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.
Quick Position Facts! Location: San Diego, CA at our G2 Ops office and customer site. Work Setting: Primarily at the Customer Site. Salary Range: $140,000 - $185,000plus comprehensive benefits package. Years of Industry Experience: 7+ years of relevant experience. Security Clearance Requirement: Must be able to obtain and maintain Active DoD Secret Clearance. About the Role. G2 Ops supports mission-critical defense and technology initiatives by solving complex operational and engineering challenges. We are seeking a motivated, collaborative Senior Systems Engineer to support the PMW 770 Link 16 program and its mission-critical systems engineering activities. In this role, you'll contribute to technical program support, Model-Based Systems Engineering, engineering change management, technical reviews, acquisition documentation, and systems test and evaluation activities while working alongside a team that values innovation, technical excellence, and continuous growth. What You'll Do Provide technical systems engineering support to the Assistant Program Manager for the PMW 770 Link 16 program. Develop technical briefs and deliver presentations to senior government and program stakeholders. Contribute to, review, and validate Model-Based Systems Engineering diagrams and engineering artifacts. Manage and coordinate Engineering Change Requests through applicable review and approval processes. Conduct and support naval systems engineering technical reviews. Draft and maintain systems engineering acquisition documentation and related technical products. Coordinate systems test and evaluation activities with engineering, program, and customer stakeholders. Identify technical issues, communicate engineering impacts, and support informed program decisions. What You'll Bring Required Qualifications Bachelor's degree in an Engineering discipline. 7+ years of relevant professional experience, including experience with enterprise architecture for IT infrastructure management. Experience applying systems engineering principles to complex technical programs or environments. Experience developing technical documentation, engineering briefs, and decision-support materials. Ability to evaluate and contribute to Model-Based Systems Engineering diagrams and technical artifacts. Strong communication and collaboration skills. Ability to communicate technical information effectively to senior stakeholders. Ability to work effectively in a team-oriented and customer-facing environment. Ability to obtain and maintain required security clearance. Preferred Qualifications Experience supporting DoD, Department of the Navy, NAVWAR, or similar government programs. Familiarity with Link 16, tactical data links, or related naval communications systems. Experience with Model-Based Systems Engineering methodologies, tools, or modeling environments. Experience managing Engineering Change Requests or similar configuration and change-management processes. Experience supporting systems engineering technical reviews, acquisition documentation, or systems test and evaluation activities. Experience working in cross-functional or customer-facing environments. 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-$185,000 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: San Diego, CA at our G2 Ops office and customer site. Work Setting: Primarily at the Customer Site. Salary Range: $140,000 - $185,000plus comprehensive benefits package. Years of Industry Experience: 7+ years of relevant experience. Security Clearance Requirement: Must be able to obtain and maintain Active DoD Secret Clearance. About the Role. G2 Ops supports mission-critical defense and technology initiatives by solving complex operational and engineering challenges. We are seeking a motivated, collaborative Senior Systems Engineer to support the PMW 770 Link 16 program and its mission-critical systems engineering activities. In this role, you'll contribute to technical program support, Model-Based Systems Engineering, engineering change management, technical reviews, acquisition documentation, and systems test and evaluation activities while working alongside a team that values innovation, technical excellence, and continuous growth. What You'll Do Provide technical systems engineering support to the Assistant Program Manager for the PMW 770 Link 16 program. Develop technical briefs and deliver presentations to senior government and program stakeholders. Contribute to, review, and validate Model-Based Systems Engineering diagrams and engineering artifacts. Manage and coordinate Engineering Change Requests through applicable review and approval processes. Conduct and support naval systems engineering technical reviews. Draft and maintain systems engineering acquisition documentation and related technical products. Coordinate systems test and evaluation activities with engineering, program, and customer stakeholders. Identify technical issues, communicate engineering impacts, and support informed program decisions. What You'll Bring Required Qualifications Bachelor's degree in an Engineering discipline. 7+ years of relevant professional experience, including experience with enterprise architecture for IT infrastructure management. Experience applying systems engineering principles to complex technical programs or environments. Experience developing technical documentation, engineering briefs, and decision-support materials. Ability to evaluate and contribute to Model-Based Systems Engineering diagrams and technical artifacts. Strong communication and collaboration skills. Ability to communicate technical information effectively to senior stakeholders. Ability to work effectively in a team-oriented and customer-facing environment. Ability to obtain and maintain required security clearance. Preferred Qualifications Experience supporting DoD, Department of the Navy, NAVWAR, or similar government programs. Familiarity with Link 16, tactical data links, or related naval communications systems. Experience with Model-Based Systems Engineering methodologies, tools, or modeling environments. Experience managing Engineering Change Requests or similar configuration and change-management processes. Experience supporting systems engineering technical reviews, acquisition documentation, or systems test and evaluation activities. Experience working in cross-functional or customer-facing environments. 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-$185,000 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: San Diego, CA. Work Setting: Two openings are available. One position requires regular onsite support at the customer site; the second offers a more flexible/hybrid work arrangement based on program requirements. Salary Range: Mid-Level: $90,000 - $140,000 Senior-Level: $140,000 - $200,000 Final compensation will depend on qualifications, experience, level, and program requirements. Years of Industry Experience: Mid-Level: 3-6 years of relevant experience Senior-Level: 7+ years of relevant experience Security Clearance Requirement: Must be able to obtain and maintain Active DoD Secret Clearance. About the Role. G2 Ops supports mission-critical defense and technology initiatives by solving complex operational and engineering challenges. We are seeking motivated, collaborative Model-Based Systems Engineers (MBSE) to support Digital Engineering initiatives for DoD customers in San Diego. We are hiring for two MBSE openings at different experience levels and with different work arrangements. One role requires regular customer-site support, while the other offers greater flexibility based on program requirements. Depending on your experience and program fit, you may be considered for a mid-level or senior-level opportunity. In this role, you'll apply MBSE methodologies to develop and mature system models, architectures, standards, and engineering products. You may support model development, Digital Engineering implementation, model governance, or Navy programs transitioning from traditional systems engineering to model-based approaches. What You'll Do Develop and maintain system models and architectures using Cameo/MagicDraw, SysML, and related MBSE methodologies. Collaborate with Government stakeholders, Program Executive Offices, and multidisciplinary engineering teams to resolve technical issues and advance MBSE adoption. Improve model consistency, traceability, interoperability, information reuse, and collaboration across engineering teams. Support model governance, configuration management, cybersecurity, systems engineering, and acquisition-related documentation and analysis. Develop and maintain MBSE standards, implementation guidance, modeling conventions, technical documentation, and configuration-managed engineering products. Support Navy programs transitioning from traditional systems engineering to Digital Engineering and model-based approaches. Translate technical requirements, existing engineering documentation, and stakeholder needs into structured models, data requirements, workflows, and technical products. What You'll Bring Required Qualifications Bachelor's degree in Engineering or a related technical discipline. Demonstrated professional experience applying Model-Based Systems Engineering (MBSE) methodologies. Experience developing or maintaining system models using Cameo Systems Modeler/MagicDraw or comparable SysML-based tools. Working knowledge of systems engineering principles, lifecycle processes, and model-based engineering methodologies. Ability to translate engineering requirements and stakeholder needs into structured models, architectures, workflows, and technical documentation. Strong written and verbal communication skills and the ability to collaborate with multidisciplinary engineering and Government teams. Ability to obtain and maintain Secret clearance. Preferred Qualifications Experience supporting NAVWAR, PEOs, Naval acquisition, or other DoD programs. Experience with SysML, UML, executable architectures, or model governance. Experience developing MBSE standards, guides, training, or model catalogs. Familiarity with cybersecurity, configuration management, Digital Thread, or PLM concepts. Experience working in cross-functional or customer-facing environments. 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 are: Mid-Level: $90,000 - $140,000 Senior-Level: $140,000 - $200,000 Final compensation will depend on qualifications, experience, level, and program requirements. 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: San Diego, CA. Work Setting: Two openings are available. One position requires regular onsite support at the customer site; the second offers a more flexible/hybrid work arrangement based on program requirements. Salary Range: Mid-Level: $90,000 - $140,000 Senior-Level: $140,000 - $200,000 Final compensation will depend on qualifications, experience, level, and program requirements. Years of Industry Experience: Mid-Level: 3-6 years of relevant experience Senior-Level: 7+ years of relevant experience Security Clearance Requirement: Must be able to obtain and maintain Active DoD Secret Clearance. About the Role. G2 Ops supports mission-critical defense and technology initiatives by solving complex operational and engineering challenges. We are seeking motivated, collaborative Model-Based Systems Engineers (MBSE) to support Digital Engineering initiatives for DoD customers in San Diego. We are hiring for two MBSE openings at different experience levels and with different work arrangements. One role requires regular customer-site support, while the other offers greater flexibility based on program requirements. Depending on your experience and program fit, you may be considered for a mid-level or senior-level opportunity. In this role, you'll apply MBSE methodologies to develop and mature system models, architectures, standards, and engineering products. You may support model development, Digital Engineering implementation, model governance, or Navy programs transitioning from traditional systems engineering to model-based approaches. What You'll Do Develop and maintain system models and architectures using Cameo/MagicDraw, SysML, and related MBSE methodologies. Collaborate with Government stakeholders, Program Executive Offices, and multidisciplinary engineering teams to resolve technical issues and advance MBSE adoption. Improve model consistency, traceability, interoperability, information reuse, and collaboration across engineering teams. Support model governance, configuration management, cybersecurity, systems engineering, and acquisition-related documentation and analysis. Develop and maintain MBSE standards, implementation guidance, modeling conventions, technical documentation, and configuration-managed engineering products. Support Navy programs transitioning from traditional systems engineering to Digital Engineering and model-based approaches. Translate technical requirements, existing engineering documentation, and stakeholder needs into structured models, data requirements, workflows, and technical products. What You'll Bring Required Qualifications Bachelor's degree in Engineering or a related technical discipline. Demonstrated professional experience applying Model-Based Systems Engineering (MBSE) methodologies. Experience developing or maintaining system models using Cameo Systems Modeler/MagicDraw or comparable SysML-based tools. Working knowledge of systems engineering principles, lifecycle processes, and model-based engineering methodologies. Ability to translate engineering requirements and stakeholder needs into structured models, architectures, workflows, and technical documentation. Strong written and verbal communication skills and the ability to collaborate with multidisciplinary engineering and Government teams. Ability to obtain and maintain Secret clearance. Preferred Qualifications Experience supporting NAVWAR, PEOs, Naval acquisition, or other DoD programs. Experience with SysML, UML, executable architectures, or model governance. Experience developing MBSE standards, guides, training, or model catalogs. Familiarity with cybersecurity, configuration management, Digital Thread, or PLM concepts. Experience working in cross-functional or customer-facing environments. 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 are: Mid-Level: $90,000 - $140,000 Senior-Level: $140,000 - $200,000 Final compensation will depend on qualifications, experience, level, and program requirements. 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: 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:
Mission Support & Test Services, LLC (MSTS)
North Las Vegas, Nevada
The Information Technology Directorate is looking for a Senior Applications Analyst Full-Stack .NET Developer who is a team player and has strong experience developing applications using the technologies described below. The Applications Analyst will be responsible for the business process analysis, design, development, implementation and support of the applicable business applications. This position does not manage staff. The position reports to the Software Engineering Manager of the Rapid Application Development team. Responsibilities Key Responsibilities Candidate will write program code from internal specification documentation or outdated application code and prepare test plans, test data, run tests, observe results and correct program code to resolve any differences from specifications. Perform/assist in the administration and technical responsibility of COTS and in-house developed applications including support for users, translating business requirements into enhancements; configuring and testing changes; maintaining and monitoring system security and permissions; and coordinating activities with other team members, the application owner, and IT. Collect and process large data sets from various sources. Develop and maintain databases and data systems to store and manage data. Create and implement data models and algorithms to analyze data. Identify trends and patterns in data to inform business decisions. Develop and present reports, visualizations, and forecasts to stakeholders. Collaborate with cross-functional teams to integrate data insights into business strategies. Identify, report, and perform/assist in the remediation of Cyber Security threats and vulnerabilities. Candidate may provide direction to less experienced staff. Candidate is expected to coach or mentor less senior staff. Candidate is expected to lead complex projects that may involve other IT sections, other departments, and consultants. Candidate will serve as liaison between IT and Business Support groups. Ability to use multiple electronic devices including standard office machines, cellular phones, and security appliances. Ability to understand policies, procedures, laws, regulations, and other directives, maintain strict confidentiality. Qualifications Due to the nature of our work, US Citizenship is required for all positions. Bachelor's degree in a computer related field or equivalent computer related experience with at least 5 years of relevant, progressively responsible experience. We are looking for a person who is a team player and has strong experience developing applications using these technologies. Advanced knowledge of technical principles, theories, standards, practices and procedures in software development and database administration. Candidate needs to understand the features and concepts associated with object-oriented programming and the Model-View-Controller architectural pattern. Must possess strong analytical and problem-solving skills. Must possess good trouble shooting and testing skills. Must possess excellent customer service skills and good oral and written communication skills sufficient to communicate with co-workers and stakeholders, write clear and concise reports, gather information, and collect information. Must possess good presentation skills. Supports multiple, complex software applications or database platforms. Candidate will be an object-oriented, full-stack developer, preferably in ASP.NET (.NET Framework & .NET 8 or later), Blazor, MVC, C#, JavaScript, HTML, CSS, APEX, and Java. Experience using Azure DevOps, Git, Visual Studio, Toad for Oracle, Denodo, and Power BI. Must have knowledge and experience using MSSQL Server and Oracle relational databases. Must have experience developing web applications and deploying on Windows Server using IIS web server. Must have knowledge about secured application development and experience applying that to web applications. Must have some experience designing and developing AI/ML automation systems. Must have some experience designing and developing Retrieval-Augmented Generation (RAG) pipelines using Elasticsearch or similar and LLMs for data/document retrieval. Must be able to understand and remediate security vulnerabilities on supporting applications. Ability to multi-task and maintain organization in a fast-paced, changing environment. Ability to solve complex design problems. Must be willing to accept responsibility in new areas and possess the level of technical and analytical skills that will provide successful outcomes to those assignments. Must be able to accept assigned responsibilities and manage work to ensure deadlines and milestones are met. Must have expert experience in broad range of tools and technology used by NNSS. Must have the aptitude and desire to continually learn about new tools and technology and have the ability to evaluate the best solution for stated problems. Must deliver quality, maintainable solutions. Ability to use a systems engineering approach when implementing new solutions or modifying existing solutions. Ability to evaluate user requirements and write technical specifications. Understand the principles associated with the MSTS safety concept. Participate in and embrace MSTS environment, safety, health, and quality initiatives. The primary work location will be the North Las Vegas Facility on Losee Road. Telecommuting or teleworking may be a possibility for this position. Work schedule will be 4/10s Monday through Thursday (subject to change). Pre-placement physical examination, which includes a drug screen, is required. MSTS maintains a substance abuse policy that includes random drug testing. Must possess a valid driver's license. Ability to obtain a HSPD-12 Personal Identity Verification credential under the Department of Energy Order 206.2, 'Identity, Credential, and Access Management,' and Supplemental Directive NNSA SD 206.2, 'Implementation of Personal Identity Verification for Uncleared Contractors.' MSTS is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, national origin, disability, veteran status or other characteristics protected by law. MSTS is a background screening, drug-free workplace. Annual salary range for this position is: $97,219.20 - $145,828.80. Starting salary is determined based on the position market value, the individual candidate education and experience and internal equity. Mission Support and Test Services, LLC (MSTS) manages and operates the Nevada National Security Sites (NNSS) for the U.S. National Nuclear Security Administration (NNSA), a semi-autonomous agency within the U.S. Department of Energy (DOE). The NNSS is an enterprise of special-purpose, multi-mission, high-hazard experimentation facilities delivering technical and service solutions in partnership with the National Laboratories. Our collaborative work supports the government's most important national security missions. (See NNSS.gov for our unique capabilities.) Our 3,000+ professional, craft, and support employees are called upon to innovate, collaborate, and deliver on some of the more difficult nuclear security challenges facing the world today. • MSTS offers our full-time employees highly competitive salaries and benefits packages including medical, dental, and vision; both a pension and a 401k; paid time off and 96 hours of paid holidays; relocation (if located more than 75 miles from work location); tuition assistance and reimbursement; and more. • MSTS is a limited liability company consisting of Honeywell Aerospace, Amentum, and HII Nuclear Inc.
09/25/2026
Full time
The Information Technology Directorate is looking for a Senior Applications Analyst Full-Stack .NET Developer who is a team player and has strong experience developing applications using the technologies described below. The Applications Analyst will be responsible for the business process analysis, design, development, implementation and support of the applicable business applications. This position does not manage staff. The position reports to the Software Engineering Manager of the Rapid Application Development team. Responsibilities Key Responsibilities Candidate will write program code from internal specification documentation or outdated application code and prepare test plans, test data, run tests, observe results and correct program code to resolve any differences from specifications. Perform/assist in the administration and technical responsibility of COTS and in-house developed applications including support for users, translating business requirements into enhancements; configuring and testing changes; maintaining and monitoring system security and permissions; and coordinating activities with other team members, the application owner, and IT. Collect and process large data sets from various sources. Develop and maintain databases and data systems to store and manage data. Create and implement data models and algorithms to analyze data. Identify trends and patterns in data to inform business decisions. Develop and present reports, visualizations, and forecasts to stakeholders. Collaborate with cross-functional teams to integrate data insights into business strategies. Identify, report, and perform/assist in the remediation of Cyber Security threats and vulnerabilities. Candidate may provide direction to less experienced staff. Candidate is expected to coach or mentor less senior staff. Candidate is expected to lead complex projects that may involve other IT sections, other departments, and consultants. Candidate will serve as liaison between IT and Business Support groups. Ability to use multiple electronic devices including standard office machines, cellular phones, and security appliances. Ability to understand policies, procedures, laws, regulations, and other directives, maintain strict confidentiality. Qualifications Due to the nature of our work, US Citizenship is required for all positions. Bachelor's degree in a computer related field or equivalent computer related experience with at least 5 years of relevant, progressively responsible experience. We are looking for a person who is a team player and has strong experience developing applications using these technologies. Advanced knowledge of technical principles, theories, standards, practices and procedures in software development and database administration. Candidate needs to understand the features and concepts associated with object-oriented programming and the Model-View-Controller architectural pattern. Must possess strong analytical and problem-solving skills. Must possess good trouble shooting and testing skills. Must possess excellent customer service skills and good oral and written communication skills sufficient to communicate with co-workers and stakeholders, write clear and concise reports, gather information, and collect information. Must possess good presentation skills. Supports multiple, complex software applications or database platforms. Candidate will be an object-oriented, full-stack developer, preferably in ASP.NET (.NET Framework & .NET 8 or later), Blazor, MVC, C#, JavaScript, HTML, CSS, APEX, and Java. Experience using Azure DevOps, Git, Visual Studio, Toad for Oracle, Denodo, and Power BI. Must have knowledge and experience using MSSQL Server and Oracle relational databases. Must have experience developing web applications and deploying on Windows Server using IIS web server. Must have knowledge about secured application development and experience applying that to web applications. Must have some experience designing and developing AI/ML automation systems. Must have some experience designing and developing Retrieval-Augmented Generation (RAG) pipelines using Elasticsearch or similar and LLMs for data/document retrieval. Must be able to understand and remediate security vulnerabilities on supporting applications. Ability to multi-task and maintain organization in a fast-paced, changing environment. Ability to solve complex design problems. Must be willing to accept responsibility in new areas and possess the level of technical and analytical skills that will provide successful outcomes to those assignments. Must be able to accept assigned responsibilities and manage work to ensure deadlines and milestones are met. Must have expert experience in broad range of tools and technology used by NNSS. Must have the aptitude and desire to continually learn about new tools and technology and have the ability to evaluate the best solution for stated problems. Must deliver quality, maintainable solutions. Ability to use a systems engineering approach when implementing new solutions or modifying existing solutions. Ability to evaluate user requirements and write technical specifications. Understand the principles associated with the MSTS safety concept. Participate in and embrace MSTS environment, safety, health, and quality initiatives. The primary work location will be the North Las Vegas Facility on Losee Road. Telecommuting or teleworking may be a possibility for this position. Work schedule will be 4/10s Monday through Thursday (subject to change). Pre-placement physical examination, which includes a drug screen, is required. MSTS maintains a substance abuse policy that includes random drug testing. Must possess a valid driver's license. Ability to obtain a HSPD-12 Personal Identity Verification credential under the Department of Energy Order 206.2, 'Identity, Credential, and Access Management,' and Supplemental Directive NNSA SD 206.2, 'Implementation of Personal Identity Verification for Uncleared Contractors.' MSTS is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, national origin, disability, veteran status or other characteristics protected by law. MSTS is a background screening, drug-free workplace. Annual salary range for this position is: $97,219.20 - $145,828.80. Starting salary is determined based on the position market value, the individual candidate education and experience and internal equity. Mission Support and Test Services, LLC (MSTS) manages and operates the Nevada National Security Sites (NNSS) for the U.S. National Nuclear Security Administration (NNSA), a semi-autonomous agency within the U.S. Department of Energy (DOE). The NNSS is an enterprise of special-purpose, multi-mission, high-hazard experimentation facilities delivering technical and service solutions in partnership with the National Laboratories. Our collaborative work supports the government's most important national security missions. (See NNSS.gov for our unique capabilities.) Our 3,000+ professional, craft, and support employees are called upon to innovate, collaborate, and deliver on some of the more difficult nuclear security challenges facing the world today. • MSTS offers our full-time employees highly competitive salaries and benefits packages including medical, dental, and vision; both a pension and a 401k; paid time off and 96 hours of paid holidays; relocation (if located more than 75 miles from work location); tuition assistance and reimbursement; and more. • MSTS is a limited liability company consisting of Honeywell Aerospace, Amentum, and HII Nuclear Inc.
Senior Staff AI Engineer (Remote Eligible) At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. What You'll Do: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, agents and multi-agent workflows, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more. Invent and introduce state-of-the-art foundation model optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. Define and steer the technical AI architecture vision, integrating applied research breakthroughs into production ecosystems with reliability and scale Lead the establishment of AI performance, safety, and transparency standards that guide all model development and deployment company-wide Drive multi-year platform initiatives that unify data, compute and model lifecycle management under and cohesive enterprise AI architecture Mentor senior technical leaders across research, data and engineering disciplines, developing the next generation of Capital One's AI technical leadership. Capital One is open to hiring a Remote Employee for this opportunity. Basic Qualifications: Bachelor's Degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 10 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 8 years of experience developing AI and ML algorithms or technologies At least 10 years of experience programming with Python, Go, Scala, CUDA, or Java Preferred Qualifications: Experience architecting AI platforms with tradeoff decisions around cost, latency, throughput and accuracy 9 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience architecting, designing, developing, integrating, delivering, and supporting complex AI systems Demonstrated ability to lead and mentor multiple engineering teams and influence cross-functional stakeholders up to the SVP level Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Experience in building agentic AI systems and agentic workflows Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Recognized industry leader in applied AI or machine learning infrastructure through patents, publications, or open-source leadership Demonstrated experience designing long-term AI infrastructure strategies - balancing cost, scale, ethics and regulatory compliance Experience driving organization-wide adoption of AI safety, alignment and governance standards, collaborating with policy, risk and legal teams Proven ability to shape R&D investment strategy by identifying breakthrough AI capabilities with material business impact Experience right-sizing models, instance counts, and hardware types given requirements (e.g., context length, token inputs, token outputs) Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Remote (Regardless of Location): $286,200 - $326,700 for Sr. Staff AI Engineer Cambridge, MA: $314,800 - $359,300 for Sr. Staff AI Engineer McLean, VA: $314,800 - $359,300 for Sr. Staff AI Engineer New York, NY: $343,400 - $392,000 for Sr. Staff AI Engineer San Francisco, CA: $343,400 - $392,000 for Sr. Staff AI Engineer San Jose, CA: $343,400 - $392,000 for Sr. Staff AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
09/24/2026
Full time
Senior Staff AI Engineer (Remote Eligible) At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. What You'll Do: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, agents and multi-agent workflows, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more. Invent and introduce state-of-the-art foundation model optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. Define and steer the technical AI architecture vision, integrating applied research breakthroughs into production ecosystems with reliability and scale Lead the establishment of AI performance, safety, and transparency standards that guide all model development and deployment company-wide Drive multi-year platform initiatives that unify data, compute and model lifecycle management under and cohesive enterprise AI architecture Mentor senior technical leaders across research, data and engineering disciplines, developing the next generation of Capital One's AI technical leadership. Capital One is open to hiring a Remote Employee for this opportunity. Basic Qualifications: Bachelor's Degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 10 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 8 years of experience developing AI and ML algorithms or technologies At least 10 years of experience programming with Python, Go, Scala, CUDA, or Java Preferred Qualifications: Experience architecting AI platforms with tradeoff decisions around cost, latency, throughput and accuracy 9 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience architecting, designing, developing, integrating, delivering, and supporting complex AI systems Demonstrated ability to lead and mentor multiple engineering teams and influence cross-functional stakeholders up to the SVP level Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Experience in building agentic AI systems and agentic workflows Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Recognized industry leader in applied AI or machine learning infrastructure through patents, publications, or open-source leadership Demonstrated experience designing long-term AI infrastructure strategies - balancing cost, scale, ethics and regulatory compliance Experience driving organization-wide adoption of AI safety, alignment and governance standards, collaborating with policy, risk and legal teams Proven ability to shape R&D investment strategy by identifying breakthrough AI capabilities with material business impact Experience right-sizing models, instance counts, and hardware types given requirements (e.g., context length, token inputs, token outputs) Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Remote (Regardless of Location): $286,200 - $326,700 for Sr. Staff AI Engineer Cambridge, MA: $314,800 - $359,300 for Sr. Staff AI Engineer McLean, VA: $314,800 - $359,300 for Sr. Staff AI Engineer New York, NY: $343,400 - $392,000 for Sr. Staff AI Engineer San Francisco, CA: $343,400 - $392,000 for Sr. Staff AI Engineer San Jose, CA: $343,400 - $392,000 for Sr. Staff AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
Senior Staff AI Engineer (Remote Eligible) At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. What You'll Do: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, agents and multi-agent workflows, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more. Invent and introduce state-of-the-art foundation model optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. Define and steer the technical AI architecture vision, integrating applied research breakthroughs into production ecosystems with reliability and scale Lead the establishment of AI performance, safety, and transparency standards that guide all model development and deployment company-wide Drive multi-year platform initiatives that unify data, compute and model lifecycle management under and cohesive enterprise AI architecture Mentor senior technical leaders across research, data and engineering disciplines, developing the next generation of Capital One's AI technical leadership. Capital One is open to hiring a Remote Employee for this opportunity. Basic Qualifications: Bachelor's Degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 10 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 8 years of experience developing AI and ML algorithms or technologies At least 10 years of experience programming with Python, Go, Scala, CUDA, or Java Preferred Qualifications: Experience architecting AI platforms with tradeoff decisions around cost, latency, throughput and accuracy 9 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience architecting, designing, developing, integrating, delivering, and supporting complex AI systems Demonstrated ability to lead and mentor multiple engineering teams and influence cross-functional stakeholders up to the SVP level Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Experience in building agentic AI systems and agentic workflows Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Recognized industry leader in applied AI or machine learning infrastructure through patents, publications, or open-source leadership Demonstrated experience designing long-term AI infrastructure strategies - balancing cost, scale, ethics and regulatory compliance Experience driving organization-wide adoption of AI safety, alignment and governance standards, collaborating with policy, risk and legal teams Proven ability to shape R&D investment strategy by identifying breakthrough AI capabilities with material business impact Experience right-sizing models, instance counts, and hardware types given requirements (e.g., context length, token inputs, token outputs) Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Remote (Regardless of Location): $286,200 - $326,700 for Sr. Staff AI Engineer Cambridge, MA: $314,800 - $359,300 for Sr. Staff AI Engineer McLean, VA: $314,800 - $359,300 for Sr. Staff AI Engineer New York, NY: $343,400 - $392,000 for Sr. Staff AI Engineer San Francisco, CA: $343,400 - $392,000 for Sr. Staff AI Engineer San Jose, CA: $343,400 - $392,000 for Sr. Staff AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
09/24/2026
Full time
Senior Staff AI Engineer (Remote Eligible) At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. What You'll Do: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, agents and multi-agent workflows, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more. Invent and introduce state-of-the-art foundation model optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. Define and steer the technical AI architecture vision, integrating applied research breakthroughs into production ecosystems with reliability and scale Lead the establishment of AI performance, safety, and transparency standards that guide all model development and deployment company-wide Drive multi-year platform initiatives that unify data, compute and model lifecycle management under and cohesive enterprise AI architecture Mentor senior technical leaders across research, data and engineering disciplines, developing the next generation of Capital One's AI technical leadership. Capital One is open to hiring a Remote Employee for this opportunity. Basic Qualifications: Bachelor's Degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 10 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 8 years of experience developing AI and ML algorithms or technologies At least 10 years of experience programming with Python, Go, Scala, CUDA, or Java Preferred Qualifications: Experience architecting AI platforms with tradeoff decisions around cost, latency, throughput and accuracy 9 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience architecting, designing, developing, integrating, delivering, and supporting complex AI systems Demonstrated ability to lead and mentor multiple engineering teams and influence cross-functional stakeholders up to the SVP level Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Experience in building agentic AI systems and agentic workflows Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Recognized industry leader in applied AI or machine learning infrastructure through patents, publications, or open-source leadership Demonstrated experience designing long-term AI infrastructure strategies - balancing cost, scale, ethics and regulatory compliance Experience driving organization-wide adoption of AI safety, alignment and governance standards, collaborating with policy, risk and legal teams Proven ability to shape R&D investment strategy by identifying breakthrough AI capabilities with material business impact Experience right-sizing models, instance counts, and hardware types given requirements (e.g., context length, token inputs, token outputs) Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Remote (Regardless of Location): $286,200 - $326,700 for Sr. Staff AI Engineer Cambridge, MA: $314,800 - $359,300 for Sr. Staff AI Engineer McLean, VA: $314,800 - $359,300 for Sr. Staff AI Engineer New York, NY: $343,400 - $392,000 for Sr. Staff AI Engineer San Francisco, CA: $343,400 - $392,000 for Sr. Staff AI Engineer San Jose, CA: $343,400 - $392,000 for Sr. Staff AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
Sr. Staff AI Engineer At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. What You'll Do: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, agents and multi-agent workflows, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more. Invent and introduce state-of-the-art foundation model optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. Define and steer the technical AI architecture vision, integrating applied research breakthroughs into production ecosystems with reliability and scale Lead the establishment of AI performance, safety, and transparency standards that guide all model development and deployment company-wide Drive multi-year platform initiatives that unify data, compute and model lifecycle management under and cohesive enterprise AI architecture Mentor senior technical leaders across research, data and engineering disciplines, developing the next generation of Capital One's AI technical leadership Basic Qualifications: Bachelor's Degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 10 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 8 years of experience developing AI and ML algorithms or technologies At least 10 years of experience programming with Python, Go, Scala, CUDA, or Java Preferred Qualifications: Experience architecting AI platforms with tradeoff decisions around cost, latency, throughput and accuracy 9 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience architecting, designing, developing, integrating, delivering, and supporting complex AI systems Demonstrated ability to lead and mentor multiple engineering teams and influence cross-functional stakeholders up to the SVP level Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Experience in building agentic AI systems and agentic workflows Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Recognized industry leader in applied AI or machine learning infrastructure through patents, publications, or open-source leadership Demonstrated experience designing long-term AI infrastructure strategies - balancing cost, scale, ethics and regulatory compliance Experience driving organization-wide adoption of AI safety, alignment and governance standards, collaborating with policy, risk and legal teams Proven ability to shape R&D investment strategy by identifying breakthrough AI capabilities with material business impact Experience right-sizing models, instance counts, and hardware types given requirements (e.g., context length, token inputs, token outputs) Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $314,800 - $359,300 for Sr. Staff AI Engineer McLean, VA: $314,800 - $359,300 for Sr. Staff AI Engineer New York, NY: $343,400 - $392,000 for Sr. Staff AI Engineer Richmond, VA: $286,200 - $326,700 for Sr. Staff AI Engineer San Francisco, CA: $343,400 - $392,000 for Sr. Staff AI Engineer San Jose, CA: $343,400 - $392,000 for Sr. Staff AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
09/23/2026
Full time
Sr. Staff AI Engineer At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. What You'll Do: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, agents and multi-agent workflows, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more. Invent and introduce state-of-the-art foundation model optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. Define and steer the technical AI architecture vision, integrating applied research breakthroughs into production ecosystems with reliability and scale Lead the establishment of AI performance, safety, and transparency standards that guide all model development and deployment company-wide Drive multi-year platform initiatives that unify data, compute and model lifecycle management under and cohesive enterprise AI architecture Mentor senior technical leaders across research, data and engineering disciplines, developing the next generation of Capital One's AI technical leadership Basic Qualifications: Bachelor's Degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 10 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 8 years of experience developing AI and ML algorithms or technologies At least 10 years of experience programming with Python, Go, Scala, CUDA, or Java Preferred Qualifications: Experience architecting AI platforms with tradeoff decisions around cost, latency, throughput and accuracy 9 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience architecting, designing, developing, integrating, delivering, and supporting complex AI systems Demonstrated ability to lead and mentor multiple engineering teams and influence cross-functional stakeholders up to the SVP level Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Experience in building agentic AI systems and agentic workflows Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Recognized industry leader in applied AI or machine learning infrastructure through patents, publications, or open-source leadership Demonstrated experience designing long-term AI infrastructure strategies - balancing cost, scale, ethics and regulatory compliance Experience driving organization-wide adoption of AI safety, alignment and governance standards, collaborating with policy, risk and legal teams Proven ability to shape R&D investment strategy by identifying breakthrough AI capabilities with material business impact Experience right-sizing models, instance counts, and hardware types given requirements (e.g., context length, token inputs, token outputs) Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $314,800 - $359,300 for Sr. Staff AI Engineer McLean, VA: $314,800 - $359,300 for Sr. Staff AI Engineer New York, NY: $343,400 - $392,000 for Sr. Staff AI Engineer Richmond, VA: $286,200 - $326,700 for Sr. Staff AI Engineer San Francisco, CA: $343,400 - $392,000 for Sr. Staff AI Engineer San Jose, CA: $343,400 - $392,000 for Sr. Staff AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
Sr. Staff AI Engineer At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. What You'll Do: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, agents and multi-agent workflows, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more. Invent and introduce state-of-the-art foundation model optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. Define and steer the technical AI architecture vision, integrating applied research breakthroughs into production ecosystems with reliability and scale Lead the establishment of AI performance, safety, and transparency standards that guide all model development and deployment company-wide Drive multi-year platform initiatives that unify data, compute and model lifecycle management under and cohesive enterprise AI architecture Mentor senior technical leaders across research, data and engineering disciplines, developing the next generation of Capital One's AI technical leadership Basic Qualifications: Bachelor's Degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 10 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 8 years of experience developing AI and ML algorithms or technologies At least 10 years of experience programming with Python, Go, Scala, CUDA, or Java Preferred Qualifications: Experience architecting AI platforms with tradeoff decisions around cost, latency, throughput and accuracy 9 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience architecting, designing, developing, integrating, delivering, and supporting complex AI systems Demonstrated ability to lead and mentor multiple engineering teams and influence cross-functional stakeholders up to the SVP level Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Experience in building agentic AI systems and agentic workflows Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Recognized industry leader in applied AI or machine learning infrastructure through patents, publications, or open-source leadership Demonstrated experience designing long-term AI infrastructure strategies - balancing cost, scale, ethics and regulatory compliance Experience driving organization-wide adoption of AI safety, alignment and governance standards, collaborating with policy, risk and legal teams Proven ability to shape R&D investment strategy by identifying breakthrough AI capabilities with material business impact Experience right-sizing models, instance counts, and hardware types given requirements (e.g., context length, token inputs, token outputs) Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $314,800 - $359,300 for Sr. Staff AI Engineer McLean, VA: $314,800 - $359,300 for Sr. Staff AI Engineer New York, NY: $343,400 - $392,000 for Sr. Staff AI Engineer Richmond, VA: $286,200 - $326,700 for Sr. Staff AI Engineer San Francisco, CA: $343,400 - $392,000 for Sr. Staff AI Engineer San Jose, CA: $343,400 - $392,000 for Sr. Staff AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
09/23/2026
Full time
Sr. Staff AI Engineer At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. What You'll Do: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, agents and multi-agent workflows, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more. Invent and introduce state-of-the-art foundation model optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. Define and steer the technical AI architecture vision, integrating applied research breakthroughs into production ecosystems with reliability and scale Lead the establishment of AI performance, safety, and transparency standards that guide all model development and deployment company-wide Drive multi-year platform initiatives that unify data, compute and model lifecycle management under and cohesive enterprise AI architecture Mentor senior technical leaders across research, data and engineering disciplines, developing the next generation of Capital One's AI technical leadership Basic Qualifications: Bachelor's Degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 10 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 8 years of experience developing AI and ML algorithms or technologies At least 10 years of experience programming with Python, Go, Scala, CUDA, or Java Preferred Qualifications: Experience architecting AI platforms with tradeoff decisions around cost, latency, throughput and accuracy 9 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience architecting, designing, developing, integrating, delivering, and supporting complex AI systems Demonstrated ability to lead and mentor multiple engineering teams and influence cross-functional stakeholders up to the SVP level Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Experience in building agentic AI systems and agentic workflows Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Recognized industry leader in applied AI or machine learning infrastructure through patents, publications, or open-source leadership Demonstrated experience designing long-term AI infrastructure strategies - balancing cost, scale, ethics and regulatory compliance Experience driving organization-wide adoption of AI safety, alignment and governance standards, collaborating with policy, risk and legal teams Proven ability to shape R&D investment strategy by identifying breakthrough AI capabilities with material business impact Experience right-sizing models, instance counts, and hardware types given requirements (e.g., context length, token inputs, token outputs) Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $314,800 - $359,300 for Sr. Staff AI Engineer McLean, VA: $314,800 - $359,300 for Sr. Staff AI Engineer New York, NY: $343,400 - $392,000 for Sr. Staff AI Engineer Richmond, VA: $286,200 - $326,700 for Sr. Staff AI Engineer San Francisco, CA: $343,400 - $392,000 for Sr. Staff AI Engineer San Jose, CA: $343,400 - $392,000 for Sr. Staff AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
Sr. Staff AI Engineer At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. What You'll Do: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, agents and multi-agent workflows, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more. Invent and introduce state-of-the-art foundation model optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. Define and steer the technical AI architecture vision, integrating applied research breakthroughs into production ecosystems with reliability and scale Lead the establishment of AI performance, safety, and transparency standards that guide all model development and deployment company-wide Drive multi-year platform initiatives that unify data, compute and model lifecycle management under and cohesive enterprise AI architecture Mentor senior technical leaders across research, data and engineering disciplines, developing the next generation of Capital One's AI technical leadership Basic Qualifications: Bachelor's Degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 10 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 8 years of experience developing AI and ML algorithms or technologies At least 10 years of experience programming with Python, Go, Scala, CUDA, or Java Preferred Qualifications: Experience architecting AI platforms with tradeoff decisions around cost, latency, throughput and accuracy 9 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience architecting, designing, developing, integrating, delivering, and supporting complex AI systems Demonstrated ability to lead and mentor multiple engineering teams and influence cross-functional stakeholders up to the SVP level Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Experience in building agentic AI systems and agentic workflows Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Recognized industry leader in applied AI or machine learning infrastructure through patents, publications, or open-source leadership Demonstrated experience designing long-term AI infrastructure strategies - balancing cost, scale, ethics and regulatory compliance Experience driving organization-wide adoption of AI safety, alignment and governance standards, collaborating with policy, risk and legal teams Proven ability to shape R&D investment strategy by identifying breakthrough AI capabilities with material business impact Experience right-sizing models, instance counts, and hardware types given requirements (e.g., context length, token inputs, token outputs) Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $314,800 - $359,300 for Sr. Staff AI Engineer McLean, VA: $314,800 - $359,300 for Sr. Staff AI Engineer New York, NY: $343,400 - $392,000 for Sr. Staff AI Engineer Richmond, VA: $286,200 - $326,700 for Sr. Staff AI Engineer San Francisco, CA: $343,400 - $392,000 for Sr. Staff AI Engineer San Jose, CA: $343,400 - $392,000 for Sr. Staff AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
09/23/2026
Full time
Sr. Staff AI Engineer At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. What You'll Do: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, agents and multi-agent workflows, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more. Invent and introduce state-of-the-art foundation model optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. Define and steer the technical AI architecture vision, integrating applied research breakthroughs into production ecosystems with reliability and scale Lead the establishment of AI performance, safety, and transparency standards that guide all model development and deployment company-wide Drive multi-year platform initiatives that unify data, compute and model lifecycle management under and cohesive enterprise AI architecture Mentor senior technical leaders across research, data and engineering disciplines, developing the next generation of Capital One's AI technical leadership Basic Qualifications: Bachelor's Degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 10 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 8 years of experience developing AI and ML algorithms or technologies At least 10 years of experience programming with Python, Go, Scala, CUDA, or Java Preferred Qualifications: Experience architecting AI platforms with tradeoff decisions around cost, latency, throughput and accuracy 9 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience architecting, designing, developing, integrating, delivering, and supporting complex AI systems Demonstrated ability to lead and mentor multiple engineering teams and influence cross-functional stakeholders up to the SVP level Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Experience in building agentic AI systems and agentic workflows Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Recognized industry leader in applied AI or machine learning infrastructure through patents, publications, or open-source leadership Demonstrated experience designing long-term AI infrastructure strategies - balancing cost, scale, ethics and regulatory compliance Experience driving organization-wide adoption of AI safety, alignment and governance standards, collaborating with policy, risk and legal teams Proven ability to shape R&D investment strategy by identifying breakthrough AI capabilities with material business impact Experience right-sizing models, instance counts, and hardware types given requirements (e.g., context length, token inputs, token outputs) Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $314,800 - $359,300 for Sr. Staff AI Engineer McLean, VA: $314,800 - $359,300 for Sr. Staff AI Engineer New York, NY: $343,400 - $392,000 for Sr. Staff AI Engineer Richmond, VA: $286,200 - $326,700 for Sr. Staff AI Engineer San Francisco, CA: $343,400 - $392,000 for Sr. Staff AI Engineer San Jose, CA: $343,400 - $392,000 for Sr. Staff AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
