Job Description Job Description Role Overview The Principal Data Engineer is a senior technical authority responsible for defining the organization's data architecture, setting long-term technical strategy, and solving the most complex data engineering challenges. This role influences company-wide data standards, mentors senior engineers, and partners with executive and cross-functional leaders to ensure data platforms scale with the business. Key Responsibilities Define and evolve the long-term data architecture and technical vision Design highly scalable, resilient data platforms and pipelines Set standards for data modeling, reliability, observability, and governance Lead complex, high-risk technical initiatives and migrations Serve as the escalation point for critical data incidents and root cause analysis Influence tool selection and technology adoption across the data stack Mentor Staff and Senior Data Engineers and elevate engineering excellence Partner with leadership to align data strategy with business goals Ensure data platforms support analytics, ML, and product use cases at scale Qualifications Bachelor's degree in Computer Science, Engineering, or related field (or equivalent experience) 10+ years of experience in data engineering or related disciplines Expert-level SQL and strong proficiency in Python or similar languages Deep experience with data warehousing, data lakes, and distributed systems Proven track record of designing and operating large-scale data platforms Strong systems thinking and architectural decision-making skills Preferred Experience Cloud platforms (AWS, Azure, or GCP) Streaming and real-time systems (Kafka, Spark, Flink, etc.) Advanced data governance, security, and compliance practices Supporting ML, AI, or product-led data platforms Influencing technical direction without direct managerial authority
09/25/2026
Full time
Job Description Job Description Role Overview The Principal Data Engineer is a senior technical authority responsible for defining the organization's data architecture, setting long-term technical strategy, and solving the most complex data engineering challenges. This role influences company-wide data standards, mentors senior engineers, and partners with executive and cross-functional leaders to ensure data platforms scale with the business. Key Responsibilities Define and evolve the long-term data architecture and technical vision Design highly scalable, resilient data platforms and pipelines Set standards for data modeling, reliability, observability, and governance Lead complex, high-risk technical initiatives and migrations Serve as the escalation point for critical data incidents and root cause analysis Influence tool selection and technology adoption across the data stack Mentor Staff and Senior Data Engineers and elevate engineering excellence Partner with leadership to align data strategy with business goals Ensure data platforms support analytics, ML, and product use cases at scale Qualifications Bachelor's degree in Computer Science, Engineering, or related field (or equivalent experience) 10+ years of experience in data engineering or related disciplines Expert-level SQL and strong proficiency in Python or similar languages Deep experience with data warehousing, data lakes, and distributed systems Proven track record of designing and operating large-scale data platforms Strong systems thinking and architectural decision-making skills Preferred Experience Cloud platforms (AWS, Azure, or GCP) Streaming and real-time systems (Kafka, Spark, Flink, etc.) Advanced data governance, security, and compliance practices Supporting ML, AI, or product-led data platforms Influencing technical direction without direct managerial authority
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.
We take play seriously. We're looking for curious adventurers ready to find their party, fueled by imagination and drive to build what's never been built before. At Hasbro and Wizards of the Coast, you'll collaborate with passionate teams to reimagine our iconic brands and create experiences that spark joy, connection, and community through the magic of play. This is your chance to shape legendary play that lasts a lifetime. At Hasbro, our mission is to entertain and connect generations of fans through the wonder of storytelling and exhilaration of play. We're looking for adventurous and curious people who want to explore, experiment, and innovate to come up with the best ideas. Our culture has inspired our diverse team of highly skilled, highly creative, and highly committed individuals for 100 years and we believe the best is yet to come. About the Role The Direct-to-Consumer platform at Hasbro connects fans worldwide through efficient digital commerce experiences. As Principal Software Engineer, you'll define the platform's technical architecture, spanning Salesforce Commerce Cloud, Salesforce OMS, SAP, Braintree, and Hasbro's identity systems, and direct how AI and automation get incorporated across the commerce lifecycle, from customer engagement to fulfillment. As a senior technical leader, you'll architect systems, support engineers, and guide teams across storefront, OMS, data, and fulfillment areas, so technology supports every fan interaction at scale. What You'll Do Architect the platform Define the architecture for Hasbro's global Salesforce-based commerce stack, integrating commerce, OMS, data, and fulfillment systems. Build integration frameworks connecting SAP, Braintree, Avalara, and other enterprise systems. Design event-driven architectures that support product drops, crowdfunding, digital items, and global fulfillment. Set data and AI-ready design standards so systems support real-time insights, personalization, and automation. Lead AI and automation projects Identify and implement AI/ML use cases across the platform: personalization, search, merchandising, customer support automation, fraud detection, and fulfillment prediction. Automate operational workflows to reduce manual work in order management, customer service, and fulfillment coordination. Partner with Data Science to move models from prototype to production within core platform experiences. Set standards for responsible AI adoption, including monitoring and ongoing model improvement. Raise the engineering bar Guide engineers across disciplines toward sound architecture decisions and strong technical craftsmanship. Define reliability goals, telemetry, and observability standards that hold up during major product launches. Champion infrastructure-as-code and continuous delivery across the DTC organization. Use automation to strengthen testing, alerting, and deployment - and to improve day-to-day developer efficiency. Mentor and collaborate across teams Mentor engineers and tech leads across front-end, OMS, data, and platform teams. Work closely with Product, Data Science, CX, and Design to connect technical decisions to business and fan outcomes. Bring technical mentorship to cross-functional projects to keep delivery quality consistent. Help teams build data-driven, automation-first habits into how they solve problems. Shape what's next Evaluate emerging technologies - composable architecture, event streaming, generative AI, predictive fulfillment - and bring the right ones into the platform. Lead technical design reviews and contribute to enterprise architecture decisions. Set the platform principles that guide Hasbro's DTC roadmap toward a more automated, data-driven commerce experience. What You'll Need Required: 8+ years of engineering experience in large-scale eCommerce or platform systems. Verified background building and connecting Salesforce Commerce Cloud, Salesforce OMS, and enterprise middleware. Hands-on experience with cloud infrastructure (AWS, GCP, or Azure), CI/CD, and infrastructure-as-code (Terraform). A track record of mentoring engineers and supporting their career growth. Strong communication skills, with the ability to explain technical concepts clearly to leadership. Preferred: Experience with SAP, Braintree, or complex order management systems. Experience integrating AI/ML or automation frameworks into production systems. Experience influencing senior collaborators and driving alignment across teams. We are an Equal Opportunity / Affirmative Action Employer Hasbro is committed to equality of opportunity in all aspects of employment. We are committed to making all employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, marital status, or any other legally protected status. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. If you have a disability and require assistance in this application process and need to request an accommodation, please contact your recruiter or coordinator. The pay transparency range for this role is listed below. The hiring range will vary based on factors such as experience, skills, location and market conditions. Additionally, employees may be eligible for annual and long-term incentives as part of their overall compensation package. Pay Range $172,600-$259,000 USD Employees may be eligible for annual and long-term incentives as part of their overall compensation package, depending on role, location, and eligibility. Benefits and programs may include: Health & Wellness Time Off to Recharge Financial Well-being Life & Family Support Volunteer and Community Initiatives Learning & Development Exclusive Perks Please review our Applicant Privacy Notice to learn how we collect, use, and protect your personal information in connection with the application process.
09/25/2026
Full time
We take play seriously. We're looking for curious adventurers ready to find their party, fueled by imagination and drive to build what's never been built before. At Hasbro and Wizards of the Coast, you'll collaborate with passionate teams to reimagine our iconic brands and create experiences that spark joy, connection, and community through the magic of play. This is your chance to shape legendary play that lasts a lifetime. At Hasbro, our mission is to entertain and connect generations of fans through the wonder of storytelling and exhilaration of play. We're looking for adventurous and curious people who want to explore, experiment, and innovate to come up with the best ideas. Our culture has inspired our diverse team of highly skilled, highly creative, and highly committed individuals for 100 years and we believe the best is yet to come. About the Role The Direct-to-Consumer platform at Hasbro connects fans worldwide through efficient digital commerce experiences. As Principal Software Engineer, you'll define the platform's technical architecture, spanning Salesforce Commerce Cloud, Salesforce OMS, SAP, Braintree, and Hasbro's identity systems, and direct how AI and automation get incorporated across the commerce lifecycle, from customer engagement to fulfillment. As a senior technical leader, you'll architect systems, support engineers, and guide teams across storefront, OMS, data, and fulfillment areas, so technology supports every fan interaction at scale. What You'll Do Architect the platform Define the architecture for Hasbro's global Salesforce-based commerce stack, integrating commerce, OMS, data, and fulfillment systems. Build integration frameworks connecting SAP, Braintree, Avalara, and other enterprise systems. Design event-driven architectures that support product drops, crowdfunding, digital items, and global fulfillment. Set data and AI-ready design standards so systems support real-time insights, personalization, and automation. Lead AI and automation projects Identify and implement AI/ML use cases across the platform: personalization, search, merchandising, customer support automation, fraud detection, and fulfillment prediction. Automate operational workflows to reduce manual work in order management, customer service, and fulfillment coordination. Partner with Data Science to move models from prototype to production within core platform experiences. Set standards for responsible AI adoption, including monitoring and ongoing model improvement. Raise the engineering bar Guide engineers across disciplines toward sound architecture decisions and strong technical craftsmanship. Define reliability goals, telemetry, and observability standards that hold up during major product launches. Champion infrastructure-as-code and continuous delivery across the DTC organization. Use automation to strengthen testing, alerting, and deployment - and to improve day-to-day developer efficiency. Mentor and collaborate across teams Mentor engineers and tech leads across front-end, OMS, data, and platform teams. Work closely with Product, Data Science, CX, and Design to connect technical decisions to business and fan outcomes. Bring technical mentorship to cross-functional projects to keep delivery quality consistent. Help teams build data-driven, automation-first habits into how they solve problems. Shape what's next Evaluate emerging technologies - composable architecture, event streaming, generative AI, predictive fulfillment - and bring the right ones into the platform. Lead technical design reviews and contribute to enterprise architecture decisions. Set the platform principles that guide Hasbro's DTC roadmap toward a more automated, data-driven commerce experience. What You'll Need Required: 8+ years of engineering experience in large-scale eCommerce or platform systems. Verified background building and connecting Salesforce Commerce Cloud, Salesforce OMS, and enterprise middleware. Hands-on experience with cloud infrastructure (AWS, GCP, or Azure), CI/CD, and infrastructure-as-code (Terraform). A track record of mentoring engineers and supporting their career growth. Strong communication skills, with the ability to explain technical concepts clearly to leadership. Preferred: Experience with SAP, Braintree, or complex order management systems. Experience integrating AI/ML or automation frameworks into production systems. Experience influencing senior collaborators and driving alignment across teams. We are an Equal Opportunity / Affirmative Action Employer Hasbro is committed to equality of opportunity in all aspects of employment. We are committed to making all employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, marital status, or any other legally protected status. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. If you have a disability and require assistance in this application process and need to request an accommodation, please contact your recruiter or coordinator. The pay transparency range for this role is listed below. The hiring range will vary based on factors such as experience, skills, location and market conditions. Additionally, employees may be eligible for annual and long-term incentives as part of their overall compensation package. Pay Range $172,600-$259,000 USD Employees may be eligible for annual and long-term incentives as part of their overall compensation package, depending on role, location, and eligibility. Benefits and programs may include: Health & Wellness Time Off to Recharge Financial Well-being Life & Family Support Volunteer and Community Initiatives Learning & Development Exclusive Perks Please review our Applicant Privacy Notice to learn how we collect, use, and protect your personal information in connection with the application process.
Every day, tens of millions of people come to Roblox to explore, create, play, learn, and connect with friends in 3D immersive digital experiences- all created by our global community of developers and creators. At Roblox, we're building the tools and platform that empower our community to bring any experience that they can imagine to life. Our vision is to reimagine the way people come together, from anywhere in the world, and on any device.We're on a mission to connect a billion people with optimism and civility, and looking for amazing talent to help us get there. A career at Roblox means you'll be working to shape the future of human interaction, solving unique technical challenges at scale, and helping to create safer, more civil shared experiences for everyone. As a Machine Learning Engineer on the Foundation AI organization, you will sit at the epicenter of our foundation model efforts. While the research world is focused on architecture, you will be the architect of the data flywheel that makes VideoGen and 3DGen possible. You aren't just building pipelines; you are building the infrastructure that defines how our models perceive and generate virtual worlds in three dimensions and across time. In this role, you will partner directly with our AI researchers to advance beyond experimental datasets and into the realm of dynamic, high-fidelity data synthesis and evaluation. You will bridge the gap between research prototypes working locally to scaling for millions of users. You will design, implement, and scale robust, high-performance infrastructure to crawl, create, curate, store, and serve the massive datasets required for these models. We are seeking accomplished software engineers with a passion for data, experience building large distributed systems, and a commitment to writing high-quality, well-tested code to solve complex data challenges at scale. Your contributions will ensure that our foundation models receive the highest quality data, thereby supporting the next generation of creative AI. You will: High-Scale Data Orchestration: Architect and maintain automated pipelines for the ingestion, cleaning, and pre-processing of multi-modal datasets (video, 3D,) spanning petabytes of data Synthetic Data Generation: Leverage image and video generation models to scale multi-modal synthetic datasets Research-to-Production Bridge: Partner with research teams to create training data for research experiments - research and implement synthetic data creation pipelines Scalable Evaluation Frameworks: Build and own evaluation-automating both heuristic-based metrics and human-in-the-loop interfaces to evaluate and benchmark training datasets and in-house foundation models Model Deployment & API Architecture: Design and optimize high-throughput, low-latency Inference APIs for internal and external consumer access Autonomous SOTA Tracking: Actively participate in literature reviews and paper reading groups to identify and implement the latest optimizations in generative modeling Resource Efficiency & Observability: Implement monitoring pipeline health, optimizing data loading to ensure GPUs are used efficiently You have: 8+ years of experience as a research-focused data systems engineer (preferably working with 3D and video foundation models) Expertise in building scalable ML data pipelines for both batch and real-time environments. Experience working with and processing very large datasets (Petabytes or more). Versatile: You're a generalist and you are comfortable with several languages and technologies already; you are adaptable in any situation Team-Player & Technical Leader: You are a collaborative team member who actively mentors peers, drives technical excellence, and takes ownership of leading and delivering key features and projects across team boundaries Python Proficiency: You can write high-quality Python code for automation, tooling, and infrastructure management Experience with cloud data platforms and distributed processing technologies (e.g., Spark, Ray, Kubeflow, S3, etc.). Are passionate about the potential of generative AI, particularly in creative domains like 3D/4D content. A Bachelor's degree or equivalent experience in Computer Science, Computer Engineering, or a similar technical field You are: MLOps Experience: Knowledge of experiment tracking (Weights & Biases, MLflow) and versioning for massive datasets. Custom Tooling Development: Experience building internal "human-in-the-loop" tools for data labeling specific to video or 3D. C++ Knowledge: Optimize the performance of data loaders and being comfortable modifying engine code. Game development and digital content creation tools : Experience with making Roblox games, using Blender, Unreal Engine, or Unity. For roles that are based at our headquarters in San Mateo, CA: The starting base pay for this position is as shown below. The actual base pay is dependent upon a variety of job-related factors such as professional background, training, work experience, location, business needs and market demand. Therefore, in some circumstances, the actual salary could fall outside of this expected range. This pay range is subject to change and may be modified in the future. All full-time employees are also eligible for equity compensation and for benefits as described on this page . Annual Salary Range $243,290-$295,250 USD Roles that are based in an office are onsite Tuesday, Wednesday, and Thursday, with optional presence on Monday and Friday (unless otherwise noted). Roblox provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Roblox also provides reasonable accommodations to candidates with qualifying disabilities or religious beliefs during the recruiting process. For US based roles only, please note the Company may not be able to employ candidates for this role who have United States work authorization related to certain U.S. visa categories, or support future H-1B sponsorship at this time.
09/25/2026
Full time
Every day, tens of millions of people come to Roblox to explore, create, play, learn, and connect with friends in 3D immersive digital experiences- all created by our global community of developers and creators. At Roblox, we're building the tools and platform that empower our community to bring any experience that they can imagine to life. Our vision is to reimagine the way people come together, from anywhere in the world, and on any device.We're on a mission to connect a billion people with optimism and civility, and looking for amazing talent to help us get there. A career at Roblox means you'll be working to shape the future of human interaction, solving unique technical challenges at scale, and helping to create safer, more civil shared experiences for everyone. As a Machine Learning Engineer on the Foundation AI organization, you will sit at the epicenter of our foundation model efforts. While the research world is focused on architecture, you will be the architect of the data flywheel that makes VideoGen and 3DGen possible. You aren't just building pipelines; you are building the infrastructure that defines how our models perceive and generate virtual worlds in three dimensions and across time. In this role, you will partner directly with our AI researchers to advance beyond experimental datasets and into the realm of dynamic, high-fidelity data synthesis and evaluation. You will bridge the gap between research prototypes working locally to scaling for millions of users. You will design, implement, and scale robust, high-performance infrastructure to crawl, create, curate, store, and serve the massive datasets required for these models. We are seeking accomplished software engineers with a passion for data, experience building large distributed systems, and a commitment to writing high-quality, well-tested code to solve complex data challenges at scale. Your contributions will ensure that our foundation models receive the highest quality data, thereby supporting the next generation of creative AI. You will: High-Scale Data Orchestration: Architect and maintain automated pipelines for the ingestion, cleaning, and pre-processing of multi-modal datasets (video, 3D,) spanning petabytes of data Synthetic Data Generation: Leverage image and video generation models to scale multi-modal synthetic datasets Research-to-Production Bridge: Partner with research teams to create training data for research experiments - research and implement synthetic data creation pipelines Scalable Evaluation Frameworks: Build and own evaluation-automating both heuristic-based metrics and human-in-the-loop interfaces to evaluate and benchmark training datasets and in-house foundation models Model Deployment & API Architecture: Design and optimize high-throughput, low-latency Inference APIs for internal and external consumer access Autonomous SOTA Tracking: Actively participate in literature reviews and paper reading groups to identify and implement the latest optimizations in generative modeling Resource Efficiency & Observability: Implement monitoring pipeline health, optimizing data loading to ensure GPUs are used efficiently You have: 8+ years of experience as a research-focused data systems engineer (preferably working with 3D and video foundation models) Expertise in building scalable ML data pipelines for both batch and real-time environments. Experience working with and processing very large datasets (Petabytes or more). Versatile: You're a generalist and you are comfortable with several languages and technologies already; you are adaptable in any situation Team-Player & Technical Leader: You are a collaborative team member who actively mentors peers, drives technical excellence, and takes ownership of leading and delivering key features and projects across team boundaries Python Proficiency: You can write high-quality Python code for automation, tooling, and infrastructure management Experience with cloud data platforms and distributed processing technologies (e.g., Spark, Ray, Kubeflow, S3, etc.). Are passionate about the potential of generative AI, particularly in creative domains like 3D/4D content. A Bachelor's degree or equivalent experience in Computer Science, Computer Engineering, or a similar technical field You are: MLOps Experience: Knowledge of experiment tracking (Weights & Biases, MLflow) and versioning for massive datasets. Custom Tooling Development: Experience building internal "human-in-the-loop" tools for data labeling specific to video or 3D. C++ Knowledge: Optimize the performance of data loaders and being comfortable modifying engine code. Game development and digital content creation tools : Experience with making Roblox games, using Blender, Unreal Engine, or Unity. For roles that are based at our headquarters in San Mateo, CA: The starting base pay for this position is as shown below. The actual base pay is dependent upon a variety of job-related factors such as professional background, training, work experience, location, business needs and market demand. Therefore, in some circumstances, the actual salary could fall outside of this expected range. This pay range is subject to change and may be modified in the future. All full-time employees are also eligible for equity compensation and for benefits as described on this page . Annual Salary Range $243,290-$295,250 USD Roles that are based in an office are onsite Tuesday, Wednesday, and Thursday, with optional presence on Monday and Friday (unless otherwise noted). Roblox provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Roblox also provides reasonable accommodations to candidates with qualifying disabilities or religious beliefs during the recruiting process. For US based roles only, please note the Company may not be able to employ candidates for this role who have United States work authorization related to certain U.S. visa categories, or support future H-1B sponsorship at this time.
Astera Labs (NASDAQ: ALAB) provides rack-scale AI infrastructure through purpose-built connectivity solutions. By collaborating with hyperscalers and ecosystem partners, Astera Labs enables organizations to unlock the full potential of modern AI. Astera Labs' Intelligent Connectivity Platform integrates CXL , Ethernet, NVLink, PCIe , and UALink semiconductor-based technologies with the company's COSMOS software suite to unify diverse components into cohesive, flexible systems that deliver end-to-end scale-up, and scale-out connectivity. The company's custom connectivity solutions business complements its standards-based portfolio, enabling customers to deploy tailored architectures to meet their unique infrastructure requirements. Discover more at . Job Summary We are seeking a highly technical and hands-on Senior Principal Photonics Test Engineer to serve as the technical authority for photonics test engineering across our product portfolio. This role will define end-to-end test architectures and drive advanced test development for silicon photonics devices, subsystems, and optical modules from early R&D through high-volume manufacturing. The ideal candidate brings deep expertise in silicon photonics test methodologies, strong system-level thinking, and a proven ability to solve complex yield and performance challenges while building scalable, automated test solutions. Key Responsibilities Define and own the end-to-end test architecture and test roadmap including wafer-level testing, package-level validation, optical engine and module characterization, as well as production and reliability testing. Lead the development of advanced wafer probe and package-level test solutions for silicon photonics devices and subsystems. Architect and implement automated test flows for engineering characterization, validation, and production. Design, develop, and implement optical test plans and procedures for co-packaged optics modules, including silicon photonics engines, laser sources, photodetectors, and optical fiber connectors. Debug and resolve yield issues and critical technical challenges, including electrical/optical performance failures, process & test induced variations. Develop and drive the hardware and software roadmap for next-generation optical test systems. Collaborate across cross-functional organizations such as silicon and photonics design teams, packaging, validation, reliability and qualification teams. Define and implement test and yield analytics frameworks to accelerate yield learning and root cause identification. Provide deep technical input in Design-for-Test (DfT) and product development reviews. Define test specifications, acceptance criteria, and pass/fail limits based on IEEE, OIF, and internal standards Required Qualifications MS or PhD in Electrical Engineering, Optics, Physics, Semiconductor Engineering, or a related field. 10+ years of experience in optical testing, photonic device characterization, or optical transceiver module test. Strong understanding of silicon photonics devices (modulators, photodetectors, multiplexers, grating couplers, edge couplers), optical probing and fiber coupling, Electro-Optical (EO) characterization, high-speed optical testing and BER measurement. Proven experience leading development of wafer-level and package-level optical test systems. Programming skills in Python, MATLAB, LabVIEW, or C/C++ for test automation Knowledge of optical communication standards (IEEE 802.3, OIF-CEI, CMIS) Familiarity with statistical analysis methods and data visualization tools. Strong experience debugging yield issues and complex system-level problems. Excellent collaboration and communication skills, with the ability to influence across engineering disciplines. Preferred Qualifications Experience specifically with co-packaged optics or on-board optics architectures. Knowledge of 2.5D/3D packaging technologies (interposers, chiplets, UCIe etc.). Experience with external laser source (ELS) integration and characterization. Experience with ATE platforms and custom photonics test setups. Experience in transitioning test processes from lab/prototype to high-volume manufacturing (HVM) Salary range is $185,000 to $240,000 depending on experience, level, and business need. This role may be eligible for discretionary bonus, incentives and benefits. We know that creativity and innovation happen more often when teams include diverse ideas, backgrounds, and experiences, and we actively encourage everyone with relevant experience to apply, including people of color, LGBTQ+ and non-binary people, veterans, parents, and individuals with disabilities.
09/25/2026
Full time
Astera Labs (NASDAQ: ALAB) provides rack-scale AI infrastructure through purpose-built connectivity solutions. By collaborating with hyperscalers and ecosystem partners, Astera Labs enables organizations to unlock the full potential of modern AI. Astera Labs' Intelligent Connectivity Platform integrates CXL , Ethernet, NVLink, PCIe , and UALink semiconductor-based technologies with the company's COSMOS software suite to unify diverse components into cohesive, flexible systems that deliver end-to-end scale-up, and scale-out connectivity. The company's custom connectivity solutions business complements its standards-based portfolio, enabling customers to deploy tailored architectures to meet their unique infrastructure requirements. Discover more at . Job Summary We are seeking a highly technical and hands-on Senior Principal Photonics Test Engineer to serve as the technical authority for photonics test engineering across our product portfolio. This role will define end-to-end test architectures and drive advanced test development for silicon photonics devices, subsystems, and optical modules from early R&D through high-volume manufacturing. The ideal candidate brings deep expertise in silicon photonics test methodologies, strong system-level thinking, and a proven ability to solve complex yield and performance challenges while building scalable, automated test solutions. Key Responsibilities Define and own the end-to-end test architecture and test roadmap including wafer-level testing, package-level validation, optical engine and module characterization, as well as production and reliability testing. Lead the development of advanced wafer probe and package-level test solutions for silicon photonics devices and subsystems. Architect and implement automated test flows for engineering characterization, validation, and production. Design, develop, and implement optical test plans and procedures for co-packaged optics modules, including silicon photonics engines, laser sources, photodetectors, and optical fiber connectors. Debug and resolve yield issues and critical technical challenges, including electrical/optical performance failures, process & test induced variations. Develop and drive the hardware and software roadmap for next-generation optical test systems. Collaborate across cross-functional organizations such as silicon and photonics design teams, packaging, validation, reliability and qualification teams. Define and implement test and yield analytics frameworks to accelerate yield learning and root cause identification. Provide deep technical input in Design-for-Test (DfT) and product development reviews. Define test specifications, acceptance criteria, and pass/fail limits based on IEEE, OIF, and internal standards Required Qualifications MS or PhD in Electrical Engineering, Optics, Physics, Semiconductor Engineering, or a related field. 10+ years of experience in optical testing, photonic device characterization, or optical transceiver module test. Strong understanding of silicon photonics devices (modulators, photodetectors, multiplexers, grating couplers, edge couplers), optical probing and fiber coupling, Electro-Optical (EO) characterization, high-speed optical testing and BER measurement. Proven experience leading development of wafer-level and package-level optical test systems. Programming skills in Python, MATLAB, LabVIEW, or C/C++ for test automation Knowledge of optical communication standards (IEEE 802.3, OIF-CEI, CMIS) Familiarity with statistical analysis methods and data visualization tools. Strong experience debugging yield issues and complex system-level problems. Excellent collaboration and communication skills, with the ability to influence across engineering disciplines. Preferred Qualifications Experience specifically with co-packaged optics or on-board optics architectures. Knowledge of 2.5D/3D packaging technologies (interposers, chiplets, UCIe etc.). Experience with external laser source (ELS) integration and characterization. Experience with ATE platforms and custom photonics test setups. Experience in transitioning test processes from lab/prototype to high-volume manufacturing (HVM) Salary range is $185,000 to $240,000 depending on experience, level, and business need. This role may be eligible for discretionary bonus, incentives and benefits. We know that creativity and innovation happen more often when teams include diverse ideas, backgrounds, and experiences, and we actively encourage everyone with relevant experience to apply, including people of color, LGBTQ+ and non-binary people, veterans, parents, and individuals with disabilities.
Who we are Neros is a defense technology company rebuilding America's drone industrial base. We design and manufacture high-performance unmanned systems that are tested in combat, iterated at startup speed, and built at massive scale. Our team culture is fast, hands-on, and obsessed with closing the gap between design and deployment. As drones transform the character of warfare, Neros is delivering the systems the West needs to compete on the modern battlefield and deter the adversaries of democracy. We're hiring engineers, operators, and builders who want to move fast, take on extreme ownership, and get capability into the hands of warfighters in months, not years. What you will be doing Own technical architecture for internal manufacturing systems, MES workflows, integrations, and enterprise system boundaries Design and build production software for factory execution, including work orders, routing, material issue/consume, completion, serialization, genealogy, rework, and exception handling Define system boundaries across ERP, MES, QMS, CRM, internal applications, integrations, and operational data services Establish engineering standards for APIs, data models, permissions, audibility, observability, testing, release management, and operational reliability Build integration patterns that are reliable, supportable, and resilient to future system changes Partner directly with factory, quality, supply chain, warehouse, finance, and business systems stakeholders to translate operational complexity into simple, usable software Mentor future engineering hires and help shape the technical culture of the Manufacturing Systems team You should have the following 8+ years of professional software engineering experience, including significant backend, platform, internal tools, systems, or infrastructure work Experience designing, building, and shipping production software in ambiguous or fast-changing environments Strong hands-on coding ability and recent experience contributing to production systems Experience designing APIs, data models, service boundaries, integration patterns, and reliable system-to-system workflows Strong judgment around build-vs-buy decisions, technical tradeoffs, and long-term system maintainability Experience working with cross-functional stakeholders outside engineering, including operations, manufacturing, warehouse, supply chain, quality, finance, or business systems teams Ability to reason about permissions, auditability, traceability, genealogy, data ownership, error handling, observability, and supportability Ability to operate as the first senior technical leader in a new function: hands-on, practical, and comfortable without a large team around them Strong communication skills, including the ability to explain technical decisions clearly to non-technical stakeholders Ability to work onsite with operational teams and support a fast-moving manufacturing environment Nice to have Experience with MES, manufacturing execution, shop-floor systems, QMS, WMS, ERP, CRM, or enterprise integrations Experience in hardware, aerospace, defense, robotics, drones, logistics, electronics, or high-volume manufacturing environments Experience with serialization, genealogy, traceability, routing, work orders, rework, material consumption, barcode scanning, or warehouse/manufacturing workflows Experience with workflow systems, audit trails, RBAC, event-driven systems, message queues, ETL/ELT, CDC, or integration platforms Experience building software in compliance-sensitive, audit-heavy, or regulated environments Experience leading or mentoring engineers without needing to move fully into people management US Salary Range $214,500-$300,000 USD The salary range for this role is an estimate based on a wide range of compensation factors, inclusive of base salary only. Actual salary may vary based on (but not limited to) work experience, education and/or training, critical skills, and/or business considerations. Highly competitive equity grants are considered part of Neros' total compensation package. We're an equal opportunity employer. We welcome all applicants without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.
09/25/2026
Full time
Who we are Neros is a defense technology company rebuilding America's drone industrial base. We design and manufacture high-performance unmanned systems that are tested in combat, iterated at startup speed, and built at massive scale. Our team culture is fast, hands-on, and obsessed with closing the gap between design and deployment. As drones transform the character of warfare, Neros is delivering the systems the West needs to compete on the modern battlefield and deter the adversaries of democracy. We're hiring engineers, operators, and builders who want to move fast, take on extreme ownership, and get capability into the hands of warfighters in months, not years. What you will be doing Own technical architecture for internal manufacturing systems, MES workflows, integrations, and enterprise system boundaries Design and build production software for factory execution, including work orders, routing, material issue/consume, completion, serialization, genealogy, rework, and exception handling Define system boundaries across ERP, MES, QMS, CRM, internal applications, integrations, and operational data services Establish engineering standards for APIs, data models, permissions, audibility, observability, testing, release management, and operational reliability Build integration patterns that are reliable, supportable, and resilient to future system changes Partner directly with factory, quality, supply chain, warehouse, finance, and business systems stakeholders to translate operational complexity into simple, usable software Mentor future engineering hires and help shape the technical culture of the Manufacturing Systems team You should have the following 8+ years of professional software engineering experience, including significant backend, platform, internal tools, systems, or infrastructure work Experience designing, building, and shipping production software in ambiguous or fast-changing environments Strong hands-on coding ability and recent experience contributing to production systems Experience designing APIs, data models, service boundaries, integration patterns, and reliable system-to-system workflows Strong judgment around build-vs-buy decisions, technical tradeoffs, and long-term system maintainability Experience working with cross-functional stakeholders outside engineering, including operations, manufacturing, warehouse, supply chain, quality, finance, or business systems teams Ability to reason about permissions, auditability, traceability, genealogy, data ownership, error handling, observability, and supportability Ability to operate as the first senior technical leader in a new function: hands-on, practical, and comfortable without a large team around them Strong communication skills, including the ability to explain technical decisions clearly to non-technical stakeholders Ability to work onsite with operational teams and support a fast-moving manufacturing environment Nice to have Experience with MES, manufacturing execution, shop-floor systems, QMS, WMS, ERP, CRM, or enterprise integrations Experience in hardware, aerospace, defense, robotics, drones, logistics, electronics, or high-volume manufacturing environments Experience with serialization, genealogy, traceability, routing, work orders, rework, material consumption, barcode scanning, or warehouse/manufacturing workflows Experience with workflow systems, audit trails, RBAC, event-driven systems, message queues, ETL/ELT, CDC, or integration platforms Experience building software in compliance-sensitive, audit-heavy, or regulated environments Experience leading or mentoring engineers without needing to move fully into people management US Salary Range $214,500-$300,000 USD The salary range for this role is an estimate based on a wide range of compensation factors, inclusive of base salary only. Actual salary may vary based on (but not limited to) work experience, education and/or training, critical skills, and/or business considerations. Highly competitive equity grants are considered part of Neros' total compensation package. We're an equal opportunity employer. We welcome all applicants without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.
We take play seriously. We're looking for curious adventurers ready to find their party, fueled by imagination and drive to build what's never been built before. At Hasbro and Wizards of the Coast, you'll collaborate with passionate teams to reimagine our iconic brands and create experiences that spark joy, connection, and community through the magic of play. This is your chance to shape legendary play that lasts a lifetime. Step Into the Multiverse: Your Next Adventure Starts Here At Wizards of the Coast , we harness the power of imagination and connection to create unforgettable experiences. We create entertainment that inspires creativity, sparks passion, forges friendships, and fosters communities around the globe. In every pursuit our mission is to inspire a lifetime love of games. Whether it's through the strategic depth of Magic: The Gathering , the rich storytelling of Dungeons & Dragons , or our AAA digital game studios, we build worlds that bring people together, spark creativity, and fuel adventure. As we continue to grow and explore new realms, we're seeking passionate, curious, and innovative minds to join the adventure. The Digital Innovations Team (DigIT) is changing how Wizards develops, delivers, and manages the digital systems behind our games - for players, retailers, and the studios that develop our worlds. We are seeking a Principal Software Engineer who can guide product ideas through every stage with agentic AI - from defining the problem with business partners, to developing the system, to deploying it in production, and then improving it based on actual data. This job is not for those who have only observed AI changes from a distance. We need a hands-on creator. Someone who has directly shipped product to production by agentic AI, can provide the code and performance assessments, and can discuss in detail what was successful, what did not succeed, and what they would do differently. If your AI experience is primarily slides and architectural drawings, this is not the right role. About the Role You will be responsible for the technical direction of an initiative and the related product surface area, direct tech direction and product direction with/without PM support. You are answerable for what the team delivers, how quickly it adapts, and the business outcomes that result. You will build products using agentic AI as your default development approach, leveraging the harness engineering and guardrails the team has developed. You contribute to evolving these patterns alongside peers, but your primary focus is shipping product. You understand where the technology performs well versus where it only demos effectively. You have informed opinions based on production experience about evaluations, guardrails, cost, latency, determinism, and the engineering methods needed to deliver AI products responsibly at scale. What You'll Do: Guide product concepts through the entire process with agentic AI. Starting from outlining the problem alongside product and business collaborators, moving to prototype development, to a data-informed launch, and then refining based on actual usage data. You are responsible for the full journey, not only a segment of it. Build, hands-on with agentic AI. Keep close to the code. Deliver production-quality agent systems, analyses, prompts, and supporting services on your own. Define the reference point through achievements, not words. Direct the build process through data-driven insights. Lead product ideas as testable hypotheses. Initiate tracking early and confirm success criteria with or with not the PM before beginning coding. Base decisions on actual data concerning what to prioritize, change, or remove. Ensure the feedback loop is as short as feasible. Contribute to the department's agentic AI harness engineering alongside peers. Apply, stress-test, and improve shared patterns - LLMs, agents, Skills, MCP, eval frameworks, guardrails - through real production use. Bring back what works and what doesn't from the field. Raise the engineering bar on architecture, code review, test strategy, observability, evals, and incident quality. Treat engineering excellence as a baseline expectation, not an optional initiative. Lead position, influence people and product decisions. Make your EM and PM more effective at their jobs. Contribute to the hiring bar. Lead technical interviews, calibrate the AI-capability signal in our hiring loop, and mentor the next layer of senior and staff engineers. What You'll Bring: Direct experience creating agentic AI systems. You have developed, deployed, and improved agentic systems in real-world settings, beyond demos or proofs of concept. You can describe the code you authored, the tests you designed, the prompt and tool usage changes you made, the cost and latency considerations you evaluated, the failure types you managed, and the metrics you used to choose the next release. Interviews will involve a hands-on agentic AI task. Over 10 years of full-stack software engineering experience. At least 3 years in a Tech Lead, Staff, or Principal role responsible for guiding the technical direction of a team or program. Product-engineer approach. You transform product ideas into operational, monitored, live software. You are comfortable prioritizing alongside PM or direct Product direction on your own, making product tradeoffs on the fly, and relying on metrics to guide iteration. You do not need a fully-detailed ticket to begin. Deep proficiency across the stack. Modern JavaScript / TypeScript and at least one of Go, Python, or C#. You write production code, not just review it. Strong systems and infrastructure foundation. AWS at scale, containerization, GitLab/GitHub CI/CD, PostgreSQL and data modeling, REST / gRPC / GraphQL API development, test automation, and a real point of view on observability and reliability. Architectural judgment. You can defend a build decision, change your mind when the evidence warrants it, and write the build doc that brings the rest of the team along. Business and product literacy. You can sit with a creative director, a retail partner, or a finance collaborator and have a conversation that is not purely technical. You can articulate business impact and tradeoffs without losing technical rigor. Outstanding communication and collaboration. You make engineers around you better. You raise standards without becoming a bottleneck. You handle disagreement directly and well. Bachelor's degree or equivalent experience. Computer Science, Information Technology, or comparable work experience. Nice to Have: Experience leading or contributing to platform / horizontal services (search, notifications, identity, eventing, workflow, data platforms) consumed by multiple product teams. Experience with Product Lifecycle Management (PLM). Experience with Kubernetes, Akamai, Terraform, or equivalent infrastructure-as-code tooling. Experience operating in a tri-lead (TL / EM / PM) or similar matrixed engineering model. Foundational knowledge of Magic: The Gathering, Dungeons & Dragons, or the tabletop gaming space. Compensation and benefits may vary based on location and role. At Wizards, we believe in the magic of diversity-great ideas come from unique perspectives. We are committed to building an inclusive, welcoming workplace where everyone belongs. Wizards is an equal opportunity employer and does not discriminate based on race, color, religion, sex, sexual orientation, gender identity, national origin, age, marital status, or any other legally protected status. Wizards will provide reasonable accommodation with the application process, upon your request, as required to comply with applicable laws. If you have a disability and require assistance in this application process, please contact your recruiter or coordinator. The pay transparency range for this role is listed below. The hiring range will vary based on factors such as experience, skills, location and market conditions. Additionally, employees may be eligible for annual and long-term incentives as part of their overall compensation package. Pay Range $172,600-$259,000 USD Employees may be eligible for annual and long-term incentives as part of their overall compensation package, depending on role, location, and eligibility. Benefits and programs may include: Health & Wellness Time Off to Recharge Financial Well-being Life & Family Support Volunteer and Community Initiatives Learning & Development Exclusive Perks Please review our Applicant Privacy Notice to learn how we collect, use, and protect your personal information in connection with the application process.
09/25/2026
Full time
We take play seriously. We're looking for curious adventurers ready to find their party, fueled by imagination and drive to build what's never been built before. At Hasbro and Wizards of the Coast, you'll collaborate with passionate teams to reimagine our iconic brands and create experiences that spark joy, connection, and community through the magic of play. This is your chance to shape legendary play that lasts a lifetime. Step Into the Multiverse: Your Next Adventure Starts Here At Wizards of the Coast , we harness the power of imagination and connection to create unforgettable experiences. We create entertainment that inspires creativity, sparks passion, forges friendships, and fosters communities around the globe. In every pursuit our mission is to inspire a lifetime love of games. Whether it's through the strategic depth of Magic: The Gathering , the rich storytelling of Dungeons & Dragons , or our AAA digital game studios, we build worlds that bring people together, spark creativity, and fuel adventure. As we continue to grow and explore new realms, we're seeking passionate, curious, and innovative minds to join the adventure. The Digital Innovations Team (DigIT) is changing how Wizards develops, delivers, and manages the digital systems behind our games - for players, retailers, and the studios that develop our worlds. We are seeking a Principal Software Engineer who can guide product ideas through every stage with agentic AI - from defining the problem with business partners, to developing the system, to deploying it in production, and then improving it based on actual data. This job is not for those who have only observed AI changes from a distance. We need a hands-on creator. Someone who has directly shipped product to production by agentic AI, can provide the code and performance assessments, and can discuss in detail what was successful, what did not succeed, and what they would do differently. If your AI experience is primarily slides and architectural drawings, this is not the right role. About the Role You will be responsible for the technical direction of an initiative and the related product surface area, direct tech direction and product direction with/without PM support. You are answerable for what the team delivers, how quickly it adapts, and the business outcomes that result. You will build products using agentic AI as your default development approach, leveraging the harness engineering and guardrails the team has developed. You contribute to evolving these patterns alongside peers, but your primary focus is shipping product. You understand where the technology performs well versus where it only demos effectively. You have informed opinions based on production experience about evaluations, guardrails, cost, latency, determinism, and the engineering methods needed to deliver AI products responsibly at scale. What You'll Do: Guide product concepts through the entire process with agentic AI. Starting from outlining the problem alongside product and business collaborators, moving to prototype development, to a data-informed launch, and then refining based on actual usage data. You are responsible for the full journey, not only a segment of it. Build, hands-on with agentic AI. Keep close to the code. Deliver production-quality agent systems, analyses, prompts, and supporting services on your own. Define the reference point through achievements, not words. Direct the build process through data-driven insights. Lead product ideas as testable hypotheses. Initiate tracking early and confirm success criteria with or with not the PM before beginning coding. Base decisions on actual data concerning what to prioritize, change, or remove. Ensure the feedback loop is as short as feasible. Contribute to the department's agentic AI harness engineering alongside peers. Apply, stress-test, and improve shared patterns - LLMs, agents, Skills, MCP, eval frameworks, guardrails - through real production use. Bring back what works and what doesn't from the field. Raise the engineering bar on architecture, code review, test strategy, observability, evals, and incident quality. Treat engineering excellence as a baseline expectation, not an optional initiative. Lead position, influence people and product decisions. Make your EM and PM more effective at their jobs. Contribute to the hiring bar. Lead technical interviews, calibrate the AI-capability signal in our hiring loop, and mentor the next layer of senior and staff engineers. What You'll Bring: Direct experience creating agentic AI systems. You have developed, deployed, and improved agentic systems in real-world settings, beyond demos or proofs of concept. You can describe the code you authored, the tests you designed, the prompt and tool usage changes you made, the cost and latency considerations you evaluated, the failure types you managed, and the metrics you used to choose the next release. Interviews will involve a hands-on agentic AI task. Over 10 years of full-stack software engineering experience. At least 3 years in a Tech Lead, Staff, or Principal role responsible for guiding the technical direction of a team or program. Product-engineer approach. You transform product ideas into operational, monitored, live software. You are comfortable prioritizing alongside PM or direct Product direction on your own, making product tradeoffs on the fly, and relying on metrics to guide iteration. You do not need a fully-detailed ticket to begin. Deep proficiency across the stack. Modern JavaScript / TypeScript and at least one of Go, Python, or C#. You write production code, not just review it. Strong systems and infrastructure foundation. AWS at scale, containerization, GitLab/GitHub CI/CD, PostgreSQL and data modeling, REST / gRPC / GraphQL API development, test automation, and a real point of view on observability and reliability. Architectural judgment. You can defend a build decision, change your mind when the evidence warrants it, and write the build doc that brings the rest of the team along. Business and product literacy. You can sit with a creative director, a retail partner, or a finance collaborator and have a conversation that is not purely technical. You can articulate business impact and tradeoffs without losing technical rigor. Outstanding communication and collaboration. You make engineers around you better. You raise standards without becoming a bottleneck. You handle disagreement directly and well. Bachelor's degree or equivalent experience. Computer Science, Information Technology, or comparable work experience. Nice to Have: Experience leading or contributing to platform / horizontal services (search, notifications, identity, eventing, workflow, data platforms) consumed by multiple product teams. Experience with Product Lifecycle Management (PLM). Experience with Kubernetes, Akamai, Terraform, or equivalent infrastructure-as-code tooling. Experience operating in a tri-lead (TL / EM / PM) or similar matrixed engineering model. Foundational knowledge of Magic: The Gathering, Dungeons & Dragons, or the tabletop gaming space. Compensation and benefits may vary based on location and role. At Wizards, we believe in the magic of diversity-great ideas come from unique perspectives. We are committed to building an inclusive, welcoming workplace where everyone belongs. Wizards is an equal opportunity employer and does not discriminate based on race, color, religion, sex, sexual orientation, gender identity, national origin, age, marital status, or any other legally protected status. Wizards will provide reasonable accommodation with the application process, upon your request, as required to comply with applicable laws. If you have a disability and require assistance in this application process, please contact your recruiter or coordinator. The pay transparency range for this role is listed below. The hiring range will vary based on factors such as experience, skills, location and market conditions. Additionally, employees may be eligible for annual and long-term incentives as part of their overall compensation package. Pay Range $172,600-$259,000 USD Employees may be eligible for annual and long-term incentives as part of their overall compensation package, depending on role, location, and eligibility. Benefits and programs may include: Health & Wellness Time Off to Recharge Financial Well-being Life & Family Support Volunteer and Community Initiatives Learning & Development Exclusive Perks Please review our Applicant Privacy Notice to learn how we collect, use, and protect your personal information in connection with the application process.
General Dynamics Information Technology
Washington, Washington DC
Type of Requisition: Regular Clearance Level Must Currently Possess: Top Secret Clearance Level Must Be Able to Obtain: Top Secret/SCI Public Trust/Other Required: None Job Family: IT Infrastructure and Operations Job Qualifications: Skills: Access Management, Complex Systems Design, Single Sign-On (SSO), Systems Design Certifications: None Experience: 10 + years of related experience US Citizenship Required: Yes Job Description: Advance how our customers operate while you advance your career. Join GDIT as an Identity and Access Management Senior Principal Engineer you will build an impactful career in enterprise IT, collaborating with people who are driven and resourceful like you. MEANINGFUL WORK AND PERSONAL IMPACT As an Identity and Access Management Senior Principal Engineer, the work you'll do at GDIT will be impactful to the customer's mission. You will play a crucial role in delivering advanced solutions and strategic insight to optimize the customers enterprise environment. Proven expertise in managing, maintaining, and monitoring IAM systems. Strong ability to troubleshoot and update IAM systems effectively. Proficient in using automation and orchestration for streamlined maintenance and monitoring of IAM systems. Investigate and respond proactively to security incidents related to identity and access management. Extensive experience with IAM systems across on-premise, hybrid, and cloud-based environments. Evaluate and recommend innovative IAM technologies and solutions. WHAT YOU'LL NEED TO SUCCEED: Bring your technology expertise and drive for innovation to GDIT. The Identity and Access Management Senior Principal Engineer must have: Bachelor's degree in computer science, Computer Engineering, Information Technology, or related field. Experience may be substituted for education. Minimum of 10 years of experience in identity and access management. Extensive knowledge of IAM technologies Strong understanding of security protocols and standards. Relevant certifications (e.g., Azure/AWS Administrator, Windows Server Hybrid Administrator, MCSE). REQUIRED Clearance Level Must Currently Possess: Top Secret and SCI eligible Location: Onsite Required: DoD 8140 IAT II compliant GDIT IS YOUR PLACE At GDIT, the mission is our purpose, and our people are at the center of everything we do. Growth: AI-powered career tool that identifies career steps and learning opportunities Support: An internal mobility team focused on helping you achieve your career goals Rewards: Comprehensive benefits and wellness packages, 401K with company match, competitive pay and paid time off Flexibility: Full-flex work week to own your priorities at Community: Award-winning culture of innovation and a military-friendly workplace OWN YOUR OPPORTUNITY Explore an enterprise IT career at GDIT and you'll find endless opportunities to grow alongside colleagues who share your desire to drive operations forward. The likely salary range for this position is $164,382 - $172,500. This is not, however, a guarantee of compensation or salary. Rather, salary will be set based on experience, geographic location and possibly contractual requirements and could fall outside of this range. Scheduled Weekly Hours: 40 Travel Required: Less than 10% Telecommuting Options: Onsite Work Location: USA DC Washington Additional Work Locations: Total Rewards at GDIT: Our benefits package for all US-based employees includes a variety of medical plan options, some with Health Savings Accounts, dental plan options, a vision plan, and a 401(k) plan offering the ability to contribute both pre and post-tax dollars up to the IRS annual limits and receive a company match. To encourage work/life balance, GDIT offers employees full flex work weeks where possible and a variety of paid time off plans, including vacation, sick and personal time, holidays, paid parental, military, bereavement and jury duty leave. To ensure our employees are able to protect their income, other offerings such as short and long-term disability benefits, life, accidental death and dismemberment, personal accident, critical illness and business travel and accident insurance are provided or available. We regularly review our Total Rewards package to ensure our offerings are competitive and reflect what our employees have told us they value most. Our Identity Verification Process: As part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during virtual interviews. We reserve the right to take your picture to verify your identity and prevent fraud. By proceeding, you authorize the collection, processing, and use of your biometric data for identity verification and security purposes. About Our Work: We are GDIT. A global technology and professional services company that delivers technology solutions and mission services to every major agency across the U.S. government, defense and intelligence community. Our 26,000 experts extract the power of technology to create immediate value and deliver solutions at the edge of innovation. We operate across 50+ countries worldwide, offering leading mission-ready capabilities in AI, cloud, cyber and software development.Join our Talent Community to stay up to date on our career opportunities and events at Equal Opportunity Employer / Individuals with Disabilities / Protected Veterans
09/25/2026
Full time
Type of Requisition: Regular Clearance Level Must Currently Possess: Top Secret Clearance Level Must Be Able to Obtain: Top Secret/SCI Public Trust/Other Required: None Job Family: IT Infrastructure and Operations Job Qualifications: Skills: Access Management, Complex Systems Design, Single Sign-On (SSO), Systems Design Certifications: None Experience: 10 + years of related experience US Citizenship Required: Yes Job Description: Advance how our customers operate while you advance your career. Join GDIT as an Identity and Access Management Senior Principal Engineer you will build an impactful career in enterprise IT, collaborating with people who are driven and resourceful like you. MEANINGFUL WORK AND PERSONAL IMPACT As an Identity and Access Management Senior Principal Engineer, the work you'll do at GDIT will be impactful to the customer's mission. You will play a crucial role in delivering advanced solutions and strategic insight to optimize the customers enterprise environment. Proven expertise in managing, maintaining, and monitoring IAM systems. Strong ability to troubleshoot and update IAM systems effectively. Proficient in using automation and orchestration for streamlined maintenance and monitoring of IAM systems. Investigate and respond proactively to security incidents related to identity and access management. Extensive experience with IAM systems across on-premise, hybrid, and cloud-based environments. Evaluate and recommend innovative IAM technologies and solutions. WHAT YOU'LL NEED TO SUCCEED: Bring your technology expertise and drive for innovation to GDIT. The Identity and Access Management Senior Principal Engineer must have: Bachelor's degree in computer science, Computer Engineering, Information Technology, or related field. Experience may be substituted for education. Minimum of 10 years of experience in identity and access management. Extensive knowledge of IAM technologies Strong understanding of security protocols and standards. Relevant certifications (e.g., Azure/AWS Administrator, Windows Server Hybrid Administrator, MCSE). REQUIRED Clearance Level Must Currently Possess: Top Secret and SCI eligible Location: Onsite Required: DoD 8140 IAT II compliant GDIT IS YOUR PLACE At GDIT, the mission is our purpose, and our people are at the center of everything we do. Growth: AI-powered career tool that identifies career steps and learning opportunities Support: An internal mobility team focused on helping you achieve your career goals Rewards: Comprehensive benefits and wellness packages, 401K with company match, competitive pay and paid time off Flexibility: Full-flex work week to own your priorities at Community: Award-winning culture of innovation and a military-friendly workplace OWN YOUR OPPORTUNITY Explore an enterprise IT career at GDIT and you'll find endless opportunities to grow alongside colleagues who share your desire to drive operations forward. The likely salary range for this position is $164,382 - $172,500. This is not, however, a guarantee of compensation or salary. Rather, salary will be set based on experience, geographic location and possibly contractual requirements and could fall outside of this range. Scheduled Weekly Hours: 40 Travel Required: Less than 10% Telecommuting Options: Onsite Work Location: USA DC Washington Additional Work Locations: Total Rewards at GDIT: Our benefits package for all US-based employees includes a variety of medical plan options, some with Health Savings Accounts, dental plan options, a vision plan, and a 401(k) plan offering the ability to contribute both pre and post-tax dollars up to the IRS annual limits and receive a company match. To encourage work/life balance, GDIT offers employees full flex work weeks where possible and a variety of paid time off plans, including vacation, sick and personal time, holidays, paid parental, military, bereavement and jury duty leave. To ensure our employees are able to protect their income, other offerings such as short and long-term disability benefits, life, accidental death and dismemberment, personal accident, critical illness and business travel and accident insurance are provided or available. We regularly review our Total Rewards package to ensure our offerings are competitive and reflect what our employees have told us they value most. Our Identity Verification Process: As part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during virtual interviews. We reserve the right to take your picture to verify your identity and prevent fraud. By proceeding, you authorize the collection, processing, and use of your biometric data for identity verification and security purposes. About Our Work: We are GDIT. A global technology and professional services company that delivers technology solutions and mission services to every major agency across the U.S. government, defense and intelligence community. Our 26,000 experts extract the power of technology to create immediate value and deliver solutions at the edge of innovation. We operate across 50+ countries worldwide, offering leading mission-ready capabilities in AI, cloud, cyber and software development.Join our Talent Community to stay up to date on our career opportunities and events at Equal Opportunity Employer / Individuals with Disabilities / Protected Veterans
American Honda Motor Co., Inc.
Torrance, California
What Makes a Honda, is Who makes a Honda Honda has a clear vision for the future, and it's a joyful one. We are looking for individuals with the skills, courage, persistence, and dreams that will help us reach our future-focused goals. At our core is innovation. Honda is constantly innovating and developing solutions to drive our business with record success. We strive to be a company that serves as a source of "power" that supports people around the world who are trying to do things based on their own initiative and that helps people expand their own potential. To this end, Honda strives to realize "the joy and freedom of mobility" by developing new technologies and an innovative approach to achieve a "zero environmental footprint." We are looking for qualified individuals with diverse backgrounds, experiences, continuous improvement values, and a strong work ethic to join our team. If your goals and values align with Honda's, we want you to join our team to Bring the Future! Job Purpose Developing and executing Software-Defined Vehicle (SDV) product strategy in a rapidly evolving automotive and technology landscape requires a highly capable, knowledgeable, and engaged team. The Software-Defined Vehicle Product Planning (SDVPP) Department is responsible for defining and driving Honda's North American SDV product strategy. The team translates customer needs and business objectives into product vision, portfolio investments, and strategic partnerships that enable Honda to deliver proven customer value faster, improve competitiveness, and drive sustainable business growth. We are looking for a passionate and experienced Infotainment Principal Product Planner to lead the strategic direction of Honda's in-vehicle digital experiences. This role requires a broad understanding of infotainment systems, digital services, customer trends, business strategy, and emerging technologies. As the business and product planning lead, you will be responsible for defining product vision, developing business strategies, and driving product planning for infotainment platforms, audio, AI assistants, connected services, and future digital experiences. You will leverage the customer's voice, business acumen, and technical understanding to collaborate effectively with internal stakeholders, engineering teams, and external partners Key Accountabilities • Lead cross-functional planning activities to convert product strategies into executable implementation roadmaps. • Drive alignment among business, engineering, design, operations, and partner organizations to enable efficient product delivery. • Establish product requirements, launch strategies, and lifecycle plans that support successful deployment across Honda vehicle programs. • Facilitate timely decision-making by balancing customer expectations, technical feasibility, program timing, and business objectives. Market Intelligence & Customer Insight • Conduct ongoing analysis of customer trends, competitive offerings, emerging technologies, and industry developments related to infotainment and digital vehicle experiences. • Identify opportunities to improve customer satisfaction, market competitiveness, and long-term product adoption. • Provide data-driven insights and strategic guidance to leadership and stakeholders. • Advocate for the voice of the customer throughout product planning and portfolio prioritization activities Qualifications, Experience, and Skills • Bachelor's degree in Business Administration, Marketing, Economics, Engineering, Computer Science, Human-Computer Interaction, or a related field, or equivalent relevant work experience. • MBA or other relevant advanced degree preferred. • 8+ years of progressive experience in product planning, product strategy, business development, strategic partnerships, automotive technology, engineering, consulting, or a related field. • 5+ years of experience in automotive infotainment, connected vehicles, digital services, consumer electronics, software-defined vehicles, or a comparable technology-driven product domain. • Demonstrated experience leading product strategy or business planning from initial concept and business-case development through organizational alignment and implementation planning. • Experience evaluating customer needs, market trends, competitive offerings, technology developments, and financial considerations to support product and investment decisions. • Experience leading complex, cross-functional initiatives involving business, engineering, design, finance, legal, procurement, operations, and external partners. • Experience developing business cases, evaluating revenue and cost models, and presenting strategic recommendations to senior leadership. • Experience working with global organizations, technology suppliers, content or service providers, and other strategic partners preferred. What differentiates Honda and make us an employer of choice? Total Rewards: Competitive Base Salary (pay will be based on several variables that include, but not limited to geographic location, work experience, etc.) Regional Bonus (when applicable) Manager Lease Car Program (No Cost - Car, Maintenance, and Insurance included) Industry-leading Benefit Plans (Medical, Dental, Vision, Rx) Paid time off, including vacation, holidays, shutdown Company Paid Short-Term and Long-Term Disability 401K Plan with company match + additional contribution Relocation assistance (if eligible) Career Growth: Advancement Opportunities Career Mobility Education Reimbursement for Continued Learning Training and Development Programs Additional Offerings: Lifestyle Account Childcare Reimbursement Account Elder Care Support Tuition Assistance & Student Loan Repayment Wellbeing Program Community Service and Engagement Programs Product Programs Honda is an equal opportunity employer and considers qualified applicants for employment without regard to race, color, creed, religion, national origin, sex, sexual orientation, gender identity and expression, age, disability, veteran status, or any other protected factor.
09/25/2026
Full time
What Makes a Honda, is Who makes a Honda Honda has a clear vision for the future, and it's a joyful one. We are looking for individuals with the skills, courage, persistence, and dreams that will help us reach our future-focused goals. At our core is innovation. Honda is constantly innovating and developing solutions to drive our business with record success. We strive to be a company that serves as a source of "power" that supports people around the world who are trying to do things based on their own initiative and that helps people expand their own potential. To this end, Honda strives to realize "the joy and freedom of mobility" by developing new technologies and an innovative approach to achieve a "zero environmental footprint." We are looking for qualified individuals with diverse backgrounds, experiences, continuous improvement values, and a strong work ethic to join our team. If your goals and values align with Honda's, we want you to join our team to Bring the Future! Job Purpose Developing and executing Software-Defined Vehicle (SDV) product strategy in a rapidly evolving automotive and technology landscape requires a highly capable, knowledgeable, and engaged team. The Software-Defined Vehicle Product Planning (SDVPP) Department is responsible for defining and driving Honda's North American SDV product strategy. The team translates customer needs and business objectives into product vision, portfolio investments, and strategic partnerships that enable Honda to deliver proven customer value faster, improve competitiveness, and drive sustainable business growth. We are looking for a passionate and experienced Infotainment Principal Product Planner to lead the strategic direction of Honda's in-vehicle digital experiences. This role requires a broad understanding of infotainment systems, digital services, customer trends, business strategy, and emerging technologies. As the business and product planning lead, you will be responsible for defining product vision, developing business strategies, and driving product planning for infotainment platforms, audio, AI assistants, connected services, and future digital experiences. You will leverage the customer's voice, business acumen, and technical understanding to collaborate effectively with internal stakeholders, engineering teams, and external partners Key Accountabilities • Lead cross-functional planning activities to convert product strategies into executable implementation roadmaps. • Drive alignment among business, engineering, design, operations, and partner organizations to enable efficient product delivery. • Establish product requirements, launch strategies, and lifecycle plans that support successful deployment across Honda vehicle programs. • Facilitate timely decision-making by balancing customer expectations, technical feasibility, program timing, and business objectives. Market Intelligence & Customer Insight • Conduct ongoing analysis of customer trends, competitive offerings, emerging technologies, and industry developments related to infotainment and digital vehicle experiences. • Identify opportunities to improve customer satisfaction, market competitiveness, and long-term product adoption. • Provide data-driven insights and strategic guidance to leadership and stakeholders. • Advocate for the voice of the customer throughout product planning and portfolio prioritization activities Qualifications, Experience, and Skills • Bachelor's degree in Business Administration, Marketing, Economics, Engineering, Computer Science, Human-Computer Interaction, or a related field, or equivalent relevant work experience. • MBA or other relevant advanced degree preferred. • 8+ years of progressive experience in product planning, product strategy, business development, strategic partnerships, automotive technology, engineering, consulting, or a related field. • 5+ years of experience in automotive infotainment, connected vehicles, digital services, consumer electronics, software-defined vehicles, or a comparable technology-driven product domain. • Demonstrated experience leading product strategy or business planning from initial concept and business-case development through organizational alignment and implementation planning. • Experience evaluating customer needs, market trends, competitive offerings, technology developments, and financial considerations to support product and investment decisions. • Experience leading complex, cross-functional initiatives involving business, engineering, design, finance, legal, procurement, operations, and external partners. • Experience developing business cases, evaluating revenue and cost models, and presenting strategic recommendations to senior leadership. • Experience working with global organizations, technology suppliers, content or service providers, and other strategic partners preferred. What differentiates Honda and make us an employer of choice? Total Rewards: Competitive Base Salary (pay will be based on several variables that include, but not limited to geographic location, work experience, etc.) Regional Bonus (when applicable) Manager Lease Car Program (No Cost - Car, Maintenance, and Insurance included) Industry-leading Benefit Plans (Medical, Dental, Vision, Rx) Paid time off, including vacation, holidays, shutdown Company Paid Short-Term and Long-Term Disability 401K Plan with company match + additional contribution Relocation assistance (if eligible) Career Growth: Advancement Opportunities Career Mobility Education Reimbursement for Continued Learning Training and Development Programs Additional Offerings: Lifestyle Account Childcare Reimbursement Account Elder Care Support Tuition Assistance & Student Loan Repayment Wellbeing Program Community Service and Engagement Programs Product Programs Honda is an equal opportunity employer and considers qualified applicants for employment without regard to race, color, creed, religion, national origin, sex, sexual orientation, gender identity and expression, age, disability, veteran status, or any other protected factor.
