regions. The typical base salary range for this position is $148,500 - $313,700 annually. In select cities within the San Francisco and New York City metropolitan area, the base salary range for this role is $178,900 - $344,700 annually. The range represents base salary only, and does not include company bonus, incentive for sales roles, equity or benefits, as applicable.
09/25/2026
Full time
To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts. Job Category Software Engineering Job Details About Salesforce Salesforce is the AI CRM, where humans with agents drive customer success together. Here, ambition meets action. Tech meets trust. And innovation isn't a buzzword - it's a way of life. The world of work as we know it is changing and we're looking for Trailblazers who are passionate about bettering business and the world through AI, driving innovation, and keeping Salesforce's core values at the heart of it all. Ready to level-up your career at the company leading workforce transformation in the agentic era? You're in the right place! Agentforce is the future of AI, and you are the future of Salesforce. Note: By applying to the Senior / Lead Software Engineer - Full Stack posting, recruiters and hiring managers across the organization hiring software engineers will review your resume. Our goal is for you to apply once and have your resume reviewed by multiple hiring teams. IN SCHOOL OR GRADUATED WITHIN THE LAST 12 MONTHS? PLEASE VISIT FUTUREFORCE FOR OPPORTUNITIES About the Product Team As a Software Engineer on the Product Team, you'll turn ambiguous product problems into high-quality shipped software-partnering closely with product and design to define what we build, how we build it, and how we measure success. You'll work on the core workflows that matter most to customers, from the UI they touch every day to the backend services and data models that power them. You'll also help us translate emerging AI capabilities into practical, reliable product experiences. That means choosing the right techniques for the job, designing clear interfaces between AI components and the rest of the system, and ensuring the resulting features are observable, testable, and maintainable. If you enjoy moving from concept to implementation quickly-and iterating based on real usage-this role is built for that. What You'll Do Ship full-stack product features end-to-end across frontend, backend, and data Build AI-powered experiences using LLMs, embeddings, and related techniques where they create real user value Own delivery from scope/design through launch, monitoring, and iteration Solve ambiguous, technically challenging problems with pragmatic, scalable solutions Partner closely with product, design, and engineering to shape requirements and roadmap Improve performance, reliability, and overall product quality at enterprise scale Contribute to strong engineering culture through code review, tooling, and process improvements Who You Are Experience: 5+ years of experience in professional software development Proven experience shipping production full-stack web applications Hands-on experience applying AI/ML in product (LLMs, embeddings, or similar) Comfortable operating in ambiguity and driving work forward independently Product-minded: you care about UX and customer outcomes, not just implementation Strong communicator and collaborator across functions Ownership mindset and bias for action Experience with modern web frameworks (Rails/React/Postgres/AWS is a plus; adaptability matters most) Curious and continuously learning Nice to Have Experience with enterprise SaaS (especially B2B marketing or sales tech) Experience with real-time systems (chat, messaging, event-driven) Familiarity with Salesforce/CRM integrations Experience building agentic systems or autonomous tool-using workflows Startup experience and rapid shipping Why Us? Build real product with real impact: Ship customer-facing features that directly improve pipeline generation and the day-to-day workflows of go-to-market teams at major enterprises. Work across the full stack: Own meaningful slices of the product across frontend, backend, and data-optimizing for speed, quality, and maintainability. AI as a core product surface: Help turn new AI capabilities into dependable experiences that customers trust, with strong engineering around evaluation, observability, and iteration. High bar, low bureaucracy: Work with a team that values craft and decisive execution, where strong ideas win and shipping is the default. Room to grow: Take on larger technical and product scope over time-leading projects, influencing architecture, and leveling up quickly. Benefits & Perks Check out our benefits site which explains our various benefits, including wellbeing reimbursement, generous parental leave, adoption assistance, fertility benefits, and more. Salesforce Information Check out our Salesforce Engineering Site. Unleash Your Potential When you join Salesforce, you'll be limitless in all areas of your life. Our benefits and resources support you to find balance and be your best , and our AI agents accelerate your impact so you can do your best . Together, we'll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future - but to redefine what's possible - for yourself, for AI, and the world. Accommodations If you need a reasonable accommodation during the application or the recruiting process, please submit a request via this Accommodations Request Form. Please note that Salesforce uses artificial intelligence (AI) tools to help our recruiters assess and evaluate candidates' resumes and qualifications throughout the recruiting process. Humans will always make any candidate selection and hiring decisions. Please see our Candidate Privacy Statement for more information about how we use your personal data and your rights, including with regard to use of AI tools and opt out options. Posting Statement Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that's inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications - without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education. In the United States, compensation offered will be determined by factors such as location, job level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, and benefits. Salesforce offers a variety of benefits to help you live well including: time off programs, medical, dental, vision, mental health support, paid parental leave, life and disability insurance, 401(k), and an employee stock purchasing program. More details about company benefits can be found at the following link: to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Salesforce will consider for employment qualified applicants with arrest and conviction records.At Salesforce, we believe in equitable compensation practices that reflect the dynamic nature of labor markets across various regions. The typical base salary range for this position is $148,500 - $313,700 annually. In select cities within the San Francisco and New York City metropolitan area, the base salary range for this role is $178,900 - $344,700 annually. The range represents base salary only, and does not include company bonus, incentive for sales roles, equity or benefits, as applicable.
