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Job DescriptionCompany Overview: Copia Power (“Copia”) is an energy transition company committed to developing, constructing, and owning large-scale infrastructure assets in the U.S. Copia is actively developing more than 15 GW of renewable energy generation and storage capacity and 12 GW of data center and industrial load. Copia is backed by Carlyle, one of the world’s largest global investment firms. At Copia, we pride ourselves on a culture where sustainability is at the heart of everything we do. We are dedicated to making a meaningful impact on the environment, and we believe that achieving this goal requires not just hard work but also enjoying the journey. Our team thrives on connectivity, fostering strong relationships across all levels of the organization. Together, we combine passion and playfulness to drive progress and make a difference. Job Description: Copia is seeking a Sr. Manager, High Voltage Engineering. This role provides technical leadership and project execution oversight across utility-scale solar photovoltaic (PV) projects, battery energy storage systems (BESS), combustion turbine plants, and load-served data center campus developments. The ideal candidate will be responsible for ensuring high-voltage (HV) engineering decisions are consistently aligned, managing engineering consultants and contractors, and driving creative solutions for substations and interconnection facilities. This is a hybrid position, and we are seeking candidates who will work out of our Salt Lake City, UT, Portland, OR, Washington DC, or Dana Point, CA locations. The Sr. Manager, High Voltage Engineering will report directly to the Director, High Voltage Engineering. This is an individual contributor role, working alongside the Engineering, Procurement & Construction (EPC), and Development team members. Key Responsibilities: High Voltage Project Execution: •Develop HV work scopes and technical contract exhibits. •Manage engineering consultants and EPC contractors to produce construction drawings and supporting materials. •Oversee technical project due diligence and design reviews. •Coordinate feedback from internal stakeholders and Owner’s Engineering consultants. •Support commissioning activities and resolve technical issues at operating sites. •Conduct site visits and QA/QC checks as needed. High Voltage Project Development: •Develop HV strategies for substations and interconnection facilities across PV, BESS, data centers, and combustion turbine projects. •Provide high-level conceptual designs and guide consultants to detailed solutions. •Support budget, schedule, and technical inputs for development and acquisition projects. •Value engineer HV designs for reliability and cost efficiency. •Assist Development, Project Management, and Commercial Execution teams with budget and schedule inputs. •Develop and implement technical solutions to region-specific requirements. •Write and review specifications for HV equipment. Growth & Leadership: •Contribute to process improvement initiatives for safe, high-quality project delivery. •Stay current on HV technology trends and emerging vendor solutions. •Collaborate closely with Development, Procurement, and Execution teams. •Mentor future team members as the HV group grows. What We Look For: •True subject matter expertise in high-voltage substations and interconnection systems. •Broad understanding of plant-level electrical design to inform HV decisions. •Strong problem-solving, decisiveness, and workload management skills. •Curiosity and genuine passion for high-voltage engineering and clean energy. •Collaborative, adaptable, and able to influence internal teams and consultants effectively. •Comfortable working in a fast-paced environment while building scalable engineering processes. •Ability to communicate effectively in verbal and written correspondence. •Highly driven with problem-solving abilities, integrity, and strong work ethic. •Proactive mindset with the ability to thrive in a fast-paced, dynamic environment. •Ability to work effectively within a rapidly changing organization. •Demonstrated collaborative partnerships with peers, management, and vendors. •Resourcefulness and polite persistence. Minimum Qualifications: •10+ years of experience in HV substation and/or transmission line design and/or construction. •10+ years of project management, consulting, or project engineering experience. •Professional Engineering license preferred. •Bachelor’s degree preferred •Experience managing third-party consultants, vendors, and internal stakeholders. •Proficient with MS Office Suite; experience with Procore or similar platforms preferred. •Ability to work in the Copia Office (Salt Lake City, UT, Portland, OR, Washington DC, or Dana Point, CA) a minimum of 3 days per week. •Ability to travel up to 25%. •Applicants must be authorized to work in the United States without employer sponsorship. We are partnering with select search firms for this role and are not accepting inquiries or candidates from additional third-party agencies or recruiters.Our Benefits: We work hard to embrace diversity and inclusion and encourage everyone at Copia to bring their authentic selves to work every day. We offer flexible work hours and generous benefits to all of our employees that include: - Medical, Dental & Vision coverage with no premiums- Company contribution to 401(k) plans - Annual bonus eligibility - Unlimited Paid Time Off (PTO)- Paid company holidays- Wellness and cell phone credits - Life and AD&D Insurance - Employee Resource Groups (ERGs) for community and support- Opportunities for professional development to grow and thrive within the company About Copia: Copia Power (“Copia”), is a wholly owned portfolio company of the global investment firm, The Carlyle Group. Copia’s platform is focused on developing, owning, and operating utility-scale sustainable infrastructure in the United States. We value diversity and are committed to creating an inclusive environment for all employees. For more information, visit . At Copia, we value diversity and are an equal opportunity employer by choice. We consider all qualified applicants equally for employment & do not discriminate on the basis of race, color, national origin, ancestry, citizenship status, protected veteran status, religion, physical or mental disability, marital status, sex, sexual orientation, gender identity or expression, age, or any other basis protected by law, ordinance, or regulation. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job DescriptionSteerBridge Strategies is a CVE-Verified Service-Disabled, Veteran-Owned Small Business (SDVOSB) delivering a broad spectrum of professional services to the U.S. Government and private sector. Backed by decades of hands-on experience in federal acquisition and procurement, we provide agile, best-in-class commercial solutions that drive mission success. Our strength lies in our people—especially the veterans whose leadership, discipline, and dedication shape everything we do. At SteerBridge, we don’t just hire talent—we empower it, creating meaningful career paths for those who have served and those who share our commitment to excellence. We are seeking a qualified Fire Protection Engineer (DoD/VA Focus) to oversee on-site infrastructure upgrades to Washington, DC Veterans Affairs Medical Centers. This role involves close coordination with architects, engineers, contractors, and VA staff to manage schedules, ensure code compliance, and maintain quality and safety standards throughout the project lifecycle. You’ll support the implementation of healthcare-related renovations and new construction in a live VA medical environment, helping bridge technical disciplines and federal project requirements.Benefits • Health insurance, • Dental insurance, • Vision insurance, • Life Insurance, • 401(k) Retirement Plan with matching, • Paid Time Off, • Paid Federal HolidaysRequired Skills, • Bachelor’s degree in Fire Protection Engineering or related field (Mechanical, Civil, or Electrical Engineering) from an accredited university. Licensed professional preferred., • Minimum of 6 years of progressively responsible experience in fire protection engineering, life safety systems design, or code compliance for commercial or federal building projects., • Proven experience in managing complex, new construction or major renovation commercial building projects, and experience in managing simultaneous construction and/or building projects., • Ability to work independently or in groups and in a stressful environment., • Experience interfacing with GSA Public Building Services, A&E firms, construction contractors and trades, and building suppliers., • Expert knowledge and understanding of construction methodology., • Experience developing government project cost estimates and tracking of project costs., • Ability to develop project schedules in MS Project and/or Primavera., • Ability to direct facility construction activities and lead construction progress meetings., • Experience on commercial projects that included a large percentage of systems furniture., • Ability to collaborate effectively with Subject Matter Expert/s (SME) to conduct needs analysis, develop project requirements/objectives, and design preliminary space plans., • Proven experience in written and verbal communications. Highly skilled in detail-oriented documentation, with significant abilities in communicating with Government Project Managers, SME, and development team members in tactful manner, as well as providing written feedback to Government Project Manager and clients., • Proven experience coordinating a project management team and providing appropriate levels of support, coaching and influence.

Job Description Company Overview Librium Group is a global advisory firm dedicated to helping the U.S. government solve its most complex infrastructure, resilience, and mission-dominance challenges. We partner with federal agencies, developers, and investors to design, structure, and deliver transformative projects-from early-stage concept through financial close. With experience supporting over $12 billion in transactions, 3.7 gigawatts of generation capacity, and projects across 22 countries, we bring clarity, rigor, and precision to every engagement. Our work spans critical infrastructure, national security, and major programs shaping how the nation delivers resilient, future-ready energy and installation solutions. At Librium Group, culture is paramount; we are a team built on trust, humility, excellence, and an unwavering commitment to client success. You will work side-by-side with teammates both on client site and virtually each day, in an environment grounded in support, purpose, and collaboration. Position Summary Librium Group is seeking a technically strong, mission-driven Electrical Engineer to support high-impact energy, resilience, and infrastructure programs across the Department of the Navy and broader federal clients. This role is ideal for an engineer who thrives at the intersection of technical analysis, project development, and strategic advisory work, and who is excited to contribute to transformative energy projects with national-level visibility. You will support energy resilience assessments, electrical system evaluations, microgrid and distributed energy resource planning, utility coordination, and major infrastructure modernization initiatives. The position offers the opportunity to work on meaningful projects; ranging from installation energy resilience to innovative public–private partnerships; while advancing your career within a fast-paced consulting environment. This role will require on-site client support at the Washington Navy Yard (Washington, DC) 2–4 days per week, with additional remote work flexibility. Minimal travel may be required at client discretion. Key Responsibilities Technical Analysis & Engineering Support • Conduct electrical system assessments, load studies, and power flow analysis to support infrastructure modernization and resilience planning., • Support development of microgrid, renewable energy, and distributed energy concepts; including interconnection, control architecture, and technical feasibility., • Review engineering drawings, specifications, and designs for alignment with mission requirements, codes, and industry standards., • Assist in shaping technical solutions for large-scale energy and infrastructure programs., • Support the development of planning documents, engineering reports, technical memoranda, and decision briefs., • Coordinate with utilities, developers, and engineering teams to inform system design and project execution., • Engage directly with senior military, civilian, and contractor personnel across Navy installations and headquarters organizations., • Serve as a trusted technical resource within multi-disciplinary project teams., • Communicate complex technical concepts clearly and concisely to non-technical stakeholders. Required • Bachelor's degree in Electrical Engineering or related field., • 3–7 years of experience in electrical engineering, facility power systems, utility infrastructure, energy projects, or related disciplines., • Understanding of electrical distribution systems, load analysis, and system reliability considerations., • Strong analytical, problem-solving, and technical writing skills., • Ability to operate in a dynamic, fast-paced environment with evolving requirements., • Professional presence, sound judgment, and the ability to work with high-level government stakeholders., • Interest in mission-driven work supporting national security and energy resilience., • Masters Degree in Electrical Engineering or related field., • Experience with Navy, DoD, federal energy programs, or installation energy management., • Familiarity with microgrids, renewable energy integration, distributed energy, and energy resilience planning., • Knowledge of UFCs, IEEE standards, and federal engineering processes., • Professional Engineer (PE) license or progress toward licensure. At Librium Group, you will be part of a collaborative, high-trust team that values both technical excellence and personal integrity. You'll work closely with colleagues who are deeply committed to supporting one another-and to solving the nation's most critical infrastructure, energy, and security challenges. In this role, you will: • Support high-impact energy and resilience programs central to national mission readiness., • Work directly with senior Navy leadership on projects of strategic significance., • Grow through meaningful, hands-on experience in a firm that invests in your professional development., • Join a culture that prioritizes people, teamwork, and purpose. Job Posted by ApplicantPro

Job Description Company Overview Librium Group is a global advisory firm dedicated to helping the U.S. government solve its most complex infrastructure, resilience, and mission-dominance challenges. We partner with federal agencies, developers, and investors to design, structure, and deliver transformative projects-from early-stage concept through financial close. With experience supporting over $12 billion in transactions, 3.7 gigawatts of generation capacity, and projects across 22 countries, we bring clarity, rigor, and precision to every engagement. Our work spans critical infrastructure, national security, and major programs shaping how the nation delivers resilient, future-ready energy and installation solutions. At Librium Group, culture is paramount; we are a team built on trust, humility, excellence, and an unwavering commitment to client success. You will work side-by-side with teammates both on client site and virtually each day, in an environment grounded in support, purpose, and collaboration. Position Summary Librium Group is seeking a technically strong, mission-driven Power Engineer to support high-impact energy, resilience, and infrastructure programs across the Department of the Navy and broader federal clients. This role is ideal for an engineer who thrives at the intersection of electrical system analysis, power distribution planning, and strategic advisory work-and who is excited to support transformative energy initiatives with national visibility. In this role, you will perform power system studies, support installation-level energy resilience assessments, evaluate distribution and substation infrastructure, and contribute to the development of microgrids and advanced distributed energy resources. You will help shape large-scale modernization efforts and ensure that critical federal facilities have reliable, mission-aligned energy solutions. This position requires on-site client support at the Washington Navy Yard (Washington, DC) 2–4 days per week, with flexibility for remote work. Occasional travel may be required based on client needs. Key Responsibilities Technical Power System Analysis • Conduct power flow studies, load modeling, fault analysis, arc flash assessments, and reliability evaluations., • Assess distribution systems, substations, protective relays, and switching schemes for modernization and mission resilience., • Support technical development of microgrids, distributed energy resources, and renewable energy integration., • Review engineering designs, drawings, and specifications for compliance with codes, standards, and installation requirements., • Support technical scoping and solution development for major energy and infrastructure programs., • Develop engineering reports, planning documents, technical memoranda, and decision briefings., • Coordinate with utilities, developers, and engineering partners to inform system design, interconnection, and execution strategies., • Engage directly with senior military, civilian, and contractor personnel., • Serve as a trusted technical advisor within multi-disciplinary teams., • Communicate complex electrical engineering concepts clearly to non-technical audiences. Required • Bachelor's degree in Electrical Engineering, Power Engineering, or related field., • 3–7 years of experience in power systems engineering, utility infrastructure, or energy resilience projects., • Strong understanding of electrical distribution systems, protection schemes, and reliability fundamentals., • Experience with power system analysis tools (e.g., ETAP, SKM, CYME, or similar)., • Strong analytical, troubleshooting, and technical writing skills., • Ability to thrive in a fast-paced environment with evolving client requirements., • Professional presence and sound judgment when interacting with senior government stakeholders., • Interest in mission-driven work supporting federal energy and national security goals., • Master's degree in Electrical or Power Engineering., • Experience with DoD, Navy, or federal energy programs., • Knowledge of microgrid design, DER integration, and installation-level resilience planning., • Familiarity with UFCs, IEEE standards, NEC, and federal engineering processes., • Licensed Professional Engineer (PE) or progress toward licensure. In this role, you will: • Support critical energy and resilience initiatives with real operational impact., • Work directly with senior Navy leadership on strategic infrastructure programs., • Grow through hands-on engineering and advisory experience across complex federal projects., • Be part of a culture centered on people, teamwork, and meaningful mission support. Job Posted by ApplicantPro

Job Description STR's Systems Development Division (SDD) is dedicated to developing advanced technology solutions that provide asymmetric advantages within the information domain. We handle the entire lifecycle of solutions, from conceptualization and architecture refinement to implementation and deployment, leveraging novel technologies to deliver first-of-a-kind systems. Our current projects include programs for airborne and space sensors and advanced operations enabled by multi-function, multi-modal capabilities. As a Software Engineer in SDD, you will design, develop, integrate, and test software for complex systems, primarily focusing on air and space applications. You will work in a high-profile, fast-paced, yet structured development environment alongside a diverse and talented team. You will utilize your software engineering skills to implement solutions for DoD programs, aiming for the highest standards of quality, maintainability, and reuse. What you will do: • Collaborate closely with a small, dedicated team to develop innovative solutions to complex problems, • Execute assigned tasks and report overall status to project leadership, • Develop and test novel software solutions spanning research, development, and deployed production systems, • Identify creative and innovative approaches to open-ended problems, • Deliver high-quality software in a rapid-paced team environment, • Develop operational prototypes for experimentation and performance analysis, • This position requires the ability to obtain a Top Secret (TS) security clearance, for which U.S. citizenship is required by the U.S. Government., • Proficient in Python, C, C++, or similar high-level programming languages, • Possess a working knowledge of software testing and evaluation best practices, • Experience developing software with GNU/Linux toolchains using open-source software, • Strong team player with excellent communication skills, • Active Security Clearance, • Experience in building, deploying, and maintaining robust and stable software, • Experience writing software within a large multi-party codebase, • Familiarity with multi-threaded or multi-core real-time operating concepts STR is committed to creating a collaborative learning environment that supports deep technical understanding and recognizes the contributions and achievements of all team members. Our work is challenging, and we go home at night knowing that we pushed the envelope of technology and made the world safer. STR is not just any company. Our people, culture, and attitude along with their unique set of skills, experiences, and perspectives put us on a trajectory to change the world. We can't do it alone, though - we need fellow trailblazers. If you are one, join our team and help to keep our society safe! Visit us at for more info. STR is an equal opportunity employer. We are fully dedicated to hiring the most qualified candidate regardless of race, color, religion, sex (including gender identity, sexual orientation and pregnancy), marital status, national origin, age, veteran status, disability, genetic information or any other characteristic protected by federal, state or local laws. If you need a reasonable accommodation for any portion of the employment process, email us at and provide your contact info. Pursuant to applicable federal law and regulations, positions at STR require employees to obtain national security clearances and satisfy the requirements for compliance with export control and other applicable laws.

Job Description The Systems Development Division (SDD) delivers technology advantage into users' hands by delivering capabilities focused on end-customer needs that function in operationally relevant environments and timeframes. SDD considers the entire lifecycle of the solution, from conceptualization and architecting, through development, to deployment, while leveraging novel technologies to deliver first-of-a-kind systems. Current efforts include programs for airborne and space RF as well as advanced testing enabled by multi-function, multi-modal capabilities. SDD is seeking a Senior Embedded Software Engineer to support the design, development, and implementation of real-time processing solutions in software for advanced multi-function Radar systems. You will collaborate with fellow researchers and engineers on multi-disciplinary teams to develop innovative solutions related to exploration and demonstration of Radar and EW/RF convergence. In this role, you will design and implement digital signal processing over the complete signal processing chain for radar applications in various operational environments. You will conduct performance analysis through simulations and real-world testing to validate and optimize the products you create. Since the systems SDD develops are deployed in operationally relevant environments, the products you develop need to meet standards of quality, maintainability, and reuse. This position will offer the opportunity for technical growth, design, analysis, development, testing, and fielding of capabilities. The successful candidate will have demonstrated contributions in areas such as: radar, electronic warfare, digital signal processing, systems engineering, and test & evaluation. This position requires skills in working with multi-disciplinary teams, awareness of relevant technologies, and interest in developing and delivering systems in tight time-frames. Strong interpersonal, communication, and technical skills are required. Applicants are expected to be self-motivated, detail oriented and have a demonstrated ability to effectively communicate. What you will do: • Support development of innovative radar/EW systems through implementation of digital signal processing (DSP), • Collaborate with cross-functional teams to understand and/or develop system requirements and specifications, • Design and implement signal processing and software solutions, • Conduct performance analysis through simulations and real-world testing to validate and optimize system performance, • Prepare documentation, design specifications, test plans, and reports, • This position requires an Active SECRET security clearance with eligibility to obtain a Top Secret (TS) security clearance, for which U.S. citizenship is needed by the U.S. Government, • Demonstrated experience implementing real-time signal processing solutions in C++ (C++17 or later), • Working knowledge of digital signal processing, • Familiarity with embedded development; experience with Xilinx MPSoC, and RFSoC platforms a plus, • Experience in preparing and delivering briefings, familiarity with the execution of technical reviews (SRRs, PDRs, CDRs, TIMS), • Applicable understanding of and experience with Radar systems and their principles of design, development, requirements verification, test planning, test execution, and data analysis, • Experience with algorithm implementation in software for real time systems, especially radar and/or remote sensing, • CUDA experience preferred, • Proficiency in radar simulation tools (MATLAB), • Capable of working in a team environment and interacting with team members to ensure effective communication and alignment including mentoring of junior engineers, • Active Top Secret clearance, • Applicable knowledge of target detection, • Bachelor's, Master's or PhD in Electrical Engineering, Aerospace Engineering, Applied Mathematics, Physics, Radar Systems, or related technical field Pay Information Full-Time Salary Range: $134,000 - $184,000 The salary range listed is based on external market data. Offers are based on factors, such as but not limited to, the candidate's experience, education, training, key skills/critical skills, security clearances, and prevailing market and business conditions. STR is a growing technology company with locations near Boston, MA, Arlington, VA, near Dayton, OH, Melbourne, FL, and Carlsbad, CA. We specialize in advanced research and development for defense, intelligence, and national security in: cyber; next generation sensors, radar, sonar, communications, and electronic warfare; and artificial intelligence algorithms and analytics to make sense of the complexity that is exploding around us. STR is committed to creating a collaborative learning environment that supports deep technical understanding and recognizes the contributions and achievements of all team members. Our work is challenging, and we go home at night knowing that we pushed the envelope of technology and made the world safer. STR is not just any company. Our people, culture, and attitude along with their unique set of skills, experiences, and perspectives put us on a trajectory to change the world. We can't do it alone, though - we need fellow trailblazers. If you are one, join our team and help to keep our society safe! Visit us at for more info. STR is an equal opportunity employer. We are fully dedicated to hiring the most qualified candidate regardless of race, color, religion, sex (including gender identity, sexual orientation and pregnancy), marital status, national origin, age, veteran status, disability, genetic information or any other characteristic protected by federal, state or local laws. If you need a reasonable accommodation for any portion of the employment process, email us at and provide your contact info. Pursuant to applicable federal law and regulations, positions at STR require employees to obtain national security clearances and satisfy the requirements for compliance with export control and other applicable laws.

Job Description Senior Structural Engineer - Alexandria, VA Our client is seeking a candidate who has experience working on high-profile projects in a collaborative, multi-disciplinary, Architectural and Engineering office environment. This hybrid position is open to all our regional office locations, including our headquarters in upstate NY (outside of Buffalo). Responsibilities: • Analyze, design, and computer modeling of structures., • Coordination with architectural, mechanical, electrical, and civil disciplines to complete projects., • Production of plans, details, and specifications., • Review of shop drawings, construction administration., • Full responsibility for interpreting, organizing, executing, and coordinating assignments., • Plans and develop engineering projects concerned with unique or controversial complexities that have an important impact on major company programs., • The exploration of a subject area, definition of scope, selection of areas for investigation, and development of novel concepts., • Act as a technical liaison to individuals within and outside the organization, with responsibility to act independently regarding technical matters in the individuals field., • Analysis and design of building/facility structural systems/components in steel, concrete, masonry, wood, etc., and taking projects from concept phase to final design, and through construction., • Participate in project, construction, client, and team meetings., • Minimal travel to project sites, local and non-local., • Conducting facility assessments, writing technical reports, and editing material specifications., • Must have a Bachelor of Science Degree in Structural or Civil Engineering with a focus on Structural Engineering., • 10- 20 years of experience in Structural Engineering is required., • PE Required, Structural Engineering (SE) license required., • Working knowledge of structural engineering software (Bentley RAM products), 3d modeling software (REVIT and AutoCAD), Microsoft Excel, and BlueBeam., • Must demonstrate outstanding communication skills, problem-solving skills, group/independent work, time management, technical writing, technical knowledge, technical drawings knowledge, structural codes, and standard knowledge (ASCE 7, AISC 360, ACI 318, etc.)., • Design experience in a wide range of structural materials and project types.

Job Description Position Summary: ISI is looking for an experienced construction manager with and Electrical Engineering degree and background, with expertise in the construction industry to provide Owner's Representative construction management services to a Department of Defense (DoD) client. The engineer will work to support the Federal client on ongoing construction projects of various sizes and complexity. The engineer will provide a wide range of analytical and planning, design, and construction management support services to assist the client. The position will support more senior government project managers and fellow contractor project managers, who will work as part of a larger design/construction program. The ability to lead and work as a team AND work independently are critical. ISI is seeking an individual who will be a clear communicator, takes initiative and embraces project ownership. Responsibilities: • Candidate’s primary role will be to support the engineering and design efforts related to pre-construction. Candidate’s secondary role will be to support project managers who manage awarded construction projects., • Support Government acquisition efforts for both A/E services and Construction projects by coordinating efforts across Government working groups., • Provide Subject Matter Expertise, especially with managing and overseeing studies and designs for new construction, renovations, and improvements to real property facilities, including MEP utility systems., • Provide engineering support and analysis to the Government in their management of awarded study and design contracts. Review the A/E contractor’s work and provide written reports of the findings to the Government., • Proactively assists the Government in conducting site evaluations, field surveys, and site visits to determine constructability and code compliance. Develops draft scopes of work, validation of requirements, and participates in pre-bid conferences. Participates in risk analysis walk throughs and value engineering efforts., • Proactively supports the Government’s development of technical requirements, scopes of work, cost estimate analysis and schedules for A/E services, to include studies, reports, and drawings review. Provides reviews, analysis, professional opinions, ideas, alternate solutions and recommendations., • Conduct design technical reviews from initial concept to 100% design drawings. Track and maintain submittal review process., • Independently schedules, leads, and participates in weekly project progress meetings and monthly program progress meetings to evaluate schedule progress, identify departures from the accepted baseline schedule, and evaluate risk to long-term project and program health. Assesses schedule risk and recommends mitigation strategies., • Works independently to track down requirements and data from other engineers, project managers, or clients in a professional manner with complete and on time submissions., • The position maintains construction administration data in Excel, web based software and files to be aggregated and used as metrics and briefing tools for senior leadership., • Regularly prepares and presents project status briefings, develops, and maintains performance matrixes, prepares well-written technical reports. Prepares written and oral reports to Government leadership and program managers. Regularly briefs senior leadership. Minimum Qualifications, Knowledge, Skills, and Abilities: Required: • Pentagon WHS experience is highly sought after. Physical Requirements: This job operates in a professional office environment. The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. • Flexibility related to work hours as project demands arise., • Occasionally required to move 5 – 15 pounds., • Must be able to remain in a stationary computer position for extended periods of time., • Monday through Friday, Normal business hours 8:00 am – 5:00 pm

Job Description About ISI Professional Services: ISI Professional Services is a full-service consulting firm with over 30 years of experience providing tailored workforce and project management solutions across the U.S. We specialize in Program and Project Management, Construction Management, Real Estate Advisory, Acquisition Management, Logistics, Leadership Development, and more. At ISI, our people are the heart of our success. We prioritize engagement, professional growth, and a strong culture to ensure every team member feels empowered to thrive. As a Service-Disabled Veteran Owned Small Business (SDVOSB), we are proud to support Veterans by creating opportunities for them to succeed. Join ISI and be part of a team making a meaningful impact—delivering excellence and exceeding expectations every step of the way. Position Summary: ISI is looking for an experienced Mechanical Engineer with expertise in the construction industry to provide Owner's Representative construction management services to a DoD client. The Mechanical Engineer will support a DOD client looking to manage $300M+ in ongoing construction projects of various sizes and complexity. The Mechanical Engineer will provide a wide range of mechanical engineering expertise and construction management support services to assist the DOD client. The position will support more senior government project managers and fellow contractor project managers, who will work as part of a larger construction program. The ability to lead and work as a team AND work independently are critical. ISI is seeking an individual who will be a clear communicator, takes initiative and embraces project ownership. Essential Job Functions • Candidate’s primary role will be to support the engineering and design efforts related to pre-construction. Candidate’s secondary role will be to support project managers who manage awarded construction projects., • Support Government acquisition efforts for both A/E services and Construction projects by coordinating efforts across Government working groups., • Provide Subject Matter Expertise, especially with managing and overseeing studies and designs for new construction, renovations and improvements to real property facilities, including MEP utility systems., • Provide engineering support and analysis to the Government in their management of awarded study and design contracts. Review the A/E contractor’s work and provide written reports of the findings to the Government., • Proactively assists the Government in conducting site evaluations, field surveys, and site visits to determine constructability and code compliance. Develops draft scopes of work, validation of requirements, and participates in pre-bid conferences. Participates in risk analysis walk throughs and value engineering efforts., • Proactively supports the Government’s development of technical requirements, scopes of work, cost estimate analysis and schedules for A/E services, to include studies, reports and drawings review. Provides reviews, analysis, professional opinions, ideas, alternate solutions and recommendations., • Conduct design technical reviews from initial concept to 100% design drawings. Track and maintain submittal review process., • Independently schedules, leads, and participates in weekly project progress meetings and monthly program progress meetings to evaluate schedule progress, identify departures from the accepted baseline schedule, and evaluate risk to long-term project and program health. Assesses schedule risk and recommends mitigation strategies., • Works independently to track down requirements and data from other engineers, project managers, or clients in a professional manner with complete and on time submissions., • The position maintains construction administration data in Excel, web based software and files to be aggregated and used as metrics and briefing tools for senior leadership. Required Qualification: BS in Mechanical Engineer with 10+ years of mechanical engineering experience OR 15+ years of experience in the design/construction or operations of chillers, cooling towers, controls, pumps, fans, air handling equipment, and heat exchangers WITH experience in working with construction management and projects greater than 250,000 square feet AND a Professional Engineer (PE) License. • Must be a U.S. Citizen. This job operates in a professional office environment. The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. • Flexibility related to work hours as project demands arise., • Occasionally required to move 5 – 15 pounds., • Must be able to remain in a stationary computer position for extended periods of time., • Must be able to walk and stand for extended periods, up to 2 miles per day between buildings.

Job DescriptionDescription: DeepSig Inc. is a venture backed and product centric technology startup building revolutionary wireless processing software solutions using cutting edge machine learning techniques to transform baseband processing, wireless sensing, and other key wireless applications. We are seeking a Sr. GPU RAN Engineer to drive innovation and performance optimization in next-generation wireless networks. This role combines expertise in GPU/CPU computing with advanced wireless system design, focusing on 5G/6G RAN development, signal processing, and performance benchmarking. Key Responsibilities: • Design, develop, and optimize real-time, latency-sensitive applications on CPU/GPU platforms for 5G/6G RAN systems., • Develop, debug, and test signal processing algorithms at the PHY/MAC layer., • Benchmark, profile, and optimize radio protocol performance across GPU/CPU/NIC platforms., • Build and maintain tools/frameworks for performance verification, regression analysis, and bottleneck detection., • Collaborate with cross-functional teams (hardware, firmware, and software) to integrate and optimize RAN solutions., • Research and apply AI/ML techniques for 6G RAN innovation., • BS/MS/PhD in Computer Science, Electrical Engineering, or related field., • 8–10+ years in software/hardware development, with focus on wireless communications and/or cellular networks., • Advanced skills in C/C++, Python, and shell scripting., • Strong knowledge of GPU, CPU, or DSP architectures, memory, I/O, and networking interfaces., • Experience with SoC firmware and system integration for eNodeB/gNodeB or terminal products., • Proficiency with CUDA or similar frameworks highly preferred., • Proven track record in performance analysis, optimization, and benchmarking., • Strong analytical and debugging skills., • 6G AI/ML RAN research experience is highly desirable, • Ability to visualize and analyze large-scale performance data., • Collaborative mindset, comfortable working across hardware, firmware, and software disciplines., • Passion for learning and applying new GPU advancements to next-gen radio stacks. WORKING AT DEEPSIG DeepSig is growing its technical team while cultivating a collaborative, agile, and fun small-team culture. We value creativity, knowledge sharing, and employee growth, and we encourage participation in scientific publications, conferences, and open-source software. We offer competitive salaries and benefits, an employee stock option grant program, an environment where we are excited to be transforming and disrupting how signal processing is done with AI/ML, a welcoming and inclusive environment, a flexible schedule, and a great work / life balance. DeepSig is an equal-opportunity employer and does not discriminate based on race, ethnicity, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability. We are dedicated to cultivating an inclusive, diverse, and engaging workplace where individuals feel fulfilled, inspired, and motivated. We value the unique perspectives that our team brings. Requirements:

Job Description Job Description: LS Technologies, a subsidiary of Tetra Tech company, is currently seeking a Voice Systems Engineer. The selected candidate will be part of a dynamic, growing, cross-functional, and geographically distributed team to support the Federal Aviation Administration (FAA) in upgrading the National Airspace System (NAS) infrastructure. This is a remote position that may require with occasional overnight travel to our office in Washington, DC and/or other locations as needed to support customer activities. Position is a full time, exempt position. Responsibilities: The selected candidate will be responsible for design, development, modification, and evaluation of complex Air-to-Ground (A/G) radio, voice switch, voice control systems (VCS), voice recording and protocol conversion systems used to provide operational Air Traffic Control (ATC) communications. The candidate will be instrumental in system engineering and advanced research and development associated with designing products during pre-delivery design, integration, and acceptance. Products principally involved are digital radio and voice systems installed in FAA facilities that are equipped with IP technology to enable voice and data communication over a secure network (VoIP), which will enable air-ground communications between pilots and air traffic controllers in facilities across the U.S. Duties will include technical responsibility for planning and executing technical programs, projects, or phases of projects to include customer interface, requirements development, design reviews, and technical interchanges, and all aspects of prototype/product system design, development, demonstration, evaluation, installation, acceptance, and O&M support. Qualifications: Required: • Must be able to obtain a US Government Public Trust clearance., • Bachelor's degree in electrical engineering, Aerospace Engineering, System Engineering, Computer Engineering, or another relevant field, • A minimum of 5 years' experience developing and implementing real-time ED-137 compliant UHF/VHF radio and voice switching system architectures., • Proficient with Microsoft Office suite including Word, Excel, PowerPoint, and Outlook., • Ability to assist in the development of implementation and transition plans for telecommunications networks and systems, radio, and voice systems., • Ability to use and maintain engineering tools, including hardware/software products., • Ability to apply customer service, engineering, electronics installation, and computer skills to assist in performing field implementation work., • Ability to establish and maintain effective work relationships with supervisors, co-workers, employees, and customer field force personnel., • Ability to define problems, collect data, establish facts, and draw valid conclusions., • Ability to research, collate and present information effectively, in both verbal and written forms., • Ability to multi-task and perform with evolving priorities., • Ability to maintain confidentiality and manage sensitive issues with discretion and sound judgment., • Master's degree in electrical engineering, Aerospace Engineering, Computer Engineering, or another relevant field, • Experience leading development and integration of prototype and/or production RF mission systems., • Strong oral, written and presentation skills., • Experience with developing performance-based specifications and statements of work, • Experience in working on a multi-disciplinary team and generated technical procedures for testing, deploying, integrating, and commissioning RF mission systems., • Preferably East Coast Travel • 10 - 30%, • Physical requirements:, • Extended Computer Use: Regular and prolonged periods of working at a computer., • Background check: Must be able to pass government public trust investigation. About LS Technologies At LS Technologies, we are enhancing our nation's critical infrastructure by providing engineering, technical, and professional services to Federal Government agencies. The quality of our work, deep technical expertise, and genuine passion for public service sets us apart. As a growing organization, we are expanding our benefits and communication with our employees, offering add-ons that speak to our growing employees' needs. Join us in delivering high-quality solutions and shaping the future of safety and innovation for our government partners. EEO Commitment LS Technologies, a Tetra Tech Company, is proud to be an Equal Opportunity Employer. All qualified candidates will be considered without regard to race, color, religion, national origin, age, disability, sex, marital or familial status, status as a protected veteran, or any other characteristic protected by law. Tetra Tech is a VEVRAA federal contractor, and we request priority referrals of veterans. We invite applications from all interested parties. Requesting Accommodation LS Technologies is committed to providing equal employment opportunities for people with disabilities or religious observances, including reasonable accommodation when needed. If you are hired by LS Technologies and require accommodation to perform the essential functions of your role, you will be asked to participate in our reasonable accommodation process. Accommodation made to facilitate the recruiting process is not a guarantee of future or continued accommodation once hired. If you would like to be considered for employment opportunities with LS Technologies and have accommodation needs for a disability or religious observance, please send us an email at or speak with your recruiter. Compensation (Pay Bands) Salary at LST is determined by a wide array of factors, such as (but not limited to) education, certifications, knowledge, skills, competencies, experience, location, and clearance level, as well as contract-specific affordability and organizational requirements and applicable employment laws. Please note that the salary information is a general guideline only. The projected compensation range for this position is provided within the posting and is based on full-time, 40-hour/week status. Part-time staff receive compensation at an hourly rate. The estimated minimum and maximum displayed represent the broadest range for this position (including high geographic and high clearance requirements) and are just one component of LST's total compensation package for employees. ** In compliance with local laws, LS Technologies presents this reasonable compensation range as a guideline for roles in California, Colorado, New York, or Washington D.C." Benefits offered to all employees who work 30+ hours per week: Medical, Dental, Vision, Life Insurance, Short-Term Disability, Long-Term Disability, 401(k) match, Flexible Spending Accounts, EAP, Education Assistance, Parental Leave, Annual Leave, and Holidays. About Tetra Tech: Tetra Tech is the leader in water, environment, and sustainable infrastructure, providing high-end consulting and engineering services for projects worldwide. With 30,000 employees working together, Tetra Tech provides clear solutions to complex problems by Leading with Science® to address the entire water cycle, protect and restore the environment, design sustainable and resilient infrastructure, and support the clean energy transition. Explore our open positions at . Follow us on social media to learn more about our people, culture, and opportunities: LinkedIn: TetraTechCareers X (Twitter): @TetraTechJobs #ZR Job Posted by ApplicantPro

Senior Lead AI Engineer (AI Foundations, LLM Core and Agentic AI) Overview: 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. In this role, you will: * 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, 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, Nemo Guardrails, PyTorch, and more. * Invent and introduce state-of-the-art LLM 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. The Ideal Candidate: * You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. * Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. * You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. * You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. * You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: * Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 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 4 years of experience developing AI and ML algorithms or technologies * At least 6 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: * 7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) * Experience designing, developing, integrating, delivering, and supporting complex AI systems * Demonstrated ability to lead and mentor an engineering team and influence cross-functional stakeholders * Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, 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 * 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 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: $225,400 - $257,200 for Sr. Lead AI Engineer McLean, VA: $225,400 - $257,200 for Sr. Lead AI Engineer New York, NY: $245,900 - $280,600 for Sr. Lead AI Engineer San Francisco, CA: $245,900 - $280,600 for Sr. Lead AI Engineer San Jose, CA: $245,900 - $280,600 for Sr. Lead 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 4901-4920; 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 1-800-304-9102 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 AI Engineer (LLM Core) Overview: 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. In this role, you will: * 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, 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, Nemo Guardrails, PyTorch, and more. * Invent and introduce state-of-the-art LLM 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. The Ideal Candidate: * You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. * Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. * You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. * You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. * You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: * Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 3 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 1 year of experience developing AI and ML algorithms or technologies * At least 3 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: * 4 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) * Experience developing, delivering, and supporting AI services * Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, 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 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: $158,600 - $181,000 for Senior AI Engineer McLean, VA: $158,600 - $181,000 for Senior AI Engineer New York, NY: $173,000 - $197,400 for Senior AI Engineer San Francisco, CA: $173,000 - $197,400 for Senior AI Engineer San Jose, CA: $173,000 - $197,400 for Senior 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 4901-4920; 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 1-800-304-9102 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 Manager, Software Engineering, Machine Learning - Capital One Software (Remote) Ever since our first credit card customer in 1994, Capital One has recognized that technology and data can enable even large companies to be innovative and personalized. As one of the first large enterprises to go all-in on the public cloud, Capital One needed to build cloud and data management tools that didn’t exist in the marketplace to enable us to operate at scale in the cloud. And in 2022, we publicly announced Capital One Software and brought our first B2B software solution, Slingshot, to market. Building on Capital One’s pioneering adoption of modern cloud and data capabilities, Capital One Software is helping accelerate the data management journey at scale for businesses operating in the cloud. If you think of the kind of challenges that companies face – things like data publishing, data consumption, data governance, and infrastructure management – we’ve built tools to address these various needs along the way. Capital One Software will continue to explore where we can bring our solutions to market to help other businesses address these same needs going forward. As a Capital One Machine Learning Engineer (MLE), you'll be part of software team dedicated to producing machine learning applications and systems at scale. You’ll participate in the detailed technical design, development, and implementation of machine learning applications using existing and emerging technology platforms. You’ll focus on machine learning architectural design, develop and review model and application code, and ensure high availability and performance of our machine learning applications. You'll have the opportunity to continuously learn and apply the latest innovations and best practices in machine learning engineering. What you’ll do in the role: The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: * Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams. * Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation). * Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment. * Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications. * Retrain, maintain, and monitor models in production. * Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale. * Construct optimized data pipelines to feed ML models. * Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code. * Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI. * Use programming languages like Python, Scala, or Java. Basic Qualifications: * Bachelor’s degree * At least 8 years of experience designing and building data-intensive solutions using distributed computing (Internship experience does not apply) * At least 4 years of experience programming with Python, Scala, or Java * At least 3 years of experience building, scaling, and optimizing ML systems * At least 2 years of experience leading teams developing ML solutions * At least 4 years of people management experience. Preferred Qualifications: * Master's or doctoral degree in computer science, electrical engineering, mathematics, or a similar field * 4+ years of on-the-job experience with an industry recognized ML framework such as scikit-learn, PyTorch, Dask, Spark, or TensorFlow * 3+ years of experience developing performant, resilient, and maintainable code * 3+ years of experience with data gathering and preparation for ML models * Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform * 3+ years of experience building production-ready data pipelines that feed ML models * Ability to communicate complex technical concepts clearly to a variety of audiences * ML industry impact through conference presentations, papers, blog posts, open source contributions, or patents 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): $204,900 - $233,800 for Sr. Mgr, Machine Learning Engineering Richmond, VA: $204,900 - $233,800 for Sr. Mgr, Machine Learning Engineering 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 4901-4920; 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 1-800-304-9102 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 AI Engineer (AI Foundations) Overview: 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. In this role, you will: * 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, 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, Nemo Guardrails, PyTorch, and more. * Invent and introduce state-of-the-art LLM 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. The Ideal Candidate: * You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. * Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. * You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. * You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. * You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: * Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 3 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 1 year of experience developing AI and ML algorithms or technologies * At least 3 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: * 4 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) * Experience developing, delivering, and supporting AI services * Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, 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 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: $158,600 - $181,000 for Senior AI Engineer McLean, VA: $158,600 - $181,000 for Senior AI Engineer New York, NY: $173,000 - $197,400 for Senior AI Engineer San Francisco, CA: $173,000 - $197,400 for Senior AI Engineer San Jose, CA: $173,000 - $197,400 for Senior 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 4901-4920; 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 1-800-304-9102 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 AI Engineer (Gen AI Platform Services, Agentic Systems) Overview: 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. In this role, you will: * 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, 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, Nemo Guardrails, PyTorch, and more. * Invent and introduce state-of-the-art LLM 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. The Ideal Candidate: * You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. * Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. * You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. * You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. * You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: * Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 3 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 1 year of experience developing AI and ML algorithms or technologies * At least 3 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: * 4 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) * Experience developing, delivering, and supporting AI services * Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, 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 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: $158,600 - $181,000 for Senior AI Engineer McLean, VA: $158,600 - $181,000 for Senior AI Engineer New York, NY: $173,000 - $197,400 for Senior AI Engineer San Francisco, CA: $173,000 - $197,400 for Senior AI Engineer San Jose, CA: $173,000 - $197,400 for Senior 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 4901-4920; 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 1-800-304-9102 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 Lead AI Engineer (Gen AI Platform Services) Overview: 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. In this role, you will: * 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, 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, Nemo Guardrails, PyTorch, and more. * Invent and introduce state-of-the-art LLM 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. The Ideal Candidate: * You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. * Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. * You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. * You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. * You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: * Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 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 4 years of experience developing AI and ML algorithms or technologies * At least 6 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: * 7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) * Experience designing, developing, integrating, delivering, and supporting complex AI systems * Demonstrated ability to lead and mentor an engineering team and influence cross-functional stakeholders * Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, 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 * 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 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: $225,400 - $257,200 for Sr. Lead AI Engineer McLean, VA: $225,400 - $257,200 for Sr. Lead AI Engineer New York, NY: $245,900 - $280,600 for Sr. Lead AI Engineer San Francisco, CA: $245,900 - $280,600 for Sr. Lead AI Engineer San Jose, CA: $245,900 - $280,600 for Sr. Lead 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 4901-4920; 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 1-800-304-9102 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 Lead AI Engineer (LLM Customization and Finetuning) Overview: 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. In this role, you will: * 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, 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, Nemo Guardrails, PyTorch, and more. * Invent and introduce state-of-the-art LLM 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. The Ideal Candidate: * You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. * Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. * You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. * You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. * You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: * Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 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 4 years of experience developing AI and ML algorithms or technologies * At least 6 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: * 7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) * Experience designing, developing, integrating, delivering, and supporting complex AI systems * Demonstrated ability to lead and mentor an engineering team and influence cross-functional stakeholders * Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, 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 * 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 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. McLean, VA: $225,400 - $257,200 for Sr. Lead AI Engineer Cambridge, MA: $225,400 - $257,200 for Sr. Lead AI Engineer New York, NY: $245,900 - $280,600 for Sr. Lead AI Engineer San Francisco, CA: $245,900 - $280,600 for Sr. Lead AI Engineer San Jose, CA: $245,900 - $280,600 for Sr. Lead 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 4901-4920; 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 1-800-304-9102 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 Lead AI Engineer (AI Foundations, LLM Core) Overview: 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. In this role, you will: * 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, 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, Nemo Guardrails, PyTorch, and more. * Invent and introduce state-of-the-art LLM 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. The Ideal Candidate: * You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. * Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. * You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. * You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. * You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: * Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 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 4 years of experience developing AI and ML algorithms or technologies * At least 6 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: * 7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) * Experience designing, developing, integrating, delivering, and supporting complex AI systems * Demonstrated ability to lead and mentor an engineering team and influence cross-functional stakeholders * Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, 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 * 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 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: $225,400 - $257,200 for Sr. Lead AI Engineer McLean, VA: $225,400 - $257,200 for Sr. Lead AI Engineer New York, NY: $245,900 - $280,600 for Sr. Lead AI Engineer San Francisco, CA: $245,900 - $280,600 for Sr. Lead AI Engineer San Jose, CA: $245,900 - $280,600 for Sr. Lead 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 4901-4920; 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 1-800-304-9102 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 Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You’ll participate in the detailed technical design, development, and implementation of machine learning applications using existing and emerging technology platforms. You’ll focus on machine learning architectural design, develop and review model and application code, and ensure high availability and performance of our machine learning applications. You'll have the opportunity to continuously learn and apply the latest innovations and best practices in machine learning engineering. What you’ll do in the role: * The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: * Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams. * Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation). * Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment. * Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications. * Retrain, maintain, and monitor models in production. * Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale. * Construct optimized data pipelines to feed ML models. * Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code. * Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI. * Use programming languages like Python, Scala, or Java. Basic Qualifications: * Bachelor’s degree * At least 8 years of experience designing and building data-intensive solutions using distributed computing (Internship experience does not apply) * At least 4 years of experience programming with Python, Scala, or Java * At least 3 years of experience building, scaling, and optimizing ML systems * At least 2 years of experience leading teams developing ML solutions Preferred Qualifications: * Master's or doctoral degree in computer science, electrical engineering, mathematics, or a similar field * Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform * 4+ years of on-the-job experience with an industry recognized ML framework such as scikit-learn, PyTorch, Dask, Spark, or TensorFlow * 3+ years of experience developing performant, resilient, and maintainable code * 3+ years of experience with data gathering and preparation for ML models * 3+ years of people management experience * ML industry impact through conference presentations, papers, blog posts, open source contributions, or patents * 3+ years of experience building production-ready data pipelines that feed ML models * Ability to communicate complex technical concepts clearly to a variety of audiences 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. McLean, VA: $225,400 - $257,200 for Sr. Lead Machine Learning Engineer New York, NY: $245,900 - $280,600 for Sr. Lead Machine Learning 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 4901-4920; 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 1-800-304-9102 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 Lead AI Engineer (AI Foundations) Overview: 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. In this role, you will: * 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, 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, Nemo Guardrails, PyTorch, and more. * Invent and introduce state-of-the-art LLM 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. The Ideal Candidate: * You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. * Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. * You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. * You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. * You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: * Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 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 4 years of experience developing AI and ML algorithms or technologies * At least 6 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: * 7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) * Experience designing, developing, integrating, delivering, and supporting complex AI systems * Demonstrated ability to lead and mentor an engineering team and influence cross-functional stakeholders * Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, 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 * 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 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: $225,400 - $257,200 for Sr. Lead AI Engineer McLean, VA: $225,400 - $257,200 for Sr. Lead AI Engineer New York, NY: $245,900 - $280,600 for Sr. Lead AI Engineer San Francisco, CA: $245,900 - $280,600 for Sr. Lead AI Engineer San Jose, CA: $245,900 - $280,600 for Sr. Lead 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 4901-4920; 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 1-800-304-9102 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).

Duties • You will lead submarine and submersible design, systems engineering, and integration across all technical disciplines., • You will establish and enforce technical policies, standards, and certification requirements for all submarine systems., • You will direct research, development, testing, and evaluation to ensure submarines meet mission and safety requirements., • You will provide technical authority and expert advice to Navy leadership on submarine engineering and design matters., • You will oversee Technical Warrant Holders, Chief Engineers, and shipyard engineering teams to ensure design integrity., • You will manage technical risk, coordinate with Navy program offices, and resolve complex engineering challenges., • You will develop and implement Submarine Safety (SUBSAFE) and Level I Material Control Program requirements across the Navy enterprise.Requirements Conditions of employment • Must be a US Citizen., • Must participate in the direct deposit pay program., • New employees to the Department of the Navy will be required to successfully pass the E-Verify employment verification check. To learn more about E-Verify, including your rights and responsibilities, visit e-verify.gov, • You will be required to complete ethics orientation within three months of appointment and submit a Public Financial Disclosure Report, OGE-278e within 30 days of appointment., • You will be required to sign the Reassignment Rights and Obligations Agreement as a condition of appointment into the SES in accordance with DoD Directive 1403.03., • Within the Department of Defense (DoD), the appointment of retired military members within 180 days immediately following retirement date to a civilian position is subject to the provisions of 5 United States Code 3326., • May be required to successfully complete a 1-year SES probationary period., • Complete a Declaration for Federal Employment to determine your suitability for Federal employment, at the time requested by the agency., • If you are a male applicant born after December 31, 1959, certify that you have registered with the Selective Service System or are exempt from having to do so., • You will be required to obtain and maintain an interim and/or final Top Secret/SCI security clearance prior to entrance on duty. Failure to obtain and maintain the required level of clearance may result in the withdrawal of a job offer or removal., • Successful completion of a pre-employment drug test (including marijuana) is required. A tentative offer of employment will be rescinded if you fail to report to the drug test appointment or fail the test. You will be subject to random testing., • This position is covered under the Defense Acquisition Workforce Improvement Act (DAWIA). Certification in the Acquisition Functional Area and category assigned to the position is required within established category timeframes., • This position is a designated Critical Acquisition Position (CAP). You must sign a three-year tenure agreement prior to assuming the position unless a tenure waiver is approved., • This position is considered Key/Emergency-Essential. You will be required to provide immediate and continuing support to ensure the success of combat operations or the availability of combat-essential systems., • This is a Mission Essential position. You will be required to ensure organization or facility continuity of operations and/or completion of tasks that are considered essential to the mission designated by a local or command decision., • This position may require travel from normal duty station to CONUS and OCONUS and may include remote or isolated sites. You must be able to travel on military and commercial aircraft for extended periods of time., • Supervisors in the executive branch have a heightened personal responsibility for advancing government ethics. You will be required to review the 14 General Principles of Ethical Conduct at 5 CFR 2635.101.Qualifications Candidates should be committed to improving the efficiency of the Federal government, passionate about the ideals of our American republic, and committed to upholding the rule of law and the United States Constitution. Candidates will not be hired based on their race, sex, color, religion, or national origin. To meet the minimum qualification requirements for this position, you must show that you possess the Executive Core Qualifications (ECQ) and Technical Qualifications (TQ) related to this position within your resume - NOT TO EXCEED 2 PAGES. Resumes over the 2-page limit, will be disqualified. Your resume should include examples of experience, education, and accomplishments applicable to the qualification(s). If your resume does not reflect demonstrated evidence of these qualifications, you may not receive consideration for the position. There is NO requirement to prepare a narrative statement specifically addressing the Executive Core Qualifications (ECQs) or the Technical Qualifications (TQs). TECHNICAL QUALIFICATIONS (TQs): Your resume should demonstrate accomplishments that would satisfy the technical qualifications. TQ#1. In-depth mastery and experience of planning, organizational development, engineering management, system development, and systems engineering. This level of knowledge is applied to plan and direct the development and application of new technology in the broad area of submarine and submersible systems engineering and design. TQ#2. In-depth knowledge and experience in the design and operation of complex systems and interface controls associated with systems and ship integration. EXECUTIVE CORE QUALIFICATIONS (ECQs): In addition to the Technical Qualification Requirements listed above, all new entrants into the Senior Executive Service (SES) under a career appointment will be assessed for executive competency against the following five mandatory ECQs. If your 2-page resume does not reflect demonstrated evidence of the ECQs and TQs, you may not receive further consideration for the position. There are five ECQs: ECQ 1: Commitment to the Rule of Law and the Principles of the American Founding - This core qualification requires a demonstrated knowledge of the American system of government, commitment to uphold the Constitution and the rule of law, and commitment to serve the American people. ECQ 2: Driving Efficiency - This core qualification involves the demonstrated ability to strategically and efficiently manage resources, budget effectively, cut wasteful spending, and pursue efficiency through process and technological upgrades. ECQ 3: Merit and Competence - This core qualification involves the demonstrated knowledge, ability and technical competence to effectively and reliably produce work that is of exceptional quality. ECQ 4: Leading People - This core qualification involves the demonstrated ability to lead and inspire a group toward meeting the organization's vision, mission, and goals, and to drive a high-performance, high-accountability culture. This includes, when necessary, the ability to lead people through change and to hold individuals accountable. ECQ 5: Achieving Results - This core qualification involves the demonstrated ability to achieve both individual and organizational results, and to align results to stated goals from superiors. Note: If you are a member of the SES or have been certified through successful participation in an OPM approved SES Candidate Development Program (SESCDP), or have SES reinstatement eligibility, you do not need to respond to the ECQs. Instead, you should attach proof (e.g., SF-50, Certification by OPM's SES Qualifications Review Board (QRB)) of your eligibility for noncompetitive appointment to the SES. Experience refers to paid and unpaid experience, including volunteer work done through National Service programs (e.g., professional, philanthropic, religious, spiritual, community, student, social). Volunteer work helps build critical competencies, knowledge, and skills and can provide valuable training and experience that translates directly to paid employment. Additional qualification information can be found from the following Office of Personnel Management website: Education Applicants must meet at least one of the following positive education qualifications requirements of the Office of Personnel Management (OPM) Qualifications Standards Manual: A. Degree: A professional engineering degree from an ABET-accredited college or university; OR a degree with curriculum in differential and integral calculus, with additional courses in five of the following seven areas of engineering science or physics: (a) statics, dynamics; (b) strength of materials (stress-strain relationships); (c) fluid mechanics, hydraulics; (d) thermodynamics; (e) electrical fields and circuits; (f) nature and properties of materials (relating particle and aggregate structure to properties); and (g) any other comparable area of fundamental engineering science or physics, such as optics, heat transfer, soil mechanics; or electronics; OR B. Combination of Education and Experience: A combination of education and experience that furnished (1) a thorough knowledge of the physical and mathematical sciences underlying professional engineering; and (2) a good understanding, both theoretical and practical, of the engineering sciences and techniques and their applications to one of the branches of engineering. The adequacy of such background must be demonstrated by one of the following: (I) Professional registration or licensure -- Current registration as an Engineer Intern (EI), Engineer in Training (EIT), or licensure as a Professional Engineer (PE) by any State, the District of Columbia, Guam, or Puerto Rico. Absent other means of qualifying under this standard, those applicants who achieved such registration by means other than written test (e.g., State grandfather or eminence provisions) are eligible only for positions that are within or closely related to the specialty field of their registration. For example, an applicant who attains registration through a State Board's eminence provision as a manufacturing engineer typically would be rated eligible only for manufacturing engineering positions; or (II) Written Test -- Evidence of having successfully passed the Fundamentals of Engineering (FE) examination or any other written test required for professional registration by an engineering licensure board in the various States, the District of Columbia, Guam, and Puerto Rico; or (III) Specified academic courses -- Successful completion of at least 60 semester hours of courses in the physical, mathematical, and engineering sciences and that included the courses specified in the basic requirements under paragraph A. The courses must be fully acceptable toward meeting the requirements of an engineering program as described in paragraph A; or (IV) Related curriculum -- Successful completion of a curriculum leading to a bachelor's degree in an appropriate scientific field, e.g., engineering technology, physics, chemistry, architecture, computer science, mathematics, hydrology, or geology, may be accepted in lieu of a bachelor's degree in engineering, provided the applicant has had at least 1 year of professional engineering experience acquired under professional engineering supervision and guidance. Ordinarily there should be either an established plan of intensive training to develop professional engineering competence, or several years of prior professional engineering-type experience, e.g., in interdisciplinary positions. (The above examples of related curricula are not all inclusive.) An advanced degree of Master's or Ph.D. in one of the educational fields listed above is highly desirable. Additional information This position is in the Senior Executive Service (SES), a small elite group of top government leaders. SES members possess a diverse portfolio of experiences including strong skills to lead across organizations. As an executive, you will influence the direction of innovation and transformation of the federal government and lead the next generation of public servants. Veteran's preference does not apply to the Senior Executive Service. This position is not covered by the Department of Defense Priority Placement Program. Additional vacancies may be filled by this announcement. Certain incentives (such as Recruitment, Relocation or Student Loan Repayment) may be authorized to eligible selectees. A relocation incentive is generally a single payment intended to offset some of the relocation costs experienced by the selectee. A relocation incentive may be authorized. A tentative offer of employment will be rescinded if the selectee fails to meet the pre-employment requirements, including failure to report to any of the scheduled appointments. Federal annuitant information: The selection of an annuitant is subject to the Department of Defense and Department of the Navy policy on the employment of annuitants. Policy information may be found at: . A career SES appointment made under this authority does not guarantee that you will be eligible to transfer to another career SES appointment outside of the DoD without the need for you to compete. Other Federal agencies may require you to submit ECQs to OPM's QRB prior to your appointment in that agency. OPM must authorize any employment offers made to current or former (within the last 5 years) political Schedule A, Schedule C, or Non-career SES employees in the executive branch. If you are currently, or have been within the last 5 years, a political Schedule A, Schedule C, or Noncareer SES employee in the executive branch, you must disclose that to the Human Resources Office. There are three key documents that contain important information about your rights and obligations. Please read and retain these documents: Noncriminal Justice Applicant's Privacy Rights , for those who undergo an FBI fingerprint-based criminal history record check for personnel vetting, which includes Rap Back,

Senior Lead AI Engineer Overview: 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. In this role, you will: * 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, 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, Nemo Guardrails, PyTorch, and more. * Invent and introduce state-of-the-art LLM 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. The Ideal Candidate: * You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. * Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. * You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. * You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. * You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: * Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 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 4 years of experience developing AI and ML algorithms or technologies * At least 6 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: * 7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) * Experience designing, developing, integrating, delivering, and supporting complex AI systems * Demonstrated ability to lead and mentor an engineering team and influence cross-functional stakeholders * Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, 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 * 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 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. McLean, VA: $225,400 - $257,200 for Sr. Lead AI Engineer New York, NY: $245,900 - $280,600 for Sr. Lead AI Engineer San Francisco, CA: $245,900 - $280,600 for Sr. Lead AI Engineer San Jose, CA: $245,900 - $280,600 for Sr. Lead 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 4901-4920; 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 1-800-304-9102 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 AI Engineer (AI Foundations, LLM Core and Agentic AI) Overview: 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. In this role, you will: * 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, 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, Nemo Guardrails, PyTorch, and more. * Invent and introduce state-of-the-art LLM 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. The Ideal Candidate: * You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. * Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. * You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. * You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. * You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: * Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 3 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 1 year of experience developing AI and ML algorithms or technologies * At least 3 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: * 4 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) * Experience developing, delivering, and supporting AI services * Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, 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 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: $158,600 - $181,000 for Senior AI Engineer McLean, VA: $158,600 - $181,000 for Senior AI Engineer New York, NY: $173,000 - $197,400 for Senior AI Engineer San Francisco, CA: $173,000 - $197,400 for Senior AI Engineer San Jose, CA: $173,000 - $197,400 for Senior 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 4901-4920; 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 1-800-304-9102 or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Job DescriptionNextgen Federal Systems is looking to hire a Senior Operational Test and Evaluation Engineer: Responsible for planning, conducting, and analyzing tests of homeland defense technology systems to ensure operational effectiveness, reliability, and suitability throughout their lifecycle. This role focuses on evaluating systems designed to secure U.S. borders and facilitate the lawful flow of commerce, ensuring compliance with DHS policies and operational requirements in realistic environments.Responsibilities: • Test Planning and Strategy Development: Design, develop, and direct operational test plans for homeland defense technologies, such as border surveillance systems, non-intrusive inspection equipment, and trade facilitation systems. Ensure adherence to DHS Acquisition Management Directive (MD 102-01) and CBP’s Operational Requirements Document (ORD) processes., • Test and Evaluation Coordination: Develop and coordinate Test and Evaluation Master Plans (TEMPs), test concepts, and detailed test plans aligned with DHS Directive 026-06 (Test and Evaluation) and CBP mission needs. Collaborate with CBP’s Office of Acquisition and operational stakeholders to align testing with mission objectives., • System Performance Evaluation: Collect and analyze test data to assess the performance, reliability, and suitability of systems like integrated fixed towers, remote video surveillance systems, and cargo scanning technologies in operational border environments., • Documentation and Reporting: Maintain critical documentation, including test plans, reports, and recommendations for system improvements. Prepare Operational Test Reports (OTRs) and briefings for CBP leadership and DHS Science and Technology Directorate (S&T) to support acquisition decisions., • Stakeholder Collaboration: Work with CBP officers, engineers, program managers, and DHS components to ensure effective testing. Engage with external partners, such as other DHS components or interagency partners, to align testing with broader homeland security objectives., • Test Event Leadership: Execute and chair test events, including integrated test planning meetings, Deficiency Review Boards, Safety Review Boards, and Operational Readiness Reviews. Participate in critical design reviews and other meetings to support OT&E execution for border security and trade systems., • Compliance and Risk Management: Ensure testing adheres to DHS policies, including the DHS Systems Engineering Life Cycle (SELC) and the DHS Risk Management Framework. Address risks related to border security operations and trade facilitation.Required Qualifications:, • U.S. Citizen with the ability to obtain and retain a DHS Suitability/CBP Background Investigation., • Bachelor’s degree in Systems Engineering, Electrical Engineering, Computer Science, or a related field., • 3 - 5 years (Journeyman); 10 + years (Senior) relevant experience in test design, data analysis, and statistical methods for evaluating complex systems., • Hands-on experience with homeland defense technology systems, such as border surveillance, non-intrusive inspection technologies, or trade compliance systems., • Strong analytical skills for evaluating system performance and excellent written and verbal communication skills to provide actionable recommendations., • Able to work fully onsite based on client needs.Desired Qualifications:, • Active CBP Background Investigation or an Active Top Secret clearance., • In-depth understanding of DHS policies, including MD 102-01 (Acquisition Management), DHS Directive 026-06 (Test and Evaluation), and the DHS SELC framework., • Proficiency in modeling and simulation tools, digital engineering, or data management platforms to support testing., • Familiarity with data analytics tools for processing large datasets from border security operations or trade compliance systems., • Experience leading teams, and leading or participating in working groups or cross-agency technical initiatives.

Job DescriptionSaronic Technologies is a leader in revolutionizing defense autonomy at sea, dedicated to developing state-of-the-art solutions that enhance maritime operations for the Department of Defense (DoD) through autonomous and intelligent platforms. Saronic Technologies is a leader in defense autonomy at sea. We’re seeking a Platform Security Engineer to secure the cloud/edge where vessels, operators, and customers meet. You’ll own identity and access patterns, secrets and key management, secure network posture, and policy-as-code guardrails—working across AWS (including GovCloud), Terraform infrastructure, and service code to deliver trustworthy, auditable systems. Senior Engineers: 3+ years securing production cloud platforms (identity, secrets/KMS, network posture), preferably in autonomy, robotics, aerospace, or defense. Staff Engineers: 8+ years including technical leadership across secure-by-default platform modules, short-lived credential issuance, and cross-account policy design; demonstrated ownership from design through operational rollout.Key Responsibilities • Design, develop, and maintain secure-by-default infrastructure on, • AWS using Terraform (ALB/OIDC, IAM, KMS, Secrets Manager, Route53, VPC/SGs)., • Standardize OIDC at the edge (ALB/ingress) for internal and external applications; define scopes, claims, and token lifecycles., • Own secrets and key management: KMS key policies, rotation schedules, cross-account access, and automated issuance for services and tools., • Enforce IMDSv2 required, least-privilege IAM roles, and tight security groups across modules; add CI/policy checks to prevent regressions., • Design secure protocols/APIs for service↔service and boat↔cloud communication (mTLS/TLS, certificate issuance/rotation, revocation)., • Manage short-lived credentials used by fleet/overlay services; implement rotation, auditing, and incident response runbooks., • Prefer service-mediated S3 access over broad pre-signed URLs; codify bucket policies, logging, and access boundaries., • Build centralized, tamper-evident logging and audit trails; integrate detections and metrics to validate control effectiveness., • Perform threat modeling and security reviews; document patterns and drive adoption via reusable modules and guides., • Troubleshoot complex security issues in production; lead post-incident reviews and drive remediation to closure., • Stay current on cloud security best practices, especially for defense/government environments.Required Qualifications:, • Bachelor’s or Master’s degree in Computer Science, Software/Computer/Electrical Engineering, or a related field., • 3+ years building on AWS with Terraform (ALB/ELB, IAM, KMS, Secrets Manager, Route53, VPC/SGs)., • Strong knowledge of cryptographic and IAM fundamentals (key policies, rotation, certificates, OIDC/OAuth2)., • Demonstrated experience enforcing IMDSv2, least-privilege roles, and network controls at scale., • Experience designing secure protocols/APIs and integrating auth into service code (e.g., Go/Rust/TypeScript)., • Proven ability to perform threat modeling and conduct design/code security reviews., • Excellent problem-solving and communication skills; effective collaboration across platform, embedded, and field teams., • This role requires the ability to obtain and maintain a security clearancePreferred Qualifications:, • Experience in AWS GovCloud, multi-account landing zones, and cross-account KMS/Secrets patterns, • Familiarity with fleet/overlay VPN access control and short-lived credential issuance, • Policy-as-code guardrails (e.g., OPA/Conftest, Terraform validations), drift detection, and CI integration, • Centralized logging/SIEM and cloud threat detection (e.g., CloudTrail, GuardDuty) with audit readiness, • PKI/CA management and, ideally, hardware roots of trust (TPM/secure elements) at the edge

Job DescriptionSalary: About FusionICS, LLC At Fusion,we specialize in mission-critical engineering, infrastructure, and IT solutions for federal and defense organizations. As a Service-Disabled Veteran-Owned Small Business (SDVOSB), we bring a commitment to excellence, security, and innovation to every project. Our team of elite engineers and technical experts is dedicated topowering the future of secure facilities by providing cutting-edge engineering solutions. When you join Fusion, you become part of a company that valuestechnical expertise, collaboration, and a commitment to national security. We look forward towelcoming you to our team and working together to support mission-critical operations across government and defense installations. Position Summary: FusionICS is seeking a skilled Electrical Engineer to support federal infrastructure and secure facility construction projects in the National Capital Region. This role requires in-depth expertise in designing, reviewing, and overseeing the installation of electrical systems in compliance with DoD, UFC, and NEC standards. The ideal candidate will bring technical depth in power distribution, lighting, grounding, and control systems, along with experience in high-security, mission-critical environments. Key Responsibilities: • Design, review, and approve electrical drawings and specifications for secure construction projects., • Oversee contractor execution of electrical work, ensuring adherence to design, budget, schedule, and safety., • Conduct field inspections and troubleshoot electrical system issues., • Ensure compliance with NEC, UFC, DoD, and other relevant codes and regulations., • Coordinate with architects, civil, and mechanical engineers during planning and implementation phases., • Support commissioning, acceptance testing, and red-line/as-built documentation., • Interface with federal clients, providing technical input and updates., • Participate in meetings, submittal reviews, and RFIs. Education & Experience: • Bachelors degree in Electrical Engineering from an ABET-accredited institution., • Minimum 5 years of experience in electrical engineering, including design and field work., • Strong knowledge of NEC, UFC, and government/federal construction specifications., • Proficient with AutoCAD, Revit, and/or BIM software., • Familiarity with power distribution, grounding, lighting, emergency systems, and controls., • Ability to produce sealed/stamped engineering drawings preferred., • Excellent communication and coordination skills., • Ability to work safely on active construction sites and wear required PPE. Preferred Qualifications: • PE (Professional Engineer) license or EIT with intention to obtain PE., • Experience with SCIF/SAPF or high-security electrical systems., • Background in commissioning secure DoD/NIC projects or mission-critical infrastructure., • Active Top Secret (TS) clearance required. Compensation: • Base Salary: Competitive, based on experience and security clearance level., • Medical & Retirement Plans: Eligible to participate in medical insurance and 401(k) retirement plans with a 4% company match., • Paid Time Off: Employees accrue 120 hours (15 days) of vacation per year., • Sick Leave: Employees receive 5 days of sick leave per year., • Ability to work in high-security environments requiring strict access controls and security protocols., • Work in indoor and outdoor environments, including near high-voltage switchgear and substations., • Requires lifting/carrying up to 50 lbs, climbing ladders, and working in confined spaces., • Occasional travel to other sites or campuses as needed.

Job DescriptionSystems Engineer Location: Bethesda, MD Type: Full Time Min. Experience: Experienced: Salary Range: $100,000-$120,000 USD per year Advanced Technology & Research Corporation () is seeking to fill the following full-time permanent position. Based in Maryland and incorporated in 1973, ATR is an equal-opportunity engineering company with a solid reputation in various engineering disciplines for the government and Fortune 500 commercial customers. Salary for the position is competitive according to qualifications. ATR offers an attractive comprehensive benefits package, including Medical/Dental insurances, free basic life/ADD, and long-term and short-term disability insurances, 401(k) plan, educational assistance program, and paid time off. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, national origin, age, disability or veteran status. PRINCIPAL DUTIES & RESPONSIBILITIES: The successful applicant will join ATR's Engineering Services Division, working as a team member at our government client site, located at the Naval Surface Warfare Center, Carderock, MD, involved in development and execution of the US Navy’s Underwater Electromagnetic (UEM) Signatures Silencing program. Other duties include, but not limited to: • Navy Surface Ships and Submarine signatures measurement systems and fleet support, • Magnetic Silencing systems hardware & software integration, • Minimum Bachelor of Science in Electrical or Computer Engineering, • 5+ years of Systems Engineer Experience or Master’s Degree in Systems Engineering or other Education/Certification, • Experience with the Navy or other DoD laboratories is a plusSKILLS & ABILITIES REQUIREMENTS:, • Proficiency in systems engineering such as Spiral Design plus Requirements and Systems Documentation., • Some experience in analog & digital circuit design., • Experience with test equipment such as oscilloscopes, logic analyzers, time-domain reflectometers, DVM, function generators, etc., • Experience with software tools such as Python, pSPICE, LabVIEW, C/C++, or MATLAB, • Proficient with Power Point, MS Word & Excel, • Ability to effectively communicate orally and in writing Powered by JazzHR KHeaCnrQbA Company DescriptionAdvanced Technology & Research Corporation () is seeking to fill the following full-time permanent position. Based in Maryland and incorporated in 1973, ATR is an equal-opportunity engineering company with a solid reputation in various engineering disciplines for the government and Fortune 500 commercial customers. Salary for the position is competitive according to qualifications. ATR offers an attractive comprehensive benefits package, including Medical/Dental insurances, free basic life/ADD, and long-term and short-term disability insurances, 401(k) plan, educational assistance program, paid time off All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, national origin, age, disability or veteran status.Advanced Technology & Research Corporation () is seeking to fill the following full-time permanent position. Based in Maryland and incorporated in 1973, ATR is an equal-opportunity engineering company with a solid reputation in various engineering disciplines for the government and Fortune 500 commercial customers.\r\n\r\nSalary for the position is competitive according to qualifications. ATR offers an attractive comprehensive benefits package, including Medical/Dental insurances, free basic life/ADD, and long-term and short-term disability insurances, 401(k) plan, educational assistance program, paid time off\r\n\r\nAll qualified applicants will receive consideration for employment without regard to race, color, religion, gender, national origin, age, disability or veteran status.

Job Description Principal RUST Software Engineer Washington DC Full-time, Onsite (No Remote Options) 9/80 Work Week (Every Other Friday Off) Department of Defense (DoD) Secret Clearance REQUIRED $200,000 to $250,000 + Bonus + Full Benefits Summary Seeking a Principal RUST Software Engineer to serve as a key technical leader in the strategic evolution of our mission-critical systems. This role is not just about writing code; it is about providing expert-level architectural direction and driving organizational change. The Principal Engineer will be instrumental in setting the direction and strategy for product and infrastructure development by leading the full-scale adoption and deployment of the RUST programming language across multiple embedded product lines. You will be responsible for defining the RUST engineering roadmap, ensuring code is secure and memory-safe, and mentoring senior and junior engineers on complex implementation patterns for our C5 and Cyber Solution Centers. The selected candidate will operate as a key team member on a Scrum team, shaping the future of secure, high-assurance software in the aerospace and defense sector. Key Responsibilities • RUST Strategic Leadership: Define, champion, and drive the comprehensive strategy and roadmap for RUST adoption, deployment, and integration across multiple mission-critical product lines, ensuring technical alignment with long-term business goals., • Architectural Guidance & Standards: Establish and enforce principal-level best practices, design patterns, and architectural standards for memory-safe and efficient usage of RUST, especially in resource-constrained embedded environments., • Technical Mentorship & Development: Serve as the primary technical mentor, subject matter expert, and ultimate reviewer for RUST code and complex design artifacts, significantly elevating the skill set of the broader engineering team., • Legacy Modernization: Guide and execute the complex integration or conversion of significant legacy C/C++ software components into production-ready RUST solutions, prioritizing security and performance parity., • High-Assurance Software Development: Apply expert-level computer science, engineering, and mathematical analysis concepts to develop high-assurance, maintainable software (primarily in RUST, C/C++, and Python) for embedded real-time operating systems (e.g., VxWorks, Linux, Integrity)., • Advanced Troubleshooting: Investigate, diagnose, and resolve the root causes of the most complex and systemic technical issues (e.g., race conditions, memory issues) at the system level, often requiring independent judgment and cross-functional team leadership., • SDLC Ownership: Drive and participate in all phases of the Software Development Life Cycle, including leading requirements decomposition, system-level design review, implementation, hardware-software integration, and formal test verification., • Stakeholder Collaboration: Collaborate closely with program managers, systems engineers, and external stakeholders to translate high-level mission requirements into prioritized, scoped, and actionable technical tasks., • Develop software test plans, procedures, and relevant technical documentation, ensuring compliance with industry and customer standards (e.g., NSA Type 1, DO-178). Qualifications • Experience: A minimum of 12 years of progressive, prior relevant experience, demonstrating increasing technical responsibility, with a Bachelor's degree in Computer Engineering, Electrical Engineering, Computer Science, or a related field (or 10 years with a Graduate Degree, or 16 years without a degree)., • RUST Expertise: 5+ years of hands-on experience developing production RUST software, including a demonstrated deep architectural understanding of the language, its concurrency models, and its application to high-assurance systems., • C/C++ Interoperability: Ex

Job DescriptionLeading architectural and engineering firm is adding a Senior Electrical Engineer to their Washington, D.C. team! Responsibilities: • Prepare scope, budget and staff after assessing project requirements, • Using preliminary review and client meetings, write scope of work for electrical design, • Prepare engineering studies/schematic design for new systems, • Analyze operation of existing systems, • Effectively present complex engineering analysis to owner/design team, • Troubleshoot/resolve complex problems (conflicting design requirements, code issues, varying design options, and difficult condition requirements), • Research non-routine code issues and obtain interpretations from code officials, • Prepare sketches/system schematics for complicated design tasks, • Prepare calculations including whole building electrical loads, lighting calculations, power distribution calculations, equipment sizing, editing specification sections, and creating punch lists, • Review contractor cost estimates after preparing engineering opinion of probable cost for electrical systems, • Develop/maintain a thorough understanding of construction processes and delivery methods, • Review drawings/documents for compliance, • Mentor/train junior staff Requirements: • BS or MS degree in electrical engineering, • 12+ years of design experience for a variety of projects (corporate, higher education, or performing arts projects), • Documented experience providing electrical design to an MEP engineering firm or A/E firm, • PE License, • Extensive knowledge of National Fire Protection Association Codes (NFPA), • Understanding of applicable (city, state, federal) requirements/pertinent standards, • Knowledge of IECC, LEED and ASHRAE requirements, • Working knowledge of Revit software, • Familiar with electrical analysis software (SKM, Easy Power), • Knowledge of the current sustainable technologies applicable to the design of commercial electrical systems Salary is commensurate with experience. Successful applicants must be authorized to work in the USA without sponsorship. All qualified applicants will receive consideration for employment without regard to protected veteran status, disability, race, color, religion, sex, sexual orientation, gender identity, or national origin. Please contact Laura Harrison for further information! 517-906-6926

Job Description About ISI Professional Services: ISI Professional Services provides mission-critical expertise across a wide range of functional and operational areas. ISI brings over 30 years of experience providing tailored workforce and project management solutions across the U.S. we specialize in Program and Project Management, Construction Management, Real Estate Advisory, Acquisition Management, Logistics, Leadership Development, and more. At ISI, our people are the heart of our success. We prioritize engagement, professional growth, and a strong culture to succeed together. As a Service-Disabled Veteran Owned Small Business (SDVOSB), we are proud to support Veterans by creating opportunities for them to succeed. Join ISI and be part of a team making a meaningful impact—delivering excellence and exceeding expectations every step of the way. We offer a comprehensive and competitive benefits package. The salary range represents a general guideline as ISI considers several factors when determining compensation to include but not limited to the candidate’s experience, education, skills, and market location of the position. Position Summary: ISI is looking for an experienced Electrical Engineer with expertise in the design and construction industry to provide Owner's Representative design management services to a DoD client. The Electrical Engineer will support a DOD client looking to manage $300M+ in ongoing construction projects of various sizes and complexity. The Electrical Engineer will provide a wide range of electrical engineering expertise and design management support services to assist the DOD client. The position will support more senior government project managers and fellow contractor project managers, who will work as part of a larger construction program. The ability to lead and work as a team AND work independently are critical. ISI is seeking an individual who will be a clear communicator, takes initiative and embraces project ownership. Essential Job Functions • Candidate’s primary role will be to support engineering aspects of pre-construction phase such as planning, engineering studies, design development management, and procurement package development. Candidate’s secondary role will be to support project managers who manage awarded construction projects with RFIs, submittals, and design intent clarification., • Support Government acquisition efforts for both A/E services and Construction projects by coordinating efforts across Government working groups., • Provide Subject Matter Expertise, especially with managing and overseeing studies and designs for new construction, renovations and improvements to real property facilities, including MEP utility systems., • Provide engineering support and analysis to the Government in their management of awarded study and design contracts. Review the A/E contractor’s work and provide written reports of the findings to the Government., • Proactively assists the Government in conducting site evaluations, field surveys, and site visits to determine constructability and code compliance. Develops draft scopes of work, validation of requirements, and participates in pre-bid conferences. Participates in risk analysis walk throughs and value engineering efforts., • Proactively supports the Government’s development of technical requirements, scopes of work, cost estimate analysis and schedules for A/E services, to include studies, reports and drawings review. Provides reviews, analysis, professional opinions, ideas, alternate solutions and recommendations., • Conduct design technical reviews from initial concept to 100% design drawings. Track and maintain submittal review process., • Independently schedules, leads, and participates in weekly project progress meetings and monthly program progress meetings to evaluate schedule progress, identify departures from the accepted baseline schedule, and evaluate risk to long-term project and program health. Assesses schedule risk and recommends mitigation strategies., • Works independently to track down requirements and data from other engineers, project managers, or clients in a professional manner with complete and on time submissions., • The position maintains data in Excel, web based software and files to be aggregated and used as metrics and briefing tools for senior leadership., • Must be a U.S. Citizen., • Must be able to pass and maintain a Public Trust clearance (HSPD-12 fingerprint background check). Physical Requirements: This job operates in a professional office environment. The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. • Flexibility related to work hours as project demands arise., • Occasionally required to move 5 – 15 pounds., • Must be able to remain in a stationary computer position for extended periods of time.

Job Description Senior Electrical Engineer/Designer Location is onsite in Springfield, VA. This is not a remote or hybrid position. PD Power Systems LLC is seeking a Senior Electrical Engineer/Designer responsible for designing electrical and control systems for electrical power generation and distribution systems and equipment. The candidate will work closely with Mechanical Designers and Engineers in integrating controls into the electrical systems. The candidate must be familiar with electrical power generation, distribution, and various control systems to include PLCs, generator digital controls, and human machine interfaces. Experience with 2D CAD is required, experience with 3D CAD is desirable. The position requires close teamwork with other employees in engineering as well as support, both within the company and with subcontractors. Roles and Responsibilities • Prepare, edit and maintain electrical schematics, panel diagrams, cable assembles, and wiring drawings using AutoCAD software., • Create, maintain and troubleshoot PLC systems., • Be able to source components based upon customer requirements and specifications., • Education: 4-year Electrical Engineering degree with 10+ years of hands-on experience. OR, • Experience designing electrical control systems and power generation and distribution systems., • To include prototype builds, production builds, schematic designs, and troubleshooting and diagnosing system issues., • Experience using Microsoft Office (Word, Excel, PowerPoint), problem solving, technical documentation/communication., • Experience with electrical power from low voltage AC (120/208V) through medium voltage (15kV)., • Understanding electrical design techniques, circuit protections, and principals involved in development of electrical drawings for Technical Data Packages (TDP)., • Excellent verbal and written communication skills, problem solving abilities., • Ability and flexibility to travel domestically and internationally - up to 20%, • Medical, • Dental, • Vision, • 401(k) PD Power Systems is committed to the principle of equal employment opportunity for all employees and job applicants and to providing employees with a work environment free of discrimination and harassment. Employment decisions at PD Power Systems are based on business needs, job requirements and individual qualifications, without regard to race, color, religion or belief, national, social or ethnic origin, sex (including pregnancy), age, physical, mental or sensory disability, HIV Status, sexual orientation, gender identity and/or expression, marital, civil union or domestic partnership status, past or present military service, family medical history or genetic information, family or parental status, or any other status protected by the laws or regulations in the locations where we operate.

Job Description As we are bidding to support the U.S. Coast Guard (USCG), Metrics LLC is seeking a highly specialized Subject Matter Expert (SME) in Systems Engineering to provide high-level technical support for USCG's major and non-major acquisition programs. This position will provide critical systems engineering guidance, ensuring the robust application and compliance of the Systems Engineering Life Cycle (SELC) across key programs. The SME will leverage extensive experience with federal acquisition frameworks to refine, implement, and audit USCG-focused SELC activities, directly contributing to the successful design, development, and delivery of complex systems. Primary Responsibilities • SELC Implementation & Tailoring: Apply extensive experience with the Systems Engineering Life Cycle (SELC) to refine and implement USCG-focused SELC policies, processes, and procedures., • Technical Product Review & Compliance: Conduct thorough reviews of critical Systems Engineering products for technical completeness, quality, and compliance with USCG, DHS, and industry standards., • This includes review of documentation related to System requirements and verification methods, Architecture and design development, and technical baselines., • Process Oversight: Track and manage acquisition program systems engineering review events (e.g., Preliminary Design Review, Critical Design Review, Technical Readiness Assessments)., • Assessment & Recommendations: Lead or support Technical assessment processes and system maturity evaluations., • Develop detailed written reports that analyze findings, document technical risks, and provide actionable recommendations for government leadership and program managers., • Expert Consulting: Serve as the technical authority on systems engineering matters, advising the government Program Manager and technical staff on best practices, emerging issues, and potential engineering challenges. Minimum Qualifications • Education: Bachelor’s Degree in Systems Engineering, Electrical Engineering, Aerospace Engineering, Computer Science, or a related technical field., • Experience:, • A minimum of 15 years of progressive experience in Systems Engineering roles, with significant experience supporting federal government acquisition programs., • A minimum of 10 years of experience working directly with or for the U.S. Coast Guard (USCG), preferably within an acquisition, engineering, or major program office environment., • Expertise:, • Extensive experience with the Systems Engineering Life Cycle (SELC)., • Deep, working knowledge of the MSAM and NMAP SELC frameworks as applied within the USCG and DHS., • Proven ability to refine and implement USCG-focused SELC policies, processes, and procedures., • Demonstrated experience reviewing and approving complex Systems Engineering products for completeness and compliance., • Strong understanding of:, • Program Systems Engineering Tailoring Plans., • System requirements definition, flow-down, and verification methods., • System architecture and design development processes., • Technical assessment processes and readiness reviews., • Communication: Exceptional written and verbal communication skills; ability to develop written reports with clear, concise technical recommendations for both technical and non-technical audiences. Preferred Qualifications • Certification: Certified Systems Engineering Professional (CSEP) or Expert Systems Engineering Professional (ESEP)., • Acquisition Certification: FAC-C (Professional) or DAWIA Level III in Engineering or Program Management., • Prior Roles: Prior experience serving as a Lead Systems Engineer or Chief Engineer for a USCG or DHS acquisition program.

Job Description Electrical Engineer/Designer Location is onsite in Springfield, VA. This is not a remote or hybrid position. PD Power Systems LLC is seeking an Electrical Engineer/Designer responsible for designing electrical and control systems for electrical power generation and distribution systems and equipment. The candidate will work closely with Mechanical Designers and Engineers in integrating controls into the electrical systems. The candidate must be familiar with electrical power generation, distribution, and various control systems to include PLCs, generator digital controls, and human machine interfaces. Experience with 2D CAD is required, experience with 3D CAD is desirable. The position requires close teamwork with other employees in engineering as well as support, both within the company and with subcontractors. Roles and Responsibilities • Prepare, edit and maintain electrical schematics, panel diagrams, cable assembles, and wiring drawings using AutoCAD software., • Create, maintain and troubleshoot PLC systems., • Be able to source components based upon customer requirements and specifications., • Education: 4-year Electrical Engineering degree with 5+ years of hands-on experience. OR, • Experience designing electrical control systems and power generation and distribution systems., • To include prototype builds, production builds, schematic designs, and troubleshooting and diagnosing system issues., • Experience using Microsoft Office (Word, Excel, PowerPoint), problem solving, technical documentation/communication., • Experience with electrical power from low voltage AC (120/208V) through medium voltage (15kV)., • Understanding electrical design techniques, circuit protections, and principals involved in development of electrical drawings for Technical Data Packages (TDP)., • Excellent verbal and written communication skills, problem solving abilities., • Ability and flexibility to travel domestically and internationally - up to 20%, • Medical, • Dental, • Vision, • 401(k) PD Power Systems is committed to the principle of equal employment opportunity for all employees and job applicants and to providing employees with a work environment free of discrimination and harassment. Employment decisions at PD Power Systems are based on business needs, job requirements and individual qualifications, without regard to race, color, religion or belief, national, social or ethnic origin, sex (including pregnancy), age, physical, mental or sensory disability, HIV Status, sexual orientation, gender identity and/or expression, marital, civil union or domestic partnership status, past or present military service, family medical history or genetic information, family or parental status, or any other status protected by the laws or regulations in the locations where we operate.

Job Description Network Security Engineer - Senior (w/ active TS) Location: Arlington, VA Clearance: TS/SCI Schedule: TBD Full-time JOB DESCRIPTION Critical Solutions is seeking an experienced Senior Network Security Engineer to support our federal customer in Arlington, VA. PRIMARY ROLES AND RESPONSIBILITIES: • Surveys current and future locations to support agency network infrastructure., • Inventory and validation of agency current and future network devices and topologies., • Designs and installs architecture to include the software, hardware, firmware, and communications to support the network requirements as well as provide for present and future cross-functional requirements and interfaces., • Configures, installs, tests, validates, and troubleshoots network infrastructure devices., • Ensures Network systems are compatible and in compliance with the standards for open systems architectures, the Open Systems Interconnection (OSI) and International Standards Organization (ISO) reference models and profiles of standards - such as Institute of Electrical and Electronic Engineers (IEEE) Open Systems Environment (OSE) reference model - as they apply to the implementation and specification of Information Management (IM) solution of the network layers, across the application program interface (API) and the external environment/software application., • Ensures that the network/transport layers of the common operating environment are compliant with policies, processes, and procedures., • Evaluates analytically and systematically problems of workflows and network usage, organization and planning and develops proper corrective action., • Provide team members with the tools, knowledge, and documentation needed to support enterprise architecture., • Have flexible working hours to be available to support team when needed including on-call., • Must possess a Top-Secret Clearance w/ SCI eligibility., • Bachelor's degree in Computer Science, Information Technology, or related field and 8 years of relevant experience, • Experience in network design, deployment, and operation, • Expertise in compliance with DoD standards and open systems architectures., • DoD 8570 IAM/IAT Level II certification such as CCNA/CCNP, JNCIA, PCNSE or another related certification, • Have flexible working hours to be available to support team when needed including on-call. ADDITIONAL INFORMATION: This position is contingent on contract award. Clearance Requirement: Possess an active DoD Top Secret Clearance. In addition, selected candidate must undergo background investigation (BI) and finger printing by the federal agency and successfully pass the preceding to qualify for the position. US CITIZENSHIP IS REQUIRED. CRITICAL SOLUTIONS PAY AND BENEFITS: Salary range $- $. The salary range for this position represent the typical salary range for this job level and this does not guarantee a specific salary. Compensation is based upon multiple factors such as responsibilities of the job, education, experience, knowledge, skills, certifications, and other requirements. BENEFIT SNAPSHOT: 100% premium coverage for Medical, Dental, Vision, and Life Insurance, Supplemental Insurance, 401K matching, Flexible Time Off (PTO/Holidays), Higher Education/Training Reimbursement, and more. Job Posted by ApplicantPro

Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You’ll participate in the detailed technical design, development, and implementation of machine learning applications using existing and emerging technology platforms. You’ll focus on machine learning architectural design, develop and review model and application code, and ensure high availability and performance of our machine learning applications. You'll have the opportunity to continuously learn and apply the latest innovations and best practices in machine learning engineering. What you’ll do in the role: The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: * Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams. * Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation). * Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment. * Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications. * Retrain, maintain, and monitor models in production. * Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale. * Construct optimized data pipelines to feed ML models. * Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code. * Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI. * Use programming languages like Python, Scala, or Java. Basic Qualifications: * Bachelor’s Degree * At least 6 years of experience designing and building data-intensive solutions using distributed computing (Internship experience does not apply) * At least 4 years of experience programming with Python, Scala, or Java * At least 2 years of experience building, scaling, and optimizing ML systems Preferred Qualifications: * Master's or Doctoral Degree in computer science, electrical engineering, mathematics, or a similar field * 1+ years of experience leading teams developing ML solutions using industry best practices, patterns, and automation * 3+ years of experience building production-ready data pipelines that feed ML models * 3+ years of on-the-job experience with an industry recognized ML framework such as scikit-learn, PyTorch, Dask, Spark, or TensorFlow * 2+ years of experience developing performant, resilient, and maintainable code * 2+ years of experience with data gathering and preparation for ML models * 2+ years of people leader experience * Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform * Experience designing, implementing, and scaling complex data pipelines for ML models and evaluating their performance * ML industry impact through conference presentations, papers, blog posts, open source contributions, or patents At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (i.e. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-2, E-3, L-1 and O-1, or any EADs or other forms of work authorization that require immigration support from an employer). 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. McLean, VA: $193,400 - $220,700 for Lead Machine Learning 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 4901-4920; 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 1-800-304-9102 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).

Lead AI Engineer (AI Foundations) Overview: 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. In this role, you will: * 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, 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, Nemo Guardrails, PyTorch, and more. * Invent and introduce state-of-the-art LLM 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. The Ideal Candidate: * You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. * Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. * You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. * You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. * You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: * Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 2 years of experience developing AI and ML algorithms or technologies * At least 4 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: * 6 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) * Experience designing, developing, delivering, and supporting AI services * Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, 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 * Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production 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: $193,400 - $220,700 for Lead AI Engineer McLean, VA: $193,400 - $220,700 for Lead AI Engineer New York, NY: $211,000 - $240,800 for Lead AI Engineer San Francisco, CA: $211,000 - $240,800 for Lead AI Engineer San Jose, CA: $211,000 - $240,800 for Lead 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 4901-4920; 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 1-800-304-9102 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).

Lead AI Engineer (AI Foundations, LLM Core) Overview: 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. In this role, you will: * 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, 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, Nemo Guardrails, PyTorch, and more. * Invent and introduce state-of-the-art LLM 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. The Ideal Candidate: * You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. * Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. * You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. * You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. * You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: * Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 2 years of experience developing AI and ML algorithms or technologies * At least 4 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: * 6 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) * Experience designing, developing, delivering, and supporting AI services * Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, 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 * Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production 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: $193,400 - $220,700 for Lead AI Engineer McLean, VA: $193,400 - $220,700 for Lead AI Engineer New York, NY: $211,000 - $240,800 for Lead AI Engineer San Francisco, CA: $211,000 - $240,800 for Lead AI Engineer San Jose, CA: $211,000 - $240,800 for Lead 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 4901-4920; 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 1-800-304-9102 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).

Lead Machine Learning Engineer -ML/AI At Capital One, we are changing banking for good by creating responsible and reliable AI-powered systems. 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 exceptional products for our customers. In Risk Tech, we provide the foundation for Capital One to thrive in an uncertain world. Our engaged, empowered, and intelligent people produce outstanding products, working toward the common goal of transforming risk management with technology. We build data-driven tools that use machine learning to prevent risks & automatically detect issues before they impact our customers, our business, or our communities. In this role at Risk Tech, you will work with our internal Audit team and partners across the company to build and deploy proprietary solutions that are powered by state-of-the-art AI technology. Our products, enhanced with the transformative power of AI, are central to our business and deliver tremendous customer value. You will: * Partner with a cross-functional team of engineers, data scientists, product managers, and designers to deliver AI-powered products that change how our associates work and provide value to our customers. * Design, develop, test, deploy, and support AI software components utilizing machine learning models, including model evaluation and experimentation, large language model inference, similarity search, guardrails, governance, observability and agentic AI. * Fine-tune, develop and evaluate machine learning and foundation models, * Collaborate as part of a cross-functional Agile team to create and enhance software that utilizes state-of-the-art AI and ML capabilities * Contribute thought leadership and technical vision to the long term roadmap of pioneering AI systems at Capital One. * Leverage a broad stack of Open Source and SaaS AI technologies. * Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues. * Retrain, maintain, and monitor models in production. * Construct optimized data pipelines to feed ML models. * Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI. The Ideal Candidate: * You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. * You are a passionate communicator, comfortable with explaining complex technical concepts to non-technical partners across the business, sometimes in front of large audiences. * Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. * You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. * You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. * You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. * Passion for staying abreast of the latest AI research and AI systems, and judiciously applying novel techniques in production Strategic & Business-Oriented: You think beyond the technology, deeply understanding business needs and how AI can solve them. You don't just build; you strategize and prioritize work that delivers the greatest business value. Highly Collaborative & Transparent: You are a natural partner, working seamlessly across engineering, product, and data science teams. You communicate your progress, blockers, and decisions clearly and proactively, ensuring everyone is aligned. You love sharing knowledge and insights and are committed to the success of the entire team. Technically Mature & Humble: You possess a strong foundation in engineering and mathematics. You are a resilient problem-solver who can bring clarity to complex, undefined problems and articulate your findings concisely. You demonstrate professional maturity by committing to and executing on team decisions. Flexible & Fungible: You are eager to roll up your sleeves and contribute wherever the team needs you most. You are comfortable working across different aspects of the tech stack and adapting to evolving priorities. A Lifelong Learner: You love staying current with the latest AI research and can apply novel techniques to production systems judiciously, always with a focus on business impact. Basic Qualifications: * Bachelor's degree * At least 6 years of experience designing and building data-intensive solutions using distributed computing (Internship experience does not apply) * At least 4 years of experience programming with Python, Go, Scala, or Java * At Least 3 years of experience deploying scalable software solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Preferred Qualifications: * Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 2 years of experience developing AI and ML algorithms or technologies * 6 years of experience designing, developing, delivering, and supporting AI services at scale * 3 years of experience developing AI and ML algorithms or technologies using Python * 2 years of experience with Retrieval Augmented Generation (RAG) * Experience deploying scalable AI/ML solutions in a public cloud such as AWS Bedrock, Google Cloud, Azure * Experience designing, implementing, and scaling complex data pipelines for ML models and evaluating their performance At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (i.e. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-2, E-3, L-1 and O-1, or any EADs or other forms of work authorization that require immigration support from an employer) 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: $193,400 - $220,700 for Lead Machine Learning Engineer McLean, VA: $193,400 - $220,700 for Lead Machine Learning Engineer New York, NY: $211,000 - $240,800 for Lead Machine Learning Engineer Richmond, VA: $175,800 - $200,700 for Lead Machine Learning 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 4901-4920; 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 1-800-304-9102 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).

Lead AI Engineer (AI Foundations, LLM Core and Agentic AI) Overview 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. In this role, you will: * 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, 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, Nemo Guardrails, PyTorch, and more. * Invent and introduce state-of-the-art LLM 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. The Ideal Candidate: * You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. * Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. * You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. * You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. * You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: * Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 2 years of experience developing AI and ML algorithms or technologies * At least 4 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: * 6 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) * Experience designing, developing, delivering, and supporting AI services * Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, 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 * Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production 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: $193,400 - $220,700 for Lead AI Engineer McLean, VA: $193,400 - $220,700 for Lead AI Engineer New York, NY: $211,000 - $240,800 for Lead AI Engineer San Francisco, CA: $211,000 - $240,800 for Lead AI Engineer San Jose, CA: $211,000 - $240,800 for Lead 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 4901-4920; 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 1-800-304-9102 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 Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You’ll participate in the detailed technical design, development, and implementation of machine learning applications using existing and emerging technology platforms. You’ll focus on machine learning architectural design, develop and review model and application code, and ensure high availability and performance of our machine learning applications. You'll have the opportunity to continuously learn and apply the latest innovations and best practices in machine learning engineering. What you’ll do in the role: * The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: * Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams. * Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation). * Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment. * Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications. * Retrain, maintain, and monitor models in production. * Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale. * Construct optimized data pipelines to feed ML models. * Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code. * Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI. * Use programming languages like Python, Scala, or Java. Basic Qualifications: * Bachelor’s degree * At least 4 years of experience programming with Python, Scala, or Java (Internship experience does not apply) * At least 3 years of experience designing and building data-intensive solutions using distributed computing * At least 2 years of on-the-job experience with an industry recognized ML frameworks (scikit-learn, PyTorch, Dask, Spark, or TensorFlow) * At least 1 year of experience productionizing, monitoring, and maintaining models Preferred Qualifications: * 1+ years of experience building, scaling, and optimizing ML systems * 1+ years of experience with data gathering and preparation for ML models * 2+ years of experience developing performant, resilient, and maintainable code * Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform * Master's or doctoral degree in computer science, electrical engineering, mathematics, or a similar field * 3+ years of experience with distributed file systems or multi-node database paradigms * Contributed to open source ML software * Authored/co-authored a paper on a ML technique, model, or proof of concept * 3+ years of experience building production-ready data pipelines that feed ML models * Experience designing, implementing, and scaling complex data pipelines for ML models and evaluating their performance At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (i.e. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-2, E-3, L-1 and O-1, or any EADs or other forms of work authorization that require immigration support from an employer). 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. McLean, VA: $158,600 - $181,000 for Senior Machine Learning 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 4901-4920; 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 1-800-304-9102 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 AI Engineer (AI Foundations, LLM Core) Overview: 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. In this role, you will: * 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, 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, Nemo Guardrails, PyTorch, and more. * Invent and introduce state-of-the-art LLM 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. The Ideal Candidate: * You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. * Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. * You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. * You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. * You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: * Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 3 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 1 year of experience developing AI and ML algorithms or technologies * At least 3 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: * 4 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) * Experience developing, delivering, and supporting AI services * Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, 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 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: $158,600 - $181,000 for Senior AI Engineer McLean, VA: $158,600 - $181,000 for Senior AI Engineer New York, NY: $173,000 - $197,400 for Senior AI Engineer San Francisco, CA: $173,000 - $197,400 for Senior AI Engineer San Jose, CA: $173,000 - $197,400 for Senior 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 4901-4920; 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 1-800-304-9102 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).

Lead AI Engineer (FM Hosting, LLM Inference) Overview 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. In this role, you will: * 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, 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, Nemo Guardrails, PyTorch, and more. * Invent and introduce state-of-the-art LLM 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. The Ideal Candidate: * You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. * Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. * You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. * You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. * You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: * Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 2 years of experience developing AI and ML algorithms or technologies * At least 4 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: * 6 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) * Experience designing, developing, delivering, and supporting AI services * Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, 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 * Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production 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: $193,400 - $220,700 for Lead AI Engineer McLean, VA: $193,400 - $220,700 for Lead AI Engineer New York, NY: $211,000 - $240,800 for Lead AI Engineer San Francisco, CA: $211,000 - $240,800 for Lead AI Engineer San Jose, CA: $211,000 - $240,800 for Lead 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 4901-4920; 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 1-800-304-9102 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).

Overview We are seeking a Design Engineer to support our Washington, DC office. Candidate will assist in the review and analysis of UxV designs, support engineering studies, and help develop technical documentation to inform future requirements and acquisition decisions. Candidate's responsibilities include providing technical input across mechanical, structural, and electrical systems, and supporting the integration of UxV systems to meet mission needs. What will you do? \n • Review and analysis of UxV designs, addressing technical issues that arise during design and construction, and in the development of the future UxV requirements and acquisition documents.\n, • Provide engineering support as requested by the-customer to support technical and project decisions and maintain technical configuration control.\n, • Perform engineering analyses of customer mission and performance requirements to define UxV attributes in engineering terms.\n, • Perform engineering studies leading to the allocation of UxV attributes to UxV systems in terms of design direction, performance, configuration, space and weight, and arrangement.\n, • Perform design and engineering studies to identify the degree of UxV systems integration required to meet the mission requirements.\n, • Provide Objective Quality Evidence (OQE) of designs in the form of technical products such as drawings, conceptual and product engineering designs, calculations, schematics, reports, etc.\n, • Provide technical assistance with UxV design, and integration, related to subject areas including machinery, hull form, hull strength, propulsion, electrical systems, auxiliary systems, hydrodynamics, sea keeping and survivability, stability, structures, arrangements, habitability, outfitting, lifesaving and mooring systems, cargo handling systems, unmanned systems, aviation, C4I, combat systems, autonomy, computer science, electronics and other technical areas as necessary.\n, • Review and analysis as requested of the developing design to ensure that the UxV is functionally balanced and integrated in terms of distribution and location of functions, seaworthiness, mission suitability (effectiveness, survivability), and performance.\n Required skills: \n • 1 year - 4 years of relevant experience\n, • Professional experience in mechanical, structural or electrical/electronic design.\n, • Bachelor's level degree in an Engineering discipline or Industrial Design.\n, • Professional experience in mechanical, structural or electrical/electronic design for Navy shipbuilding and defense systems.\n\n Pay Range: VTG's estimated starting pay range is $60,000-$82,799 annually, which is a general guideline for the geographic location. When extending an offer, VTG also considers work experience, education, skill level, market considerations and may possibly include contractual requirements which may cause an offer to fall outside of this range. This position is contingent upon contract award Pay Range: VTG's estimated starting pay range is $60,000-$82,799 annually, which is a general guideline for the geographic location. When extending an offer, VTG also considers work experience, education, skill level, market considerations and may possibly include contractual requirements which may cause an offer to fall outside of this range.

Distinguished AI Engineer Overview: 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. In this role, you will: * 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, 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, Nemo Guardrails, PyTorch, and more. * Invent and introduce state-of-the-art LLM 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. The Ideal Candidate: * You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. * Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. * You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. * You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. * You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: * Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 8 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 6 years of experience developing AI and ML algorithms or technologies * At least 8 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: * 8 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 VP level * Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, 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 * 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 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: $263,900 - $301,200 for Distinguished AI Engineer McLean, VA: $263,900 - $301,200 for Distinguished AI Engineer New York, NY: $287,800 - $328,500 for Distinguished AI Engineer Richmond, VA: $239,900 - $273,800 for Distinguished AI Engineer San Francisco, CA: $287,800 - $328,500 for Distinguished AI Engineer San Jose, CA: $287,800 - $328,500 for Distinguished 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 4901-4920; 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 1-800-304-9102 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).

Overview We are seeking a mid- level Electrical Engineer to support our Washington, DC office. Candidate will develop maintenance and testing procedures, evaluate electrical and electronic systems, and recommend design modifications or repairs. Additional responsibilities include inspecting equipment to ensure compliance with safety standards and regulations. What will you do? \n • Develop maintenance and testing procedures for electric and electronic components and equipment.\n, • Evaluate systems and recommend design modifications or equipment repair.\n Required skills: \n • Bachelor's degree\n, • 4 years - 7 years of relevant experience\n, • Professional experience in electrical/electronic design\n, • Master's level degree in Electrical/Electronics Engineering.\n, • Professional Engineer License\n, • Professional experience in electrical/electronic design for Navy shipbuilding and defense systems.\n\n Pay Range: VTG's estimated starting pay range is $74,500-$110,080 annually, which is a general guideline for the geographic location. When extending an offer, VTG also considers work experience, education, skill level, market considerations and may possibly include contractual requirements which may cause an offer to fall outside of this range. This position is contingent upon contract award Pay Range: VTG's estimated starting pay range is $74,500-$110,080 annually, which is a general guideline for the geographic location. When extending an offer, VTG also considers work experience, education, skill level, market considerations and may possibly include contractual requirements which may cause an offer to fall outside of this range.

Job Description Company Overview Librium Group is a global advisory firm dedicated to helping the U.S. government solve its most complex infrastructure, resilience, and mission-dominance challenges. We partner with federal agencies, developers, and investors to design, structure, and deliver transformative projects-from early-stage concept through financial close. With experience supporting over $12 billion in transactions, 3.7 gigawatts of generation capacity, and projects across 22 countries, we bring clarity, rigor, and precision to every engagement. Our work spans critical infrastructure, national security, and major programs shaping how the nation delivers resilient, future-ready energy and installation solutions. At Librium Group, culture is paramount; we are a team built on trust, humility, excellence, and an unwavering commitment to client success. You will work side-by-side with teammates both on client site and virtually each day, in an environment grounded in support, purpose, and collaboration. Position Description Librium Group is seeking a technically strong, detail-oriented Data Center Engineer to support the U.S. government in the evaluation, oversight, and implementation of a large-scale data center. This role blends technical engineering expertise with strategic advisory work, acting as a trusted representative to ensure the developer's design, construction, and operational plans align with government requirements, federal standards, mission assurance needs, and long-term resilience objectives. The role involves reviewing developer submissions, assessing data center design and infrastructure, evaluating power and cooling systems, coordinating with utilities, and advising federal stakeholders on risks, options, and decision pathways. This is a rare opportunity to support a high-visibility project at the intersection of real estate, national security, energy resilience, and emerging data center infrastructure. This position requires on-site support at the Washington Navy Yard (Washington, DC) 2–4 days per week, with remote flexibility. Limited travel may be required. Key Responsibilities Technical Evaluation & Due Diligence • Review developer architectural, electrical, and mechanical designs for alignment with government requirements, UFC standards, energy resilience objectives, and mission-critical performance criteria., • Assess power distribution, UPS systems, generators, cooling systems, and redundancy schemes proposed by the developer., • Evaluate projected loads, reliability, resilience capabilities, and key technical assumptions., • Identify risks or gaps in power and cooling design, cybersecurity posture (physical/operational), facility hardening, and interconnection points., • Provide government stakeholders with clear, actionable recommendations on design decisions, technical alternatives, and implications for mission assurance., • Support the government in monitoring developer progress, schedule adherence, and compliance with technical requirements., • Contribute to development and refinement of performance requirements, technical specifications, and milestones., • Assist in review of construction sequencing, commissioning approaches, and facility readiness planning., • Serve as a trusted technical advisor interfacing between the government, developer, utilities, and engineering teams., • Translate complex data center engineering concepts into digestible insights for senior military and civilian leaders., • Support cross-functional coordination across engineering, energy resilience, real estate, legal, acquisition, and mission support workstreams. Required • Bachelor's degree in Engineering (Electrical, Mechanical, or related field)., • 3–7 years of experience in data center design, critical facility engineering, or utility/energy infrastructure., • Strong understanding of power distribution, cooling systems, redundancy strategies, and reliability engineering., • Experience reviewing or producing engineering drawings, specifications, and technical packages., • Ability to evaluate developer submissions and identify gaps, risks, or technical issues., • Excellent analytical, communication, and technical writing skills., • Ability to operate in a dynamic environment with high-visibility government stakeholders., • Interest in mission-driven work supporting national security, infrastructure resilience, and public-private partnerships., • Experience supporting federal or DoD clients, especially with data center or critical infrastructure projects., • Familiarity with UFCs, Uptime Institute Tier Guidelines, ASHRAE TC 9.9, IEEE standards, and data center best practices., • Understanding of P3 or developer-led project structures., • Professional Engineer (PE) or progress toward licensure. In this role, you will: • Support the government on a transformative data center development with long-term strategic importance., • Work directly with senior Navy and federal leadership., • Engage deeply in both technical engineering and high-level advisory work., • Grow through hands-on experience with cutting-edge infrastructure and public-private development., • Be part of a culture that values people, teamwork, and purpose. Job Posted by ApplicantPro

Job DescriptionPrincipal RUST Software Engineer Washington DC Full-time, Onsite (No Remote Options) 9/80 Work Week (Every Other Friday Off) Department of Defense (DoD) Secret Clearance REQUIRED $200,000 to $250,000 + Bonus + Full Benefits SummarySeeking a Principal RUST Software Engineer to serve as a key technical leader in the strategic evolution of our mission-critical systems. This role is not just about writing code; it is about providing expert-level architectural direction and driving organizational change. The Principal Engineer will be instrumental in setting the direction and strategy for product and infrastructure development by leading the full-scale adoption and deployment of the RUST programming language across multiple embedded product lines. You will be responsible for defining the RUST engineering roadmap, ensuring code is secure and memory-safe, and mentoring senior and junior engineers on complex implementation patterns for our C5 and Cyber Solution Centers. The selected candidate will operate as a key team member on a Scrum team, shaping the future of secure, high-assurance software in the aerospace and defense sector. Key Responsibilities • RUST Strategic Leadership: Define, champion, and drive the comprehensive strategy and roadmap for RUST adoption, deployment, and integration across multiple mission-critical product lines, ensuring technical alignment with long-term business goals., • Architectural Guidance & Standards: Establish and enforce principal-level best practices, design patterns, and architectural standards for memory-safe and efficient usage of RUST, especially in resource-constrained embedded environments., • Technical Mentorship & Development: Serve as the primary technical mentor, subject matter expert, and ultimate reviewer for RUST code and complex design artifacts, significantly elevating the skill set of the broader engineering team., • Legacy Modernization: Guide and execute the complex integration or conversion of significant legacy C/C++ software components into production-ready RUST solutions, prioritizing security and performance parity., • High-Assurance Software Development: Apply expert-level computer science, engineering, and mathematical analysis concepts to develop high-assurance, maintainable software (primarily in RUST, C/C++, and Python) for embedded real-time operating systems (e.g., VxWorks, Linux, Integrity)., • Advanced Troubleshooting: Investigate, diagnose, and resolve the root causes of the most complex and systemic technical issues (e.g., race conditions, memory issues) at the system level, often requiring independent judgment and cross-functional team leadership., • SDLC Ownership: Drive and participate in all phases of the Software Development Life Cycle, including leading requirements decomposition, system-level design review, implementation, hardware-software integration, and formal test verification., • Stakeholder Collaboration: Collaborate closely with program managers, systems engineers, and external stakeholders to translate high-level mission requirements into prioritized, scoped, and actionable technical tasks., • Experience: A minimum of 12 years of progressive, prior relevant experience, demonstrating increasing technical responsibility, with a Bachelor's degree in Computer Engineering, Electrical Engineering, Computer Science, or a related field (or 10 years with a Graduate Degree, or 16 years without a degree)., • RUST Expertise: 5+ years of hands-on experience developing production RUST software, including a demonstrated deep architectural understanding of the language, its concurrency models, and its application to high-assurance systems., • C/C++ Interoperability: Extensive experience with C/C++ development and object-oriented design, particularly in scenarios requiring integration or conversion to RUST., • Clearance: Must be a U.S. Citizen with an Active Department of Defense (DoD) Secret Clearance. Preferred Additional Skills, • Experience developing RUST software for embedded systems., • Experience converting C\C++ code to RUST., • Object-oriented design and implementation experience, with exposure to software modeling and UML tools such as IBM Rhapsody or Magic Draw/Cameo., • Experience developing device drivers and Board Support Packages for real-time embedded systems., • Experience with Information Assurance and/or cryptography., • Experience with NSA Type 1 certification or other SW certification such as DO-178., • Excellent oral and written communication skills.