Job Description Job Description Description: Company Description: ASG is a Minority- and Woman-Owned, Physician-Owned small business with over 15 years of experience in federal government contracting. We deliver a wide range of technology services, including software development, mobile apps, AI/ML, analytics, data science, big data, DevSecOps, digital transformation, cloud, and cybersecurity. ASG is CMMI Level 3 certified and holds ISO 9001:2015, 20000-1:2018, and 27001:2022 certifications . Job Description: ASG is seeking an experienced Security Lead to own the Program security posture, compliance artifacts, and coordination with Program Security Oversight leadership. This role shares leadership of the security team with a Co-Lead and directs the work of the Information Security Specialist team, ensuring compliance documentation, vulnerability management, and ATO artifacts are complete, current, and defensible in a complex federal healthcare IT environment. The ideal candidate brings deep federal cybersecurity experience, a track record of leading security teams, and the judgment to represent the program's security posture to executive and government stakeholders. What You Will Do: Own Task 3 security management deliverables, including compliance documentation, risk register maintenance, and coordination with the Program Security Oversight Leader. Direct and coordinate the Information Security Specialist team, including workload distribution and quality oversight of security deliverables, alongside the Sr. Information Security Specialist (Co-Lead). Support Authorization to Operate (ATO) maintenance, continuous Assessment & Authorization (A&A) activities, and FISMA/FedRAMP compliance documentation for Client-managed systems. Author and review security documentation, including System Security Plans (SSPs), Risk Assessments, and Security Impact Analyses (SIA), prior to submission to Program Security Oversight leadership. Oversee vulnerability scanning, remediation tracking, and security findings reporting across enterprise tools; review results and recommended corrective actions from the Information Security Specialist team. Serve as the primary security point of contact with Program Security Oversight Leadership, and maintain collaborative relationships with federal ISSOs, CSPs (e.g., AWS, Azure), system owners, and vendors. Coordinate with the Tools Management team through the combined Security/Tools scrum cadence. Track and maintain the centralized Security Risk Register, map vulnerabilities to POA&Ms, and support FISMA/FedRAMP compliance efforts across the program. Provide guidance and privacy/security insight to Agile teams across projects, and support Privacy and Security Compliance through all stages of the systems development lifecycle (SDLC). Work within Client system repositories such as CFACTS and BOX. Oversee declared game day events, ensuring after-action reports and other required game day artifacts are completed by the security team. Develop and maintain standard operating procedures (SOPs) for repeatable security processes across the team. Perform additional duties as assigned by the Program Security Oversight Leader. Perform additional duties assigned. Requirements: What We Need : Bachelor's degree or higher in Computer Science, Information Technology, Cybersecurity, Systems Engineering, or a related field (or equivalent professional experience). 8+ years of information security experience in a federal or enterprise environment, including team leadership. Experience with FISMA compliance, ATO processes, and continuous Assessment & Authorization (A working understanding of NIST 800-53/37. Experience co-leading or managing a multi-person security team, including workload distribution and quality oversight of deliverables. Working knowledge of vulnerability scanning and compliance/POA&M platforms, Jira, Confluence, and FISMA/ATO documentation standards and processes. Ability to obtain and maintain Program EUA access and required Public Trust clearance. Strong communication skills and ability to coordinate across multi-disciplinary teams and government stakeholders. Even Better: Prior Program or HHS security program experience strongly preferred. Relevant security certification (CISSP, CISM, CEH, CCNA Security, or Security+). Familiarity with federal control tracking systems (e.g., CFACTS and BOX). Working knowledge of cloud environments (AWS, Azure) and associated security controls. Exposure to pen testing, application security, and CDN security services (e.g., Akamai). Experience providing security and privacy input within Agile development environments. Knowledge about emerging industry or technology trends such as Artificial Intelligence (AI) frameworks. Clearance Requirement: Ability to obtain and maintain public trust background investigation/clearance per client requirements. Additional Information: At ASG, we value diversity and always treat all employees and job applicants based on merit, qualifications, competence, and talent. We do not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, or status as a protected veteran. Applicants in need of special assistance or accommodation during the interview process or in accessing our website may contact us by sending an email to . We will treat your request as confidentially as possible. In your email, please include your name and preferred method of contact, and we will respond as soon as possible. Perks: At ASG, we want you to be well and thrive. Our benefits package includes: Healthcare Benefits Life Disability Paid Time Off 401k Matching Employee Referral Bonus Education Assistance Learning and Development resources EOE, including Disability/Veterans
09/30/2026
Full time
Job Description Job Description Description: Company Description: ASG is a Minority- and Woman-Owned, Physician-Owned small business with over 15 years of experience in federal government contracting. We deliver a wide range of technology services, including software development, mobile apps, AI/ML, analytics, data science, big data, DevSecOps, digital transformation, cloud, and cybersecurity. ASG is CMMI Level 3 certified and holds ISO 9001:2015, 20000-1:2018, and 27001:2022 certifications . Job Description: ASG is seeking an experienced Security Lead to own the Program security posture, compliance artifacts, and coordination with Program Security Oversight leadership. This role shares leadership of the security team with a Co-Lead and directs the work of the Information Security Specialist team, ensuring compliance documentation, vulnerability management, and ATO artifacts are complete, current, and defensible in a complex federal healthcare IT environment. The ideal candidate brings deep federal cybersecurity experience, a track record of leading security teams, and the judgment to represent the program's security posture to executive and government stakeholders. What You Will Do: Own Task 3 security management deliverables, including compliance documentation, risk register maintenance, and coordination with the Program Security Oversight Leader. Direct and coordinate the Information Security Specialist team, including workload distribution and quality oversight of security deliverables, alongside the Sr. Information Security Specialist (Co-Lead). Support Authorization to Operate (ATO) maintenance, continuous Assessment & Authorization (A&A) activities, and FISMA/FedRAMP compliance documentation for Client-managed systems. Author and review security documentation, including System Security Plans (SSPs), Risk Assessments, and Security Impact Analyses (SIA), prior to submission to Program Security Oversight leadership. Oversee vulnerability scanning, remediation tracking, and security findings reporting across enterprise tools; review results and recommended corrective actions from the Information Security Specialist team. Serve as the primary security point of contact with Program Security Oversight Leadership, and maintain collaborative relationships with federal ISSOs, CSPs (e.g., AWS, Azure), system owners, and vendors. Coordinate with the Tools Management team through the combined Security/Tools scrum cadence. Track and maintain the centralized Security Risk Register, map vulnerabilities to POA&Ms, and support FISMA/FedRAMP compliance efforts across the program. Provide guidance and privacy/security insight to Agile teams across projects, and support Privacy and Security Compliance through all stages of the systems development lifecycle (SDLC). Work within Client system repositories such as CFACTS and BOX. Oversee declared game day events, ensuring after-action reports and other required game day artifacts are completed by the security team. Develop and maintain standard operating procedures (SOPs) for repeatable security processes across the team. Perform additional duties as assigned by the Program Security Oversight Leader. Perform additional duties assigned. Requirements: What We Need : Bachelor's degree or higher in Computer Science, Information Technology, Cybersecurity, Systems Engineering, or a related field (or equivalent professional experience). 8+ years of information security experience in a federal or enterprise environment, including team leadership. Experience with FISMA compliance, ATO processes, and continuous Assessment & Authorization (A working understanding of NIST 800-53/37. Experience co-leading or managing a multi-person security team, including workload distribution and quality oversight of deliverables. Working knowledge of vulnerability scanning and compliance/POA&M platforms, Jira, Confluence, and FISMA/ATO documentation standards and processes. Ability to obtain and maintain Program EUA access and required Public Trust clearance. Strong communication skills and ability to coordinate across multi-disciplinary teams and government stakeholders. Even Better: Prior Program or HHS security program experience strongly preferred. Relevant security certification (CISSP, CISM, CEH, CCNA Security, or Security+). Familiarity with federal control tracking systems (e.g., CFACTS and BOX). Working knowledge of cloud environments (AWS, Azure) and associated security controls. Exposure to pen testing, application security, and CDN security services (e.g., Akamai). Experience providing security and privacy input within Agile development environments. Knowledge about emerging industry or technology trends such as Artificial Intelligence (AI) frameworks. Clearance Requirement: Ability to obtain and maintain public trust background investigation/clearance per client requirements. Additional Information: At ASG, we value diversity and always treat all employees and job applicants based on merit, qualifications, competence, and talent. We do not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, or status as a protected veteran. Applicants in need of special assistance or accommodation during the interview process or in accessing our website may contact us by sending an email to . We will treat your request as confidentially as possible. In your email, please include your name and preferred method of contact, and we will respond as soon as possible. Perks: At ASG, we want you to be well and thrive. Our benefits package includes: Healthcare Benefits Life Disability Paid Time Off 401k Matching Employee Referral Bonus Education Assistance Learning and Development resources EOE, including Disability/Veterans
What you will do: The ideal candidate will demonstrate a strong technical capability and engineering foresight, with the ability to lead complex development programs and portfolios focused on solving highly ambiguous and technically challenging problems. This role defines investigation strategies, including establishing supporting initiatives and identifying the appropriate teams and resources required for success. The individual provides technical oversight across multiple programs and development efforts while working closely with cross-functional partners to drive alignment, collaboration, and the successful adoption of designs and solutions across the organization. This position is not eligible for sponsorship. How you will do it: • Lead and advise cross program System Teams to review and negotiate customer specifications, industry standards, regulatory standards and internal design guidelines to establish product system requirements. • Guide across program System Teams in validation planning activities in accordance with automotive functional safety and ASPICE processes. • Develop System Processes with interaction with interacting Stakeholders to be compliant to ISO26262 and ASPICE processes. • Identify System Process gaps and lead System team for process improvement • Guide Workgroups to collect, analyze, and cascade the system requirements. • Lead Teams for optimization of requirements and parameter definition processes • Guide cross program to analyze performance and design constraint requirements • Define the system architecture, including sizing and cell selection based on core product portfolio using model-based systems engineering methods. • Guide cross program System Teams requirements cascading to engineering disciplines and subsystems • Lead analyzing limiting requirements to all functional levels • Define system architecture with interfaces of components and engineering disciplines • Review the system level DFMEA and lead the coordinating with other sub-systems and component FMEAs. • Approve specifications and design of all battery components - mechanical, electrical, software, and electronics. • Develop relationships with suppliers to help generate component specifications and lead the make vs. buy analysis in conjunction with functional groups. • Approver of system work packages and test results in support of design verification. • Approver of engineering documentation to ensure a sensible archive of information including engineering calculations, engineering drawings, intellectual property, DFMEAs, validation reports, meeting minutes, trip reports, and customer documents/communication. • Provides technical leadership on assigned project teams and tasks with other engineering disciplines. What we look for: Required: • Bachelor's degree in related field with extensive industry experience (15+ years) Preferred: • Master's degree in related field with extensive industry experience • PhD from a technically rigorous program and institution What you get: Medical, dental and vision care coverage and a 401(k) savings plan with company matching - all starting on date of hire Tuition reimbursement, perks, and discounts Parental and caregiver leave programs All the usual benefits such as paid time off, flexible spending, short-and long-term disability, basic life insurance, business travel insurance, and Employee Assistance Program Global market strength and worldwide market share leadership HQ location earns LEED certification for sustainability plus a full-service cafeteria and workout facility Clarios has been recognized as one of 2026's Most Ethical Companies by Ethisphere. This prestigious recognition marks the fourth consecutive year Clarios has received this distinction. Who we are: Clarios is the force behind the world's most recognizable car battery brands, powering vehicles from leading automakers like Ford, General Motors, Toyota, Honda, and Nissan. With 18,000 employees worldwide, we develop, manufacture, and distribute energy storage solutions while recovering, recycling, and reusing up to 99% of battery materials-setting the standard for sustainability in our industry. At Clarios, we're not just making batteries; we're shaping the future of sustainable transportation. Join our mission to innovate, push boundaries, and make a real impact. Discover your potential at Clarios-where your power meets endless possibilities. Veterans/Military Spouses: We value the leadership, adaptability, and technical expertise developed through military service. At Clarios, those capabilities thrive in an environment built on grit, ingenuity, and passion-where you can grow your career while helping to power progress worldwide. All qualified applicants will be considered without regard to protected characteristics. Equal Employment Opportunity: We recognize that people come with a wealth of experience and talent beyond just the technical requirements of a job. If your experience is close to what you see listed here, please apply. Diversity of experience and skills combined with passion is key to challenging the status quo. Therefore, we encourage people from all backgrounds to apply to our positions. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, status as a protected veteran or other protected characteristics protected by law. As a federal contractor, we are committed to not discriminating against any applicant or employee based on these protected statuses. We will also take affirmative action to ensure equal employment opportunities. Please let us know if you require accommodations during the interview process by emailing . We are an Equal Opportunity Employer and value diversity in our teams in terms of work experience, area of expertise, and all characteristics protected by laws in the countries where we operate. For more information on our commitment to sustainability, diversity, and equal opportunity, please read our latest report . We want you to know your rights because EEO is the law. A Note to Job Applicants: please be aware of scams being perpetrated through the Internet and social media platforms. Clarios will never require a job applicant to pay money as part of the application or hiring process. To All Recruitment Agencies: Clarios does not accept unsolicited agency resumes/CVs. Please do not forward resumes/CVs to our careers email addresses, Clarios employees or any other company location. Clarios is not responsible for any fees related to unsolicited resumes/CVs.
09/30/2026
Full time
What you will do: The ideal candidate will demonstrate a strong technical capability and engineering foresight, with the ability to lead complex development programs and portfolios focused on solving highly ambiguous and technically challenging problems. This role defines investigation strategies, including establishing supporting initiatives and identifying the appropriate teams and resources required for success. The individual provides technical oversight across multiple programs and development efforts while working closely with cross-functional partners to drive alignment, collaboration, and the successful adoption of designs and solutions across the organization. This position is not eligible for sponsorship. How you will do it: • Lead and advise cross program System Teams to review and negotiate customer specifications, industry standards, regulatory standards and internal design guidelines to establish product system requirements. • Guide across program System Teams in validation planning activities in accordance with automotive functional safety and ASPICE processes. • Develop System Processes with interaction with interacting Stakeholders to be compliant to ISO26262 and ASPICE processes. • Identify System Process gaps and lead System team for process improvement • Guide Workgroups to collect, analyze, and cascade the system requirements. • Lead Teams for optimization of requirements and parameter definition processes • Guide cross program to analyze performance and design constraint requirements • Define the system architecture, including sizing and cell selection based on core product portfolio using model-based systems engineering methods. • Guide cross program System Teams requirements cascading to engineering disciplines and subsystems • Lead analyzing limiting requirements to all functional levels • Define system architecture with interfaces of components and engineering disciplines • Review the system level DFMEA and lead the coordinating with other sub-systems and component FMEAs. • Approve specifications and design of all battery components - mechanical, electrical, software, and electronics. • Develop relationships with suppliers to help generate component specifications and lead the make vs. buy analysis in conjunction with functional groups. • Approver of system work packages and test results in support of design verification. • Approver of engineering documentation to ensure a sensible archive of information including engineering calculations, engineering drawings, intellectual property, DFMEAs, validation reports, meeting minutes, trip reports, and customer documents/communication. • Provides technical leadership on assigned project teams and tasks with other engineering disciplines. What we look for: Required: • Bachelor's degree in related field with extensive industry experience (15+ years) Preferred: • Master's degree in related field with extensive industry experience • PhD from a technically rigorous program and institution What you get: Medical, dental and vision care coverage and a 401(k) savings plan with company matching - all starting on date of hire Tuition reimbursement, perks, and discounts Parental and caregiver leave programs All the usual benefits such as paid time off, flexible spending, short-and long-term disability, basic life insurance, business travel insurance, and Employee Assistance Program Global market strength and worldwide market share leadership HQ location earns LEED certification for sustainability plus a full-service cafeteria and workout facility Clarios has been recognized as one of 2026's Most Ethical Companies by Ethisphere. This prestigious recognition marks the fourth consecutive year Clarios has received this distinction. Who we are: Clarios is the force behind the world's most recognizable car battery brands, powering vehicles from leading automakers like Ford, General Motors, Toyota, Honda, and Nissan. With 18,000 employees worldwide, we develop, manufacture, and distribute energy storage solutions while recovering, recycling, and reusing up to 99% of battery materials-setting the standard for sustainability in our industry. At Clarios, we're not just making batteries; we're shaping the future of sustainable transportation. Join our mission to innovate, push boundaries, and make a real impact. Discover your potential at Clarios-where your power meets endless possibilities. Veterans/Military Spouses: We value the leadership, adaptability, and technical expertise developed through military service. At Clarios, those capabilities thrive in an environment built on grit, ingenuity, and passion-where you can grow your career while helping to power progress worldwide. All qualified applicants will be considered without regard to protected characteristics. Equal Employment Opportunity: We recognize that people come with a wealth of experience and talent beyond just the technical requirements of a job. If your experience is close to what you see listed here, please apply. Diversity of experience and skills combined with passion is key to challenging the status quo. Therefore, we encourage people from all backgrounds to apply to our positions. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, status as a protected veteran or other protected characteristics protected by law. As a federal contractor, we are committed to not discriminating against any applicant or employee based on these protected statuses. We will also take affirmative action to ensure equal employment opportunities. Please let us know if you require accommodations during the interview process by emailing . We are an Equal Opportunity Employer and value diversity in our teams in terms of work experience, area of expertise, and all characteristics protected by laws in the countries where we operate. For more information on our commitment to sustainability, diversity, and equal opportunity, please read our latest report . We want you to know your rights because EEO is the law. A Note to Job Applicants: please be aware of scams being perpetrated through the Internet and social media platforms. Clarios will never require a job applicant to pay money as part of the application or hiring process. To All Recruitment Agencies: Clarios does not accept unsolicited agency resumes/CVs. Please do not forward resumes/CVs to our careers email addresses, Clarios employees or any other company location. Clarios is not responsible for any fees related to unsolicited resumes/CVs.
Job Description Job Description Millennium NYC 5 days a week in office 200-225K Base plus bonus (total comp-400-500K) Technical Lead Market Data The SPEED Market Data team seeks a hands-on Technical Lead who will own and drive a critical workstream focused on architecting, implementing, monitoring, and supporting low-latency C++ systems that are robust, resilient, accurate, stable, and blindingly fast. By leading the design and evolution of this high-performance infrastructure, you will help position MLP as a leader in quantitative trading. You will shape the future of this industry while working alongside other exceptional engineers and strategists to solve some of the most significant engineering problems in the world. We are looking for a strong technical leader with financial markets technology experience and real-time market data expertise to design, build, and support our global real-time (both low-latency and non-latency-sensitive) market data platform. This role emphasizes technical leadership, architectural ownership, and cross-team coordination rather than people management. The successful candidate will be comfortable owning a workstream end-to-end-covering design, implementation, monitoring, support, and stakeholder management-while ensuring stability of the existing environment and driving platform improvements. Principal Responsibilities Act as the technical owner for a major market data workstream, setting technical direction, defining architecture, and driving execution across the full lifecycle. Collaborate with hardware and software teams across divisions to design and build real-time market data processing and distribution systems. Lead and drive new technical initiatives for the team, including evaluating technologies, defining standards, and establishing best practices. Design and develop systems, interfaces, and tools for historical market data and trading simulations that increase research productivity. Architect and implement components of an enterprise market data platform, including components for caching, aggregation, conflation and value-added data enrichment. Optimize platform performance using network and systems programming, and advanced low-latency techniques (CPU, NIC, kernel, and application-level tuning). Lead the design and maintenance of automated test and benchmark frameworks, and tools for risk management, performance tracking, and system validation. Provide technical leadership for the support and operation of both enterprise real-time market data environments, including coordinating internal, vendor, and exchange-driven changes. Design and engineer components to automate support and management of the market data platform, including monitoring, real-time and historical metrics collection/visualization, and self-service administrative/user tools. Serve as a primary technical liaison for users of the market data environment (Portfolio Managers, trading desks, and core technology teams), translating requirements into robust technical solutions. Lead the enhancement of processes and workflows for operating the market data platform (release/deployment, incident management and remediation, exchange notification handling, defining and enforcing SLAs). Mentor and influence other engineers through code reviews, design reviews, and hands-on guidance, fostering a culture of technical excellence and accountability. Qualifications / Skills Required Degree in Computer Science or a related field with a strong background in data structures, algorithms, and object-oriented programming in modern C++. Deep understanding of Linux system internals and networking, especially in low-latency and high-throughput environments. Strong knowledge of CPU architecture and the ability to leverage CPU capabilities for performance optimization. Demonstrated experience acting as a technical lead or senior engineer owning complex systems or workstreams end-to-end (design, delivery, and operations). Able to prioritize and make trade-offs in a fast-moving, high-pressure, constantly changing environment; strong sense of urgency, ownership, and follow-through. Strong belief in and practice of extreme ownership, with a track record of taking accountability for systems in production. Effective communication and stakeholder management skills: able to work closely with business and technology users, understand their needs, and drive appropriate technical solutions. Experience building solutions on cloud environments such as GCP and AWS. Knowledge of additional programming languages such as Java, Python, or scripting (Perl, shell). Technical background in application development on complex market data systems (e.g., Bloomberg, Thomson Reuters, etc.). Experience supporting market data environments within a global organization, including internally developed DMA feed handlers and distribution infrastructure. Strong understanding of market data concepts and functionality, including data models (fields/messages), protocols (e.g., snapshot + delta), order book representations (L1/L2/L3), recovery, and reliability. Hands-on Site Reliability Engineering or DevOps experience, including system administration, automation, measurement, and release/deployment management. Experience with monitoring, metrics, and command/control tooling for distributed market data platforms, with the ability to evaluate existing solutions and drive enhancements across development and operations. Ability to operate with a high level of thoroughness and attention to detail, demonstrating strong ownership of deliverables and production systems.
09/29/2026
Full time
Job Description Job Description Millennium NYC 5 days a week in office 200-225K Base plus bonus (total comp-400-500K) Technical Lead Market Data The SPEED Market Data team seeks a hands-on Technical Lead who will own and drive a critical workstream focused on architecting, implementing, monitoring, and supporting low-latency C++ systems that are robust, resilient, accurate, stable, and blindingly fast. By leading the design and evolution of this high-performance infrastructure, you will help position MLP as a leader in quantitative trading. You will shape the future of this industry while working alongside other exceptional engineers and strategists to solve some of the most significant engineering problems in the world. We are looking for a strong technical leader with financial markets technology experience and real-time market data expertise to design, build, and support our global real-time (both low-latency and non-latency-sensitive) market data platform. This role emphasizes technical leadership, architectural ownership, and cross-team coordination rather than people management. The successful candidate will be comfortable owning a workstream end-to-end-covering design, implementation, monitoring, support, and stakeholder management-while ensuring stability of the existing environment and driving platform improvements. Principal Responsibilities Act as the technical owner for a major market data workstream, setting technical direction, defining architecture, and driving execution across the full lifecycle. Collaborate with hardware and software teams across divisions to design and build real-time market data processing and distribution systems. Lead and drive new technical initiatives for the team, including evaluating technologies, defining standards, and establishing best practices. Design and develop systems, interfaces, and tools for historical market data and trading simulations that increase research productivity. Architect and implement components of an enterprise market data platform, including components for caching, aggregation, conflation and value-added data enrichment. Optimize platform performance using network and systems programming, and advanced low-latency techniques (CPU, NIC, kernel, and application-level tuning). Lead the design and maintenance of automated test and benchmark frameworks, and tools for risk management, performance tracking, and system validation. Provide technical leadership for the support and operation of both enterprise real-time market data environments, including coordinating internal, vendor, and exchange-driven changes. Design and engineer components to automate support and management of the market data platform, including monitoring, real-time and historical metrics collection/visualization, and self-service administrative/user tools. Serve as a primary technical liaison for users of the market data environment (Portfolio Managers, trading desks, and core technology teams), translating requirements into robust technical solutions. Lead the enhancement of processes and workflows for operating the market data platform (release/deployment, incident management and remediation, exchange notification handling, defining and enforcing SLAs). Mentor and influence other engineers through code reviews, design reviews, and hands-on guidance, fostering a culture of technical excellence and accountability. Qualifications / Skills Required Degree in Computer Science or a related field with a strong background in data structures, algorithms, and object-oriented programming in modern C++. Deep understanding of Linux system internals and networking, especially in low-latency and high-throughput environments. Strong knowledge of CPU architecture and the ability to leverage CPU capabilities for performance optimization. Demonstrated experience acting as a technical lead or senior engineer owning complex systems or workstreams end-to-end (design, delivery, and operations). Able to prioritize and make trade-offs in a fast-moving, high-pressure, constantly changing environment; strong sense of urgency, ownership, and follow-through. Strong belief in and practice of extreme ownership, with a track record of taking accountability for systems in production. Effective communication and stakeholder management skills: able to work closely with business and technology users, understand their needs, and drive appropriate technical solutions. Experience building solutions on cloud environments such as GCP and AWS. Knowledge of additional programming languages such as Java, Python, or scripting (Perl, shell). Technical background in application development on complex market data systems (e.g., Bloomberg, Thomson Reuters, etc.). Experience supporting market data environments within a global organization, including internally developed DMA feed handlers and distribution infrastructure. Strong understanding of market data concepts and functionality, including data models (fields/messages), protocols (e.g., snapshot + delta), order book representations (L1/L2/L3), recovery, and reliability. Hands-on Site Reliability Engineering or DevOps experience, including system administration, automation, measurement, and release/deployment management. Experience with monitoring, metrics, and command/control tooling for distributed market data platforms, with the ability to evaluate existing solutions and drive enhancements across development and operations. Ability to operate with a high level of thoroughness and attention to detail, demonstrating strong ownership of deliverables and production systems.
Job Description Job Description Position: Integrated Photonics Engineer I Position Details Salary Range: $75,000-$95,000 annually. Location (Non-Negotiable): This is an on-site, full-time exempt, entry-level role based in Rome, NY, with work performed at AFRL and the Innovare Advancement Center at the Rome Griffiss Institute campus, working under the guidance of more senior engineers. Candidates must be located, or re-locate, within a commutable distance to Rome, NY by their agreed upon start date. Due to the clearance required for this position, only U.S. citizens are eligible to apply; as outlined in Executive Order 12968: Access to Classified Information, eligibility for access to classified information may only be granted to employees who are United States citizens. Visa sponsorship is not available for this position. Responsibilities and Duties The Integrated Photonics Engineer I supports research conducted by the Technergetics Quantum Team, assisting with the development and characterization of photonic systems for heterogeneous quantum networks, optical sensing and communication, and the enhancement of quantum systems through novel technologies: Assist with independent and team-based research to develop and advance key components of a wide-area, heterogeneous quantum network, under the guidance of senior engineers Assist with the design, simulation, and optimization of integrated photonic devices and circuits tailored for quantum information processing, sensing, and communication applications Support senior engineers in designing photonic circuits that support quantum algorithms and protocols Assist with the integration of photonics with light sources, detectors, and control systems Support system-level design and optimization tasks for data transfer, processing, and quantum entanglement in integrated photonics setups Observe and assist with the tape-out process for integrated photonic circuits under the direction of more senior engineers and fabrication teams Participate in the design and testing of integrated photonic devices, learning to use photonic simulation software (e.g., Ansys Lumerical, COMSOL, or similar) Learn and begin using layout software (e.g., GDSFactory, KLayout, or similar) to support the design of integrated photonic circuits Develop foundational expertise in integrated photonics and quantum technologies through hands-on work and mentorship Education and Certifications: This project requires at minimum a Bachelor's degree from an accredited college or university in physics, applied physics, or closely related technical field. Required Qualifications: 1 year of professional or research experience; relevant internship, thesis, or coursework-based project experience is welcomed in place of professional experience Basic familiarity with photonic device design concepts, gained through coursework, research, or lab experience Willingness to learn photonic device design software (e.g., Lumerical, COMSOL, ADS, or equivalent) on the job Foundational knowledge of quantum optics and quantum information science, gained through academic coursework Strong attention to detail and eagerness to learn integrated photonics fabrication and testing concepts Desired Qualifications: Exposure to integrated photonics fabrication concepts through academic or internship project experience Familiarity with optical testing and characterization techniques (e.g., spectroscopy, microscopy, or interferometry) Coursework or project experience touching quantum algorithms, quantum computing, or quantum communication Demonstrated ability to work well in a collaborative, mentorship-driven team environment Clearance: Applicants selected will be subject to a background check and security investigation and must meet and maintain eligibility requirements for, at minimum, Secret access to classified information. Travel: This position is not expected to require travel. Benefits: Our benefits package includes health, life, disability, dental, and vision insurance coverage and a 401(k) policy with a 3% company contribution & 3% company match. Other perks include generous Paid Time Off (including a PTO "gift day" for your birthday), 11 Federal Holidays per year, three weeks paid maternity/paternity leave, and annual technology "allowances". Even more perks include referral bonuses, professional recognition awards, healthcare stipends, tuition/education reimbursement (once specific requirements are met), and flexible daily start and stop times for most projects and positions. Company Description Technergetics is a US-based company headquartered in Utica, NY, with employees and clients located throughout the country. The Utica/Rome area is a hub of cutting-edge cyber technology research, bolstered by the Griffiss Business & Technology Park's tenants and facilities, including the Air Force Research Lab (AFRL). At Technergetics, we work with a wide variety of technologies, including mobile and web apps, Quantum computing, machine learning and artificial intelligence, AI-enabled edge devices, and many more. Beware of fraudulent job offers and postings! Technergetics will never extend an offer of employment without a thorough interview process involving face to face interviews either in-person or a virtual Teams meeting from an official Technergetics email address ( ). If you receive any correspondence from an email other than , it is a scam. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
09/29/2026
Full time
Job Description Job Description Position: Integrated Photonics Engineer I Position Details Salary Range: $75,000-$95,000 annually. Location (Non-Negotiable): This is an on-site, full-time exempt, entry-level role based in Rome, NY, with work performed at AFRL and the Innovare Advancement Center at the Rome Griffiss Institute campus, working under the guidance of more senior engineers. Candidates must be located, or re-locate, within a commutable distance to Rome, NY by their agreed upon start date. Due to the clearance required for this position, only U.S. citizens are eligible to apply; as outlined in Executive Order 12968: Access to Classified Information, eligibility for access to classified information may only be granted to employees who are United States citizens. Visa sponsorship is not available for this position. Responsibilities and Duties The Integrated Photonics Engineer I supports research conducted by the Technergetics Quantum Team, assisting with the development and characterization of photonic systems for heterogeneous quantum networks, optical sensing and communication, and the enhancement of quantum systems through novel technologies: Assist with independent and team-based research to develop and advance key components of a wide-area, heterogeneous quantum network, under the guidance of senior engineers Assist with the design, simulation, and optimization of integrated photonic devices and circuits tailored for quantum information processing, sensing, and communication applications Support senior engineers in designing photonic circuits that support quantum algorithms and protocols Assist with the integration of photonics with light sources, detectors, and control systems Support system-level design and optimization tasks for data transfer, processing, and quantum entanglement in integrated photonics setups Observe and assist with the tape-out process for integrated photonic circuits under the direction of more senior engineers and fabrication teams Participate in the design and testing of integrated photonic devices, learning to use photonic simulation software (e.g., Ansys Lumerical, COMSOL, or similar) Learn and begin using layout software (e.g., GDSFactory, KLayout, or similar) to support the design of integrated photonic circuits Develop foundational expertise in integrated photonics and quantum technologies through hands-on work and mentorship Education and Certifications: This project requires at minimum a Bachelor's degree from an accredited college or university in physics, applied physics, or closely related technical field. Required Qualifications: 1 year of professional or research experience; relevant internship, thesis, or coursework-based project experience is welcomed in place of professional experience Basic familiarity with photonic device design concepts, gained through coursework, research, or lab experience Willingness to learn photonic device design software (e.g., Lumerical, COMSOL, ADS, or equivalent) on the job Foundational knowledge of quantum optics and quantum information science, gained through academic coursework Strong attention to detail and eagerness to learn integrated photonics fabrication and testing concepts Desired Qualifications: Exposure to integrated photonics fabrication concepts through academic or internship project experience Familiarity with optical testing and characterization techniques (e.g., spectroscopy, microscopy, or interferometry) Coursework or project experience touching quantum algorithms, quantum computing, or quantum communication Demonstrated ability to work well in a collaborative, mentorship-driven team environment Clearance: Applicants selected will be subject to a background check and security investigation and must meet and maintain eligibility requirements for, at minimum, Secret access to classified information. Travel: This position is not expected to require travel. Benefits: Our benefits package includes health, life, disability, dental, and vision insurance coverage and a 401(k) policy with a 3% company contribution & 3% company match. Other perks include generous Paid Time Off (including a PTO "gift day" for your birthday), 11 Federal Holidays per year, three weeks paid maternity/paternity leave, and annual technology "allowances". Even more perks include referral bonuses, professional recognition awards, healthcare stipends, tuition/education reimbursement (once specific requirements are met), and flexible daily start and stop times for most projects and positions. Company Description Technergetics is a US-based company headquartered in Utica, NY, with employees and clients located throughout the country. The Utica/Rome area is a hub of cutting-edge cyber technology research, bolstered by the Griffiss Business & Technology Park's tenants and facilities, including the Air Force Research Lab (AFRL). At Technergetics, we work with a wide variety of technologies, including mobile and web apps, Quantum computing, machine learning and artificial intelligence, AI-enabled edge devices, and many more. Beware of fraudulent job offers and postings! Technergetics will never extend an offer of employment without a thorough interview process involving face to face interviews either in-person or a virtual Teams meeting from an official Technergetics email address ( ). If you receive any correspondence from an email other than , it is a scam. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
Job Description Job Description What Impact You'll Have GRVTY is seeking a motivated and experienced Data Manager to provide technical and managerial leadership over our overhead satellite imagery preprocessing operations. The ideal candidate is an experienced data operations leader with a passion for solving complex pipeline challenges, ensuring data integrity, and delivering mission-critical results in support of the DoW and Intelligence Community. This role serves as the primary communication interface between the customer and the team, translating requirements into successful execution across the full data operations lifecycle. What You'll be Owning Oversee and manage data, databases, and pipelines across the full data acquisition, curation, and preprocessing lifecycle, ensuring compliance with specified requirements and priorities Conduct regular Quality Control (QC) of data holdings to: Manage the data operations pipeline to include: Apply engineering best practices to optimize data pipeline efficiency and performance across all sensor modalities including: EO, FMV, HMI, and SAR Lead and manage team members by providing: Ensure data dictionaries, Entity Relationship Diagrams (ERDs), software comments, and documentation are regularly maintained and updated Serve as the primary customer communication interface to relay tasks and requirements and ensure successful work execution What You Must Have Active TS/SCI Clearance with the ability to obtain a CI/Poly People management experience, including: Team lead or project lead roles Independently initiating and driving projects to completion Strategic problem solver with excellent communication skills Experience in quantitative analysis and data operations, to include: Developing visualizations and processing complex data to create data-driven insights Data manipulation and ETL procedures Working knowledge of SQL and NoSQL database technologies Demonstrated experience managing databases and data pipelines Experience working with cloud architectures Experience working with large, complex geospatial data files and formats What Would be Nice to Have Experience using Agile/SAFe methodologies Experience with NGA enterprise technology systems such as NGA CORE and MLOps GEOINT Professional Certification - Fundamentals (F) Experience working with AI/ML technologies applied to geospatial data Pay Range: At GRVTY, we understand that compensation is influenced by many factors-such as geographic location, federal contract labor categories, wage rates, prior experience, skillsets, education, and certifications. We're proud to offer a work environment that empowers our team to achieve a strong work-life balance. GRVTY provides competitive pay, comprehensive benefits, and meaningful opportunities for professional growth. Our benefits package is designed to support the well-being of our employees and their families, and includes coverage in areas such as healthcare, financial wellness, retirement planning, family assistance, continued education, and paid time off. The pay range for this position is: $160,000 - $190,000 Pay Range: At GRVTY, we understand that compensation is influenced by many factors-such as geographic location, federal contract labor categories, wage rates, prior experience, skillsets, education, and certifications. We're proud to offer a work environment that empowers our team to achieve a strong work-life balance. GRVTY provides competitive pay, comprehensive benefits, and meaningful opportunities for professional growth. Our benefits package is designed to support the well-being of our employees and their families, and includes coverage in areas such as healthcare, financial wellness, retirement planning, family assistance, continued education, and paid time off. Virginia Pay Range $160,000-$190,000 USD Why Choose GRVTY The toughest national security challenges demand vision and ingenuity, not just resources. We deliver mission and technical expertise to outpace our adversaries. We're purpose-built to tackle the most entrenched, systemic national security issues around the world. We partner with our customers to help them overcome challenges in every corner of technology and defense-including the ones still being explored. Our growing capabilities create complementary advantages, giving on-the-ground operations the edge they need to succeed. We muster everything we have to answer every challenge presented, every day of our lives. At GRVTY, we believe that when our employees thrive, our company thrives. That's why we offer a comprehensive and competitive benefits package designed to support your well-being, growth, and work-life balance. • Robust health plan including medical, dental, and vision • Health Savings Account with company contribution • Annual Paid Time Off and Paid Holidays • Paid Parental Leave • 401k with generous company match • Training and Development Opportunities • Award Programs • Variety of Company Sponsored Events EEO Statement GRVTY, is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran and will not be discriminated against on the basis of disability. Anyone requiring reasonable accommodations should email or call with requested details. A member of the HR team will respond to your request within 2 business days. Know Your Rights: Workplace Discrimination is Illegal (eeoc.gov) Please review our current job openings and apply for the positions you believe may be a fit. If you are not an immediate fit, we will also keep your resume in our database for future opportunities.
09/29/2026
Full time
Job Description Job Description What Impact You'll Have GRVTY is seeking a motivated and experienced Data Manager to provide technical and managerial leadership over our overhead satellite imagery preprocessing operations. The ideal candidate is an experienced data operations leader with a passion for solving complex pipeline challenges, ensuring data integrity, and delivering mission-critical results in support of the DoW and Intelligence Community. This role serves as the primary communication interface between the customer and the team, translating requirements into successful execution across the full data operations lifecycle. What You'll be Owning Oversee and manage data, databases, and pipelines across the full data acquisition, curation, and preprocessing lifecycle, ensuring compliance with specified requirements and priorities Conduct regular Quality Control (QC) of data holdings to: Manage the data operations pipeline to include: Apply engineering best practices to optimize data pipeline efficiency and performance across all sensor modalities including: EO, FMV, HMI, and SAR Lead and manage team members by providing: Ensure data dictionaries, Entity Relationship Diagrams (ERDs), software comments, and documentation are regularly maintained and updated Serve as the primary customer communication interface to relay tasks and requirements and ensure successful work execution What You Must Have Active TS/SCI Clearance with the ability to obtain a CI/Poly People management experience, including: Team lead or project lead roles Independently initiating and driving projects to completion Strategic problem solver with excellent communication skills Experience in quantitative analysis and data operations, to include: Developing visualizations and processing complex data to create data-driven insights Data manipulation and ETL procedures Working knowledge of SQL and NoSQL database technologies Demonstrated experience managing databases and data pipelines Experience working with cloud architectures Experience working with large, complex geospatial data files and formats What Would be Nice to Have Experience using Agile/SAFe methodologies Experience with NGA enterprise technology systems such as NGA CORE and MLOps GEOINT Professional Certification - Fundamentals (F) Experience working with AI/ML technologies applied to geospatial data Pay Range: At GRVTY, we understand that compensation is influenced by many factors-such as geographic location, federal contract labor categories, wage rates, prior experience, skillsets, education, and certifications. We're proud to offer a work environment that empowers our team to achieve a strong work-life balance. GRVTY provides competitive pay, comprehensive benefits, and meaningful opportunities for professional growth. Our benefits package is designed to support the well-being of our employees and their families, and includes coverage in areas such as healthcare, financial wellness, retirement planning, family assistance, continued education, and paid time off. The pay range for this position is: $160,000 - $190,000 Pay Range: At GRVTY, we understand that compensation is influenced by many factors-such as geographic location, federal contract labor categories, wage rates, prior experience, skillsets, education, and certifications. We're proud to offer a work environment that empowers our team to achieve a strong work-life balance. GRVTY provides competitive pay, comprehensive benefits, and meaningful opportunities for professional growth. Our benefits package is designed to support the well-being of our employees and their families, and includes coverage in areas such as healthcare, financial wellness, retirement planning, family assistance, continued education, and paid time off. Virginia Pay Range $160,000-$190,000 USD Why Choose GRVTY The toughest national security challenges demand vision and ingenuity, not just resources. We deliver mission and technical expertise to outpace our adversaries. We're purpose-built to tackle the most entrenched, systemic national security issues around the world. We partner with our customers to help them overcome challenges in every corner of technology and defense-including the ones still being explored. Our growing capabilities create complementary advantages, giving on-the-ground operations the edge they need to succeed. We muster everything we have to answer every challenge presented, every day of our lives. At GRVTY, we believe that when our employees thrive, our company thrives. That's why we offer a comprehensive and competitive benefits package designed to support your well-being, growth, and work-life balance. • Robust health plan including medical, dental, and vision • Health Savings Account with company contribution • Annual Paid Time Off and Paid Holidays • Paid Parental Leave • 401k with generous company match • Training and Development Opportunities • Award Programs • Variety of Company Sponsored Events EEO Statement GRVTY, is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran and will not be discriminated against on the basis of disability. Anyone requiring reasonable accommodations should email or call with requested details. A member of the HR team will respond to your request within 2 business days. Know Your Rights: Workplace Discrimination is Illegal (eeoc.gov) Please review our current job openings and apply for the positions you believe may be a fit. If you are not an immediate fit, we will also keep your resume in our database for future opportunities.
Job Description Job Description Posting Title: eCommerce Operation Engineer Groundbreaking advances in synthetic biology achieved at Amyris allow us to create products which are better and safer for humans and more sustainable for the planet. The Digital group is charged with creating connected experiences and back-end services to catapult our consumer brands to global significance and impact. The eCommerce platform for the consumer business consists of Shopify, Boomi, Salesforce Marketing Cloud, Zendesk, Domo, NetSuite, and other third-party and internally-created software. We will also launch our largest brand, Biossance, in different languages in 2021, the first step in a global e-commerce expansion. The impact of this role is highly visible to our senior business leaders. You will lead mission-critical integrations and crisis management for our eCommerce stores. Responsibilities: Develop and support Integrations between Shopify and Boomi Enforce and improve eCommerce operations policies including change management, user governance, data access control, and incident management using escalations and Vendor support when needed Communicate with business stakeholders, collect requirements, and collaborate with developers to continuously improve our eCommerce systems. Monitor the health status of our eCommerce systems and email marketing campaigns through analytics and key metrics. Immediately address any risks that impact our live operations. On-call for emergency operation issues. Use your passion, skills, and wisdom to bring our digital platforms to their full potential in the best customer experience and growth for our brands. Qualifications: Bachelor's degree 5+ years related experience in Full Stack development. 3 to 5 years in enforcing and improving software change management in live operations. 3 or more years' experience in project management in system integration. Excellent communicator who explains technical details in nontechnical language. Solid understanding of cybersecurity. Demonstrated ability to work as part of a cross-functional team and willingness to take on responsibilities outside primary job description when necessary Assertive, adaptable, and demonstrates initiative in a fast-paced environment with competing priorities Proficient with MS Office, Google Suite, and Jira A customer focus, a strong drive for results, and a collaborative team player Experience with Accessible Rich Internet Applications (ARIA) is a big plus.
09/29/2026
Full time
Job Description Job Description Posting Title: eCommerce Operation Engineer Groundbreaking advances in synthetic biology achieved at Amyris allow us to create products which are better and safer for humans and more sustainable for the planet. The Digital group is charged with creating connected experiences and back-end services to catapult our consumer brands to global significance and impact. The eCommerce platform for the consumer business consists of Shopify, Boomi, Salesforce Marketing Cloud, Zendesk, Domo, NetSuite, and other third-party and internally-created software. We will also launch our largest brand, Biossance, in different languages in 2021, the first step in a global e-commerce expansion. The impact of this role is highly visible to our senior business leaders. You will lead mission-critical integrations and crisis management for our eCommerce stores. Responsibilities: Develop and support Integrations between Shopify and Boomi Enforce and improve eCommerce operations policies including change management, user governance, data access control, and incident management using escalations and Vendor support when needed Communicate with business stakeholders, collect requirements, and collaborate with developers to continuously improve our eCommerce systems. Monitor the health status of our eCommerce systems and email marketing campaigns through analytics and key metrics. Immediately address any risks that impact our live operations. On-call for emergency operation issues. Use your passion, skills, and wisdom to bring our digital platforms to their full potential in the best customer experience and growth for our brands. Qualifications: Bachelor's degree 5+ years related experience in Full Stack development. 3 to 5 years in enforcing and improving software change management in live operations. 3 or more years' experience in project management in system integration. Excellent communicator who explains technical details in nontechnical language. Solid understanding of cybersecurity. Demonstrated ability to work as part of a cross-functional team and willingness to take on responsibilities outside primary job description when necessary Assertive, adaptable, and demonstrates initiative in a fast-paced environment with competing priorities Proficient with MS Office, Google Suite, and Jira A customer focus, a strong drive for results, and a collaborative team player Experience with Accessible Rich Internet Applications (ARIA) is a big plus.
Job Description Job Description TITLE: eCommerce Operations Engineer (contractor) Groundbreaking advances in synthetic biology achieved at Client X allow us to create products that are better and safer for humans and more sustainable for the planet. The Digital group is charged with creating connected experiences and back-end services to catapult our consumer brands to global significance and impact. Up from three at the start of the year, today we support nine exciting brands: Biossance, Pipette, Costa Brazil, Purecane, OLIKA, Terasana, Rose, Inc., JVN Hair, and Eco Fabulous The compute ecosystem for the consumer business consists of Shopify, custom Shopify apps, Boomi, Salesforce Marketing Cloud, Zendesk, Domo, NetSuite, and other third-party and internally created software. We will also launch our largest brand, Biossance, in different languages in 2021, the first step in a global e-commerce expansion. We are hiring an engineer who is passionate about delivering operational excellence. You know how to deal with ambiguity and prioritize your tasks in a fast-paced environment. The impact of this role is highly visible to our senior business leaders. You will lead mission-critical integrations and crisis management for our eCommerce stores. You have the knowledge and confidence to advise others on the best practices in operations and develop a roadmap with our team for our future operations' growth. Responsibilities: Develop and support Integrations between Shopify, Boomi, NetSuite, and Salesforce. Enforce and improve eCommerce operations policies including change management, user governance, data access control, and incident management. Communicate with business stakeholders, collect requirements, and collaborate with overseas developers to continuously improve our eCommerce systems. Monitor the health status of our eCommerce systems and email marketing campaigns through analytics and key metrics. Immediately address any risks that impact our live operations. On-call for emergency operation issues. Use your passion, skills, and wisdom to bring our digital platforms to their full potential in the best customer experience and growth for our brands. Required Qualifications: Bachelor's degree. Ten (10+) years related experience in system engineering and integration. Five (5+) years of experience in project management in system integration. Five (5+) years in enforcing and improving software change management in live operations. Excellent communicator who explains technical details in nontechnical language. Solid understanding of cybersecurity. Demonstrated ability to work as part of a cross-functional team and willingness to take on responsibilities outside primary job description when necessary. Proficient with MS Office, Google Suite, and Jira. Preferred Qualifications: Experience in Shopify, Google Analytics, Google Search Console, and Google Tag Management is highly preferred. Experience with Accessible Rich Internet Applications (ARIA) is a big plus.
09/29/2026
Full time
Job Description Job Description TITLE: eCommerce Operations Engineer (contractor) Groundbreaking advances in synthetic biology achieved at Client X allow us to create products that are better and safer for humans and more sustainable for the planet. The Digital group is charged with creating connected experiences and back-end services to catapult our consumer brands to global significance and impact. Up from three at the start of the year, today we support nine exciting brands: Biossance, Pipette, Costa Brazil, Purecane, OLIKA, Terasana, Rose, Inc., JVN Hair, and Eco Fabulous The compute ecosystem for the consumer business consists of Shopify, custom Shopify apps, Boomi, Salesforce Marketing Cloud, Zendesk, Domo, NetSuite, and other third-party and internally created software. We will also launch our largest brand, Biossance, in different languages in 2021, the first step in a global e-commerce expansion. We are hiring an engineer who is passionate about delivering operational excellence. You know how to deal with ambiguity and prioritize your tasks in a fast-paced environment. The impact of this role is highly visible to our senior business leaders. You will lead mission-critical integrations and crisis management for our eCommerce stores. You have the knowledge and confidence to advise others on the best practices in operations and develop a roadmap with our team for our future operations' growth. Responsibilities: Develop and support Integrations between Shopify, Boomi, NetSuite, and Salesforce. Enforce and improve eCommerce operations policies including change management, user governance, data access control, and incident management. Communicate with business stakeholders, collect requirements, and collaborate with overseas developers to continuously improve our eCommerce systems. Monitor the health status of our eCommerce systems and email marketing campaigns through analytics and key metrics. Immediately address any risks that impact our live operations. On-call for emergency operation issues. Use your passion, skills, and wisdom to bring our digital platforms to their full potential in the best customer experience and growth for our brands. Required Qualifications: Bachelor's degree. Ten (10+) years related experience in system engineering and integration. Five (5+) years of experience in project management in system integration. Five (5+) years in enforcing and improving software change management in live operations. Excellent communicator who explains technical details in nontechnical language. Solid understanding of cybersecurity. Demonstrated ability to work as part of a cross-functional team and willingness to take on responsibilities outside primary job description when necessary. Proficient with MS Office, Google Suite, and Jira. Preferred Qualifications: Experience in Shopify, Google Analytics, Google Search Console, and Google Tag Management is highly preferred. Experience with Accessible Rich Internet Applications (ARIA) is a big plus.
Job Description Job Description Shield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software, V-BAT and X-BAT aircraft, and Aechelon simulation and synthetic reality technologies. With offices and facilities across the U.S., Europe, the Middle East, and Asia-Pacific, Shield AI's technology actively supports operations worldwide. For more information, visit . Follow Shield AI on LinkedIn, X, Instagram, and YouTube. Job Description: Shield AI builds intelligent systems that protect service members and civilians. Our products include Hivemind autonomy software and V-BAT and X-BAT aircraft, and our teams support customers and operations across the United States, Europe, the Middle East, and Asia-Pacific. The Forward Deployed Engineer, Operations & Sustainment is a highly technical, customer-facing role focused on deploying, supporting, and sustaining Hivemind products in real operating environments. This role bridges field deployment, customer operations, technical troubleshooting, training, and sustainment. This is a travel-intensive role. Candidates must be willing and able to travel at least 50% of the time, including frequent domestic and international trips, customer-site work, test events, training events, and multi-week deployments as program needs require. In this role, you will work directly with customers and internal teams to install, configure, validate, train, troubleshoot, and support Hivemind products. The role requires strong technical judgment, clear customer communication, comfort operating under field pressure, and the discipline to turn field lessons into durable support artifacts: runbooks, supported baselines, evidence packages, known-issue records, escalation paths, customer-safe updates, and product feedback. What you'll do: Deploy with customers on site globally, with a minimum expectation of 50% travel, to support installation, configuration, validation, training, troubleshooting, and sustainment of Hivemind products. Become an expert user of the Hivemind Enterprise software stack, autonomy modules, deployment tooling, supported configurations, and diagnostic workflows. Execute and improve deployment runbooks covering software install, version/configuration validation, licensing or provisioning status, pre-mission checks, log readiness, and acceptance steps. Provide hands-on technical support to customer operators, maintainers, partners, and internal field teams during deployment, test, training, demonstration, and sustainment windows. Capture and organize field evidence for triage, including logs, telemetry, recorded data, screenshots, version/configuration state, asset context, operator notes, mission phase, and environmental constraints. Drive issues through the support flow: intake, severity assessment, ownership, workaround or fix delivery, customer-safe status, closure, and learning loop. Convert recurring field issues, workarounds, customer questions, and training gaps into support tickets, knowledge-base content, known-issue records, runbooks, and product feedback. Partner with engineering, product, program, sustainment, licensing, safety, legal, commercial, and support teams to route issues to the right owner for seamless customer support.Support root-cause investigation and corrective-action validation by reproducing issues, collecting field context, testing updates, and confirming fixes or workarounds. Support Field Service Representative-style obligations when required by contract, including on-site support posture, issue intake, operator assistance, troubleshooting, documentation, escalation, and evidence capture. Projects you might work on: Deploying Hivemind software and autonomy capabilities during customer integration events, exercises, test campaigns, demonstrations, or operational support windows. Building deployment-to-sustainment handoff packages with supported baselines, configuration checklists, evidence checklists, known issues, escalation contacts, and training material. Standing up a repeatable support flow so field issues move from informal chats and ad hoc engineering asks into a durable support hub, severity model, owner route, and closure loop. Troubleshooting field behavior across software, autonomy, networking, telemetry, configuration, sensors, operator workflows, and customer environment constraints. Creating customer-safe documentation that helps operators and maintainers self-serve routine issues while preserving the right escalation path for mission-critical problems. Required qualifications: Bachelor's degree in Engineering, Computer Science, Robotics, Aerospace, or a related technical field, or equivalent practical experience. 5+ years of experience in field engineering, forward-deployed engineering, applications engineering, systems integration, flight test, robotics support, unmanned systems operations, technical operations, customer deployment, or a similar hands-on technical role. Strong technical background in software engineering, systems integration, or autonomy-adjacent systems. Proficiency writing, reading, and debugging modern C++ code. Working proficiency with Python, Bash, or similar scripting for diagnostics, automation, data handling, and field support workflows. Strong troubleshooting skills across Linux or embedded systems, networking, configuration management, logs, telemetry, release packages, sensors or payloads, and operator workflows. Excellent problem-solving, communication, training, expectation-management, and escalation skills in customer-facing environments. Ability to write clear field notes, deployment records, troubleshooting guides, evidence packages, and support updates that engineering and support teams can act on. Willingness and ability to travel at least 50% of the time, including frequent domestic and international travel and multi-week deployments. Ability to operate professionally in lab, flight-test, range, customer-site, and field environments under time pressure. Ability to comply with export-control, security, safety, sensitive-data, customer-site, and mission-specific operating requirements. Preferred qualifications: Experience with autonomy, robotics, defense aviation, unmanned aircraft, deployed defense systems, flight test, payload integration, sensors, operator systems, or edge compute environments. Experience supporting defense, government, allied, or international customers in operational, test, training, or overseas environments. Experience building or scaling a support, field-service, customer-success, sustainment, or applications-engineering function during an early product rollout. Experience with enterprise software deployment, customer support, licensing, provisioning, release management, configuration baselines, or offline/air-gapped operating environments. Hands-on experience with recorded-data analysis, diagnostic tooling, telemetry review, networking tools, system health checks, or support automation. FAA Part 107, military aviation or maintenance background, UAS operator experience, flight-test experience, systems engineering experience, or prior Field Service Representative experience. Experience using GenAI tools to accelerate troubleshooting, documentation, knowledge capture, data review, or support workflow automation. Active or prior security clearance, or eligibility to obtain one when required by program or customer need. Senior Engineer: $152000-$228,000 Staff Engineer: $181,000-$272,000 Senior Staff Engineer: $212,000-$318,000 Full-time regular employee offer package: Pay within range listed + Bonus + Benefits + Equity Temporary employee offer package: Pay within range listed above + temporary benefits package (applicable after 60 days of employment) Salary compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications, and specific work location. All offers are contingent on a cleared background and possible reference check. Military fellows and part-time employees are not eligible for benefits. Please speak to your talent acquisition representative for more information. Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. 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.
09/29/2026
Full time
Job Description Job Description Shield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software, V-BAT and X-BAT aircraft, and Aechelon simulation and synthetic reality technologies. With offices and facilities across the U.S., Europe, the Middle East, and Asia-Pacific, Shield AI's technology actively supports operations worldwide. For more information, visit . Follow Shield AI on LinkedIn, X, Instagram, and YouTube. Job Description: Shield AI builds intelligent systems that protect service members and civilians. Our products include Hivemind autonomy software and V-BAT and X-BAT aircraft, and our teams support customers and operations across the United States, Europe, the Middle East, and Asia-Pacific. The Forward Deployed Engineer, Operations & Sustainment is a highly technical, customer-facing role focused on deploying, supporting, and sustaining Hivemind products in real operating environments. This role bridges field deployment, customer operations, technical troubleshooting, training, and sustainment. This is a travel-intensive role. Candidates must be willing and able to travel at least 50% of the time, including frequent domestic and international trips, customer-site work, test events, training events, and multi-week deployments as program needs require. In this role, you will work directly with customers and internal teams to install, configure, validate, train, troubleshoot, and support Hivemind products. The role requires strong technical judgment, clear customer communication, comfort operating under field pressure, and the discipline to turn field lessons into durable support artifacts: runbooks, supported baselines, evidence packages, known-issue records, escalation paths, customer-safe updates, and product feedback. What you'll do: Deploy with customers on site globally, with a minimum expectation of 50% travel, to support installation, configuration, validation, training, troubleshooting, and sustainment of Hivemind products. Become an expert user of the Hivemind Enterprise software stack, autonomy modules, deployment tooling, supported configurations, and diagnostic workflows. Execute and improve deployment runbooks covering software install, version/configuration validation, licensing or provisioning status, pre-mission checks, log readiness, and acceptance steps. Provide hands-on technical support to customer operators, maintainers, partners, and internal field teams during deployment, test, training, demonstration, and sustainment windows. Capture and organize field evidence for triage, including logs, telemetry, recorded data, screenshots, version/configuration state, asset context, operator notes, mission phase, and environmental constraints. Drive issues through the support flow: intake, severity assessment, ownership, workaround or fix delivery, customer-safe status, closure, and learning loop. Convert recurring field issues, workarounds, customer questions, and training gaps into support tickets, knowledge-base content, known-issue records, runbooks, and product feedback. Partner with engineering, product, program, sustainment, licensing, safety, legal, commercial, and support teams to route issues to the right owner for seamless customer support.Support root-cause investigation and corrective-action validation by reproducing issues, collecting field context, testing updates, and confirming fixes or workarounds. Support Field Service Representative-style obligations when required by contract, including on-site support posture, issue intake, operator assistance, troubleshooting, documentation, escalation, and evidence capture. Projects you might work on: Deploying Hivemind software and autonomy capabilities during customer integration events, exercises, test campaigns, demonstrations, or operational support windows. Building deployment-to-sustainment handoff packages with supported baselines, configuration checklists, evidence checklists, known issues, escalation contacts, and training material. Standing up a repeatable support flow so field issues move from informal chats and ad hoc engineering asks into a durable support hub, severity model, owner route, and closure loop. Troubleshooting field behavior across software, autonomy, networking, telemetry, configuration, sensors, operator workflows, and customer environment constraints. Creating customer-safe documentation that helps operators and maintainers self-serve routine issues while preserving the right escalation path for mission-critical problems. Required qualifications: Bachelor's degree in Engineering, Computer Science, Robotics, Aerospace, or a related technical field, or equivalent practical experience. 5+ years of experience in field engineering, forward-deployed engineering, applications engineering, systems integration, flight test, robotics support, unmanned systems operations, technical operations, customer deployment, or a similar hands-on technical role. Strong technical background in software engineering, systems integration, or autonomy-adjacent systems. Proficiency writing, reading, and debugging modern C++ code. Working proficiency with Python, Bash, or similar scripting for diagnostics, automation, data handling, and field support workflows. Strong troubleshooting skills across Linux or embedded systems, networking, configuration management, logs, telemetry, release packages, sensors or payloads, and operator workflows. Excellent problem-solving, communication, training, expectation-management, and escalation skills in customer-facing environments. Ability to write clear field notes, deployment records, troubleshooting guides, evidence packages, and support updates that engineering and support teams can act on. Willingness and ability to travel at least 50% of the time, including frequent domestic and international travel and multi-week deployments. Ability to operate professionally in lab, flight-test, range, customer-site, and field environments under time pressure. Ability to comply with export-control, security, safety, sensitive-data, customer-site, and mission-specific operating requirements. Preferred qualifications: Experience with autonomy, robotics, defense aviation, unmanned aircraft, deployed defense systems, flight test, payload integration, sensors, operator systems, or edge compute environments. Experience supporting defense, government, allied, or international customers in operational, test, training, or overseas environments. Experience building or scaling a support, field-service, customer-success, sustainment, or applications-engineering function during an early product rollout. Experience with enterprise software deployment, customer support, licensing, provisioning, release management, configuration baselines, or offline/air-gapped operating environments. Hands-on experience with recorded-data analysis, diagnostic tooling, telemetry review, networking tools, system health checks, or support automation. FAA Part 107, military aviation or maintenance background, UAS operator experience, flight-test experience, systems engineering experience, or prior Field Service Representative experience. Experience using GenAI tools to accelerate troubleshooting, documentation, knowledge capture, data review, or support workflow automation. Active or prior security clearance, or eligibility to obtain one when required by program or customer need. Senior Engineer: $152000-$228,000 Staff Engineer: $181,000-$272,000 Senior Staff Engineer: $212,000-$318,000 Full-time regular employee offer package: Pay within range listed + Bonus + Benefits + Equity Temporary employee offer package: Pay within range listed above + temporary benefits package (applicable after 60 days of employment) Salary compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications, and specific work location. All offers are contingent on a cleared background and possible reference check. Military fellows and part-time employees are not eligible for benefits. Please speak to your talent acquisition representative for more information. Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. 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.
What Makes a Honda, is Who makes a Honda Honda has a clear vision for the future, and it's a joyful one. We are looking for individuals with the skills, courage, persistence, and dreams that will help us reach our future-focused goals. At our core is innovation. Honda is constantly innovating and developing solutions to drive our business with record success. We strive to be a company that serves as a source of "power" that supports people around the world who are trying to do things based on their own initiative and that helps people expand their own potential. To this end, Honda strives to realize "the joy and freedom of mobility" by developing new technologies and an innovative approach to achieve a "zero environmental footprint." We are looking for qualified individuals with diverse backgrounds, experiences, continuous improvement values, and a strong work ethic to join our team. If your goals and values align with Honda's, we want you to join our team to Bring the Future! Job Purpose Manage, lead, and evaluate divisions and themes to ensure the BU (Business Unit) uses resources responsibly (expense and manpower) and uses standard industry practices to achieve and measure this. Collaboration is needed with company resource strategy groups, senior management, and Human Resources to guarantee we are aligned with prediction and planning of staffing and budget needs. Key Accountabilities Business Analysis - • Lead the BU and Manage multiple divisions and their resource controllers in terms of budget and manpower to ensure targets are met and divisions are in strategic alignment. This includes: planning, prediction, gap analysis and c/m, and ownership of the data on which decisions will be made. • Set definition and targets for BU Efficiency and Risk. In addition, define how to measure capacity and output. Ensure the BU is aligned to company targets and objectives. • Benchmark industry standards and best practices. Source consulting partners in the industry if additional analysis is required. Identify roadblocks to efficiency at ADC. Analyze historical trends to anticipate manpower and budget needs. • Lead and support efficiency improvement themes for manpower and budget (ex: Outsourcing theme, bundling for efficiency). This may include sourcing and leading outside consulting firms. Collaborate with division management in other BU's for cross BU themes. Manpower- • Lead the BU and each of the divisional resource controllers with management of manpower planning. Act as a liaison with our Company Resource Planning groups to guarantee strategic alignment on manpower targets, plan, achievement, and conditions. Supply BU feedback as required. • Roll up BU level reports for division and BU management. Collaboration with our Business Planning group and division management will be required to do so. Support division management with creation of monthly/quarterly manpower reporting documentation. Maintain plan vs actual values for each activity. Budget - • Lead the BU and each of the divisional resource controllers with management of budget planning. Act as liaison with our Company Resource planning groups to guarantee strategic alignment on budget targets, plan, achievement, and conditions. Supply BU feedback as needed. • Roll up BU level reports for division and BU management. Collaboration with our Finance group and division management will be required to do so. Support division management with creation of monthly/quarterly budget reporting documentation. Maintain plan vs actual values for each activity. • Subject Matter Expert (SME) for necessary systems and procedures for indirect purchasing (PR/PO, NDA, MSA) and relevant regulations. • Assist BU in management of division controlled fixed asset Qualifications, Experience, and Skills Minimum educational qualifications : Bachelor's degree in related field (ex: Business Administration, Accounting, Finance, or Engineering). Equivalent relevant industry experience in project and/or resource management may be acceptable. Minimum Experience: At least 8 years of demonstrable relevant experience as a project leader, project management, and/or resource planning role. Other Job-Specific Skills: Proven experience in resource management. Understanding of regional and global business drivers for the industry (e.g. - automotive / financial). Excellent cross functional communication, organizational skills, ability to adjust to priorities, and ability to operate independently. Understanding of laws and policies regarding finance and labor. Proficient in data collection and analysis, ability to demonstrate analytical and problem solving ability Proficient in Microsoft Office programs (Excel, Word, Powerpoint, Office 365 applications such as Microsoft Teams or SharePoint. Exposure to accounting and project hours tracking software (SAP, BPC, Kronos). Workstyle This is an onsite job. One remote workday per week may be possbile with prior departmental approval. Visa sponsorship issues This position is not eligible for work visa sponsorship. What differentiates Honda and makes us an employer of choice? Total Rewards: Competitive Base Salary (pay will be based on several variables that include, but not limited to geographic location, work experience, etc.) Regional Bonus (when applicable) Manager Lease Car Program (No Cost - Car, Maintenance, and Insurance included) Industry-leading Benefit Plans (Medical, Dental, Vision, Rx) Paid time off, including vacation, holidays, shutdown Company Paid Short-Term and Long-Term Disability 401K Plan with company match + additional contribution Relocation assistance (if eligible) Career Growth: Advancement Opportunities Career Mobility Education Reimbursement for Continued learning Training and Development Programs Additional Offerings: Lifestyle Account Childcare Reimbursement Account Elder Care Support Tuition Assistance & Student Loan Repayment Wellbeing Program Community Service and Engagement Programs Product Programs Honda is an equal opportunity employer and considers qualified applicants for employment without regard to race, color, creed, religion, national origin, sex, sexual orientation, gender identity and expression, age, disability, veteran status, or any other protected factor.
09/29/2026
Full time
What Makes a Honda, is Who makes a Honda Honda has a clear vision for the future, and it's a joyful one. We are looking for individuals with the skills, courage, persistence, and dreams that will help us reach our future-focused goals. At our core is innovation. Honda is constantly innovating and developing solutions to drive our business with record success. We strive to be a company that serves as a source of "power" that supports people around the world who are trying to do things based on their own initiative and that helps people expand their own potential. To this end, Honda strives to realize "the joy and freedom of mobility" by developing new technologies and an innovative approach to achieve a "zero environmental footprint." We are looking for qualified individuals with diverse backgrounds, experiences, continuous improvement values, and a strong work ethic to join our team. If your goals and values align with Honda's, we want you to join our team to Bring the Future! Job Purpose Manage, lead, and evaluate divisions and themes to ensure the BU (Business Unit) uses resources responsibly (expense and manpower) and uses standard industry practices to achieve and measure this. Collaboration is needed with company resource strategy groups, senior management, and Human Resources to guarantee we are aligned with prediction and planning of staffing and budget needs. Key Accountabilities Business Analysis - • Lead the BU and Manage multiple divisions and their resource controllers in terms of budget and manpower to ensure targets are met and divisions are in strategic alignment. This includes: planning, prediction, gap analysis and c/m, and ownership of the data on which decisions will be made. • Set definition and targets for BU Efficiency and Risk. In addition, define how to measure capacity and output. Ensure the BU is aligned to company targets and objectives. • Benchmark industry standards and best practices. Source consulting partners in the industry if additional analysis is required. Identify roadblocks to efficiency at ADC. Analyze historical trends to anticipate manpower and budget needs. • Lead and support efficiency improvement themes for manpower and budget (ex: Outsourcing theme, bundling for efficiency). This may include sourcing and leading outside consulting firms. Collaborate with division management in other BU's for cross BU themes. Manpower- • Lead the BU and each of the divisional resource controllers with management of manpower planning. Act as a liaison with our Company Resource Planning groups to guarantee strategic alignment on manpower targets, plan, achievement, and conditions. Supply BU feedback as required. • Roll up BU level reports for division and BU management. Collaboration with our Business Planning group and division management will be required to do so. Support division management with creation of monthly/quarterly manpower reporting documentation. Maintain plan vs actual values for each activity. Budget - • Lead the BU and each of the divisional resource controllers with management of budget planning. Act as liaison with our Company Resource planning groups to guarantee strategic alignment on budget targets, plan, achievement, and conditions. Supply BU feedback as needed. • Roll up BU level reports for division and BU management. Collaboration with our Finance group and division management will be required to do so. Support division management with creation of monthly/quarterly budget reporting documentation. Maintain plan vs actual values for each activity. • Subject Matter Expert (SME) for necessary systems and procedures for indirect purchasing (PR/PO, NDA, MSA) and relevant regulations. • Assist BU in management of division controlled fixed asset Qualifications, Experience, and Skills Minimum educational qualifications : Bachelor's degree in related field (ex: Business Administration, Accounting, Finance, or Engineering). Equivalent relevant industry experience in project and/or resource management may be acceptable. Minimum Experience: At least 8 years of demonstrable relevant experience as a project leader, project management, and/or resource planning role. Other Job-Specific Skills: Proven experience in resource management. Understanding of regional and global business drivers for the industry (e.g. - automotive / financial). Excellent cross functional communication, organizational skills, ability to adjust to priorities, and ability to operate independently. Understanding of laws and policies regarding finance and labor. Proficient in data collection and analysis, ability to demonstrate analytical and problem solving ability Proficient in Microsoft Office programs (Excel, Word, Powerpoint, Office 365 applications such as Microsoft Teams or SharePoint. Exposure to accounting and project hours tracking software (SAP, BPC, Kronos). Workstyle This is an onsite job. One remote workday per week may be possbile with prior departmental approval. Visa sponsorship issues This position is not eligible for work visa sponsorship. What differentiates Honda and makes us an employer of choice? Total Rewards: Competitive Base Salary (pay will be based on several variables that include, but not limited to geographic location, work experience, etc.) Regional Bonus (when applicable) Manager Lease Car Program (No Cost - Car, Maintenance, and Insurance included) Industry-leading Benefit Plans (Medical, Dental, Vision, Rx) Paid time off, including vacation, holidays, shutdown Company Paid Short-Term and Long-Term Disability 401K Plan with company match + additional contribution Relocation assistance (if eligible) Career Growth: Advancement Opportunities Career Mobility Education Reimbursement for Continued learning Training and Development Programs Additional Offerings: Lifestyle Account Childcare Reimbursement Account Elder Care Support Tuition Assistance & Student Loan Repayment Wellbeing Program Community Service and Engagement Programs Product Programs Honda is an equal opportunity employer and considers qualified applicants for employment without regard to race, color, creed, religion, national origin, sex, sexual orientation, gender identity and expression, age, disability, veteran status, or any other protected factor.
Job Description Job Description About Radiant Radiant is an El Segundo, CA-based startup building the world's first mass-produced, portable nuclear microreactors. The company's first reactor, Kaleidos, is a 1-megawatt, fail-safe microreactor that can be transported anywhere power is needed and run for up to 5 years without refueling. Portable nuclear power with rapid-deploy capability can replace similar-sized diesel generators and provide critical asset support for hospitals, data centers, remote sites, and military bases. Radiant's unique, practical approach to nuclear development leverages modern software engineering to rapidly deliver safe, factory-built microreactors that use existing, well-qualified materials. Founded in 2020, Radiant is on track to test its first reactor at the Idaho National Laboratory this summer, with initial customer deliveries beginning in 2028. About the Role We are seeking a Reactor Operations Engineer to design and implement mission-critical procedures for reactor operators managing our groundbreaking nuclear microreactor technology. This role offers a rare opportunity to bridge engineering, operations, and human factors in a highly technical and fast-paced environment. You will collaborate with a multidisciplinary team to translate complex hardware and software designs into clear, executable, and DOE or NRC compliant procedures. Your work will ensure that Reactor Operators (ROs) and Senior Reactor Operators (SROs) can efficiently and safely execute test, commissioning, and operational activities. This position goes beyond traditional systems engineering - you will also gain hands-on experience as a Reactor Operator (RO), directly influencing the development of operational software, procedures, and future reactor designs. Responsibilities & Duties: Qualify as an operator to gain firsthand experience, ensuring procedures align with real-world execution. Collaborate closely with engineers to improve operator interfaces, procedural workflows, and software tools. Support testing and iterative improvements of digital twin scenarios, operator systems, and human-machine interfaces. Ensure compliance with DOE and NRC standards, maintaining strict formatting, clarity, and usability in procedural documentation. Develop and refine operational procedures that integrate both software and hardware-in-the-loop testing. Required Qualifications & Skills: 4+ years of full-time professional experience in engineering problem-solving, including system design, analysis, or testing. Proficiency in managing or optimizing complex hardware and software processes for testing and operations. Ability to apply first principles thinking to solve problems and make decisions in uncertain or ambiguous situations. Background in highly regulated industries (e.g., nuclear, aerospace, aviation, maritime). Desired Qualifications & Skills: Prior experience working as an operator in nuclear environments (e.g., nuclear energy, naval reactors, or radiation-controlled facilities), with familiarity in safety protocols, regulatory compliance, and high-reliability operations 2+ years of full-time nuclear operations experience. Licensed as Senior Reactor Operator or Naval equivalent. Hands-on experience in developing technical procedures, human factors engineering, or operational interface design. Prior operations background such as mission control room operator. Proficiency in Python, UNIX, for procedure testing within the simulator environments. Experience with human factors and user-centered instructions for operational workflows. Additional Requirements: Must be willing to work extended hours and weekends as necessary to accomplish our mission. Must work 100% onsite at El Segundo HQ. Willingness to travel 50% - 60% of the time as needed for projects. Benefits and Perks Stock: Substantial incentive stock plan for all full-time employees. Medical: 100% up to base silver level plan for employee + 50% dependents, offers up to Platinum plans. One Medical: Sponsored memberships for employees and their dependents. Vision: 100% top tier plan coverage + 50% for dependents. Dental: 100% top tier plan coverage, orthodontia extra, 50% for dependents. Voluntary life, accident, hospital, critical illness, commuter and FSA/HSA are offered as employee contributed benefits. 8-weeks of paid parental leave for all parents. Additional paid pregnancy leave for CA employees. Daily catered lunch. Free snacks and drinks. Flexible PTO policy. Remote workday allocation. Company and team-bonding events, happy hours and in-person camaraderie. Beautiful El Segundo headquarters close to the Pacific Ocean. Total Compensation and Benefits Radiant compensates people for impact and invests in those who continue to raise the bar. Radiant's new hire compensation package includes base salary, substantial equity grants, and comprehensive health benefits. Total compensation and level are determined through a rigorous evaluation of interview performance, experience, education, and qualifications, and are designed to support continued growth as scope, responsibility, and impact expand at Radiant. The best of today's advanced reactor builders don't wait for job postings. They join the winning team. If that's you, contact us directly for immediate opportunities: . We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity or expression, pregnancy, age, national origin, disability status, genetic information, protected veteran status, or any other characteristic protected by law. This position involves access to technology that is subject to U.S. export controls. Any job offer made will be contingent upon the applicant's capacity to serve in compliance with U.S. export controls. Compensation Range: $106,500 - $146,475
09/29/2026
Full time
Job Description Job Description About Radiant Radiant is an El Segundo, CA-based startup building the world's first mass-produced, portable nuclear microreactors. The company's first reactor, Kaleidos, is a 1-megawatt, fail-safe microreactor that can be transported anywhere power is needed and run for up to 5 years without refueling. Portable nuclear power with rapid-deploy capability can replace similar-sized diesel generators and provide critical asset support for hospitals, data centers, remote sites, and military bases. Radiant's unique, practical approach to nuclear development leverages modern software engineering to rapidly deliver safe, factory-built microreactors that use existing, well-qualified materials. Founded in 2020, Radiant is on track to test its first reactor at the Idaho National Laboratory this summer, with initial customer deliveries beginning in 2028. About the Role We are seeking a Reactor Operations Engineer to design and implement mission-critical procedures for reactor operators managing our groundbreaking nuclear microreactor technology. This role offers a rare opportunity to bridge engineering, operations, and human factors in a highly technical and fast-paced environment. You will collaborate with a multidisciplinary team to translate complex hardware and software designs into clear, executable, and DOE or NRC compliant procedures. Your work will ensure that Reactor Operators (ROs) and Senior Reactor Operators (SROs) can efficiently and safely execute test, commissioning, and operational activities. This position goes beyond traditional systems engineering - you will also gain hands-on experience as a Reactor Operator (RO), directly influencing the development of operational software, procedures, and future reactor designs. Responsibilities & Duties: Qualify as an operator to gain firsthand experience, ensuring procedures align with real-world execution. Collaborate closely with engineers to improve operator interfaces, procedural workflows, and software tools. Support testing and iterative improvements of digital twin scenarios, operator systems, and human-machine interfaces. Ensure compliance with DOE and NRC standards, maintaining strict formatting, clarity, and usability in procedural documentation. Develop and refine operational procedures that integrate both software and hardware-in-the-loop testing. Required Qualifications & Skills: 4+ years of full-time professional experience in engineering problem-solving, including system design, analysis, or testing. Proficiency in managing or optimizing complex hardware and software processes for testing and operations. Ability to apply first principles thinking to solve problems and make decisions in uncertain or ambiguous situations. Background in highly regulated industries (e.g., nuclear, aerospace, aviation, maritime). Desired Qualifications & Skills: Prior experience working as an operator in nuclear environments (e.g., nuclear energy, naval reactors, or radiation-controlled facilities), with familiarity in safety protocols, regulatory compliance, and high-reliability operations 2+ years of full-time nuclear operations experience. Licensed as Senior Reactor Operator or Naval equivalent. Hands-on experience in developing technical procedures, human factors engineering, or operational interface design. Prior operations background such as mission control room operator. Proficiency in Python, UNIX, for procedure testing within the simulator environments. Experience with human factors and user-centered instructions for operational workflows. Additional Requirements: Must be willing to work extended hours and weekends as necessary to accomplish our mission. Must work 100% onsite at El Segundo HQ. Willingness to travel 50% - 60% of the time as needed for projects. Benefits and Perks Stock: Substantial incentive stock plan for all full-time employees. Medical: 100% up to base silver level plan for employee + 50% dependents, offers up to Platinum plans. One Medical: Sponsored memberships for employees and their dependents. Vision: 100% top tier plan coverage + 50% for dependents. Dental: 100% top tier plan coverage, orthodontia extra, 50% for dependents. Voluntary life, accident, hospital, critical illness, commuter and FSA/HSA are offered as employee contributed benefits. 8-weeks of paid parental leave for all parents. Additional paid pregnancy leave for CA employees. Daily catered lunch. Free snacks and drinks. Flexible PTO policy. Remote workday allocation. Company and team-bonding events, happy hours and in-person camaraderie. Beautiful El Segundo headquarters close to the Pacific Ocean. Total Compensation and Benefits Radiant compensates people for impact and invests in those who continue to raise the bar. Radiant's new hire compensation package includes base salary, substantial equity grants, and comprehensive health benefits. Total compensation and level are determined through a rigorous evaluation of interview performance, experience, education, and qualifications, and are designed to support continued growth as scope, responsibility, and impact expand at Radiant. The best of today's advanced reactor builders don't wait for job postings. They join the winning team. If that's you, contact us directly for immediate opportunities: . We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity or expression, pregnancy, age, national origin, disability status, genetic information, protected veteran status, or any other characteristic protected by law. This position involves access to technology that is subject to U.S. export controls. Any job offer made will be contingent upon the applicant's capacity to serve in compliance with U.S. export controls. Compensation Range: $106,500 - $146,475
What Makes a Honda, is Who makes a Honda Honda has a clear vision for the future, and it's a joyful one. We are looking for individuals with the skills, courage, persistence, and dreams that will help us reach our future-focused goals. At our core is innovation. Honda is constantly innovating and developing solutions to drive our business with record success. We strive to be a company that serves as a source of "power" that supports people around the world who are trying to do things based on their own initiative and that helps people expand their own potential. To this end, Honda strives to realize "the joy and freedom of mobility" by developing new technologies and an innovative approach to achieve a "zero environmental footprint." We are looking for qualified individuals with diverse backgrounds, experiences, continuous improvement values, and a strong work ethic to join our team. If your goals and values align with Honda's, we want you to join our team to Bring the Future! Job Purpose The Senior ADAS Test Engineer will play a crucial role in coordinating and executing a wide range of testing and development tasks essential for departmental and organizational goals. They will collaborate closely with teams in Japan, international engineering teams, and external partners, to ensure seamless alignment in developing ADAS software technologies. This position takes responsibility for specific ADAS technologies, overseeing development, validation, and testing within development projects, which involves both hands-on coordination and strategic oversight to ensure the successful integration of advanced driver-assistance systems, meeting high-quality standards and surpassing customer expectations. Key Accountabilities Will be responsible for the development of the Advanced Driver Assist Systems (ADAS) control software functions, as well as tuning vehicle control systems. Develop the functional software requirements related to CAN interface, Self-Diagnostic, Failsafe Detection for each vehicle development, working with the system supplier to coordinate the integration of these functions into the vehicle, as well as verification of the functions. Performs project management activities, overseeing the testing of the related vehicle systems, negotiating the hardware and software interfaces to integrate the system into the vehicle, instrumenting and troubleshooting vehicles for testing, analyzing test data, recommending solutions for test failures, and determining root cause(s). Manage development projects/schedules, coordinate with corollary departments/suppliers and research new technologies and market trends Create and present technical documents / reports, including comprehensive root cause analysis when required. Qualifications, skills and experience Minimum educational qualifications: Must have a Bachelor's or equivalent academic degree in any of these field of study - Computer Science; Electrical / Electronics Engineering; Mechanical Engineering; Automotive Engineering or Controls Engineering Minimum relevant work experience: A minimum 5 years of relevant work experience in the industry. Other job-specific skills: Comprehensive understanding of vehicle dynamics, steering control functions and experience for tuning vehicle control systems. Comprehensive understanding of requirements management, function validation, diagnostics, and CAN structures. Hands-on mechanical ability alongside good understanding of vehicle systems. Analytical skills to prepare prototype vehicles for testing. Ability to troubleshoot system issues and propose solutions to those issues. Some travel domestic and internationally should be expected to visit various proving grounds, visit suppliers engineering offices and production locations and support Honda factories during pre-production launch timings. Must posses a valid driver's license required to operate vehicles on proving grounds. PC Skills (Excel, Word, PowerPoint, CANalyzer, CANape and other technical software) Excellent communication skills coupled with the willingness to pro-actively seek out information from others and convert concepts into specific requirements. Experience with data acquisition systems and Vector CAN tools is a plus. Comprehensive understanding of electrical hardware fundamentals and software development process Should have strong presentation skills Workstyle This is an onsite job. One remote workday per week may be possible with prior departmental approval. What differentiates Honda and make us an employer of choice? Total Rewards: Competitive Base Salary (pay will be based on several variables that include, but not limited to geographic location, work experience, etc.) Paid Overtime Regional Bonus (when applicable) Industry-leading Benefit Plans (Medical, Dental, Vision, Rx) Paid time off, including vacation, holidays, shutdown Company Paid Short-Term and Long-Term Disability 401K Plan with company match + additional contribution Relocation assistance (if eligible) Career Growth: Advancement Opportunities Career Mobility Education Reimbursement for Continued Learning Training and Development programs Additional Offerings: Tuition Assistance & Student Loan Repayment Lifestyle Account Childcare Reimbursement Account Elder Care Support Wellbeing Program Community Service and Engagement Programs Product Programs Honda is an equal opportunity employer and considers qualified applicants for employment without regard to race, color, creed, religion, national origin, sex, sexual orientation, gender identity and expression, age, disability, veteran status, or any other protected factor.
09/29/2026
Full time
What Makes a Honda, is Who makes a Honda Honda has a clear vision for the future, and it's a joyful one. We are looking for individuals with the skills, courage, persistence, and dreams that will help us reach our future-focused goals. At our core is innovation. Honda is constantly innovating and developing solutions to drive our business with record success. We strive to be a company that serves as a source of "power" that supports people around the world who are trying to do things based on their own initiative and that helps people expand their own potential. To this end, Honda strives to realize "the joy and freedom of mobility" by developing new technologies and an innovative approach to achieve a "zero environmental footprint." We are looking for qualified individuals with diverse backgrounds, experiences, continuous improvement values, and a strong work ethic to join our team. If your goals and values align with Honda's, we want you to join our team to Bring the Future! Job Purpose The Senior ADAS Test Engineer will play a crucial role in coordinating and executing a wide range of testing and development tasks essential for departmental and organizational goals. They will collaborate closely with teams in Japan, international engineering teams, and external partners, to ensure seamless alignment in developing ADAS software technologies. This position takes responsibility for specific ADAS technologies, overseeing development, validation, and testing within development projects, which involves both hands-on coordination and strategic oversight to ensure the successful integration of advanced driver-assistance systems, meeting high-quality standards and surpassing customer expectations. Key Accountabilities Will be responsible for the development of the Advanced Driver Assist Systems (ADAS) control software functions, as well as tuning vehicle control systems. Develop the functional software requirements related to CAN interface, Self-Diagnostic, Failsafe Detection for each vehicle development, working with the system supplier to coordinate the integration of these functions into the vehicle, as well as verification of the functions. Performs project management activities, overseeing the testing of the related vehicle systems, negotiating the hardware and software interfaces to integrate the system into the vehicle, instrumenting and troubleshooting vehicles for testing, analyzing test data, recommending solutions for test failures, and determining root cause(s). Manage development projects/schedules, coordinate with corollary departments/suppliers and research new technologies and market trends Create and present technical documents / reports, including comprehensive root cause analysis when required. Qualifications, skills and experience Minimum educational qualifications: Must have a Bachelor's or equivalent academic degree in any of these field of study - Computer Science; Electrical / Electronics Engineering; Mechanical Engineering; Automotive Engineering or Controls Engineering Minimum relevant work experience: A minimum 5 years of relevant work experience in the industry. Other job-specific skills: Comprehensive understanding of vehicle dynamics, steering control functions and experience for tuning vehicle control systems. Comprehensive understanding of requirements management, function validation, diagnostics, and CAN structures. Hands-on mechanical ability alongside good understanding of vehicle systems. Analytical skills to prepare prototype vehicles for testing. Ability to troubleshoot system issues and propose solutions to those issues. Some travel domestic and internationally should be expected to visit various proving grounds, visit suppliers engineering offices and production locations and support Honda factories during pre-production launch timings. Must posses a valid driver's license required to operate vehicles on proving grounds. PC Skills (Excel, Word, PowerPoint, CANalyzer, CANape and other technical software) Excellent communication skills coupled with the willingness to pro-actively seek out information from others and convert concepts into specific requirements. Experience with data acquisition systems and Vector CAN tools is a plus. Comprehensive understanding of electrical hardware fundamentals and software development process Should have strong presentation skills Workstyle This is an onsite job. One remote workday per week may be possible with prior departmental approval. What differentiates Honda and make us an employer of choice? Total Rewards: Competitive Base Salary (pay will be based on several variables that include, but not limited to geographic location, work experience, etc.) Paid Overtime Regional Bonus (when applicable) Industry-leading Benefit Plans (Medical, Dental, Vision, Rx) Paid time off, including vacation, holidays, shutdown Company Paid Short-Term and Long-Term Disability 401K Plan with company match + additional contribution Relocation assistance (if eligible) Career Growth: Advancement Opportunities Career Mobility Education Reimbursement for Continued Learning Training and Development programs Additional Offerings: Tuition Assistance & Student Loan Repayment Lifestyle Account Childcare Reimbursement Account Elder Care Support Wellbeing Program Community Service and Engagement Programs Product Programs Honda is an equal opportunity employer and considers qualified applicants for employment without regard to race, color, creed, religion, national origin, sex, sexual orientation, gender identity and expression, age, disability, veteran status, or any other protected factor.
What Makes a Honda, is Who makes a Honda Honda has a clear vision for the future, and it's a joyful one. We are looking for individuals with the skills, courage, persistence, and dreams that will help us reach our future-focused goals. At our core is innovation. Honda is constantly innovating and developing solutions to drive our business with record success. We strive to be a company that serves as a source of "power" that supports people around the world who are trying to do things based on their own initiative and that helps people expand their own potential. To this end, Honda strives to realize "the joy and freedom of mobility" by developing new technologies and an innovative approach to achieve a "zero environmental footprint." We are looking for qualified individuals with diverse backgrounds, experiences, continuous improvement values, and a strong work ethic to join our team. If your goals and values align with Honda's, we want you to join our team to Bring the Future! Job Purpose As member of Advanced Safety Controls (ASC) Division, your role would support the advancement and integration of driving assistance and vehicle dynamics control technologies working towards the future of electrification and advanced safety in Honda and Acura products. VCAP ADAS test engineers take ownership of developing a function or feature on the vehicle to suit the North American light duty market customer. You would work under the leadership and guidance of senior members in the group to build your knowledge and technical skills with autonomy as you gain experience. Key Accountabilities Verify ADAS control system software function by completing standard requirement testing on simulation bench and in vehicle by proving grounds. Work with Technical Expert and other function PIC's to countermeasure any issues found. Validate ADAS control system software through calibration by completing standard requirement testing on simulation bench and in vehicle by proving grounds. Work with Technical Expert and other function PIC's to countermeasure any issues found. Support with preparation of verification test result documentation for assigned function and clearly present documentation to Section Chief, Technical Expert and Chief Engineer at data verification reviews. Continue to submit all necessary information as the development process moves forward. Support with management of one or more functions in vehicle development projects specifically related to ADAS control system specifications, actively maintain schedule and task list including internal, Japan R&D, and other function group schedules to ensure all expected deliverables are complete at each development milestone. Correlate with Technical Expert, Section Chief, or experienced PIC to support the integration of software functions into the vehicle, as well as verification of the function Develop own expertise and capabilities by participating in assessment and development planning activities as well as formal and informal training and coaching. Gain or maintain external professional accreditations where relevant to improve performance and fulfil personal potential. Build proficiency in relevant technology and increase knowledge of external regulations and industry best practices through ongoing education, conferences, and specialist publications. Support with identifying shortcomings in function specifications through market analysis, competitive benchmarking, and other research activities. Suggest solutions to improve the overall product to the customer from these activities. Qualifications, Experience, and Skills Bachelor of Science in Mechanical Engineering, Controls Engineering, Automotive Engineering. Co-op/intern experience preferred. Basic understanding of requirements management, function validation, diagnostics, and CAN structures or micro controller communication structures. Familiarity with control specification development. Demonstrated analytical skills necessary to troubleshoot control system issues, propose and implement potential solutions. Hands on mechanical ability / understanding of vehicle systems and cross functional interactions. Strong PC Skills (Excel, PowerPoint, Project, and other technical software). Experience with data acquisition systems such as ETAS and Vector CAN tools is a plus. Experience with programming (C++, Python, Java, Matlab, etc) is a plus. Familiarity with ISO 26262 standard for functional safety. Some travel domestic and internationally should be expected to visit various proving grounds, visit suppliers' engineering offices and production locations and support Honda factories during pre-production launch timings. Valid driver's license required to operate vehicles on proving grounds. Working Conditions Commitment to work necessary work hours to achieve all responsibilities, including overtime and operating periodically at early and late day hours Must be able to lift 20 lbs. Kneeling, bending, sitting, standing, and maneuvering inside of vehicles is required. Travel is sometimes required - 5% (International travel may be requested) This is an onsite job. One remote workday per week may be possible with prior department approval. Vehicle-level testing is conducted either on-site in a specified lab or offsite at a supplier/contracted facility. What differentiates Honda and make us an employer of choice? Total Rewards: Competitive Base Salary (pay will be based on several variables that include, but not limited to geographic location, work experience, etc.) Paid Overtime Regional Bonus (when applicable) Industry-leading Benefit Plans (Medical, Dental, Vision, Rx) Paid time off, including vacation, holidays, shutdown Company Paid Short-Term and Long-Term Disability 401K Plan with company match + additional contribution Relocation assistance (if eligible) Career Growth: Advancement Opportunities Career Mobility Education Reimbursement for Continued Learning Training and Development programs Additional Offerings: Tuition Assistance & Student Loan Repayment Lifestyle Account Childcare Reimbursement Account Elder Care Support Wellbeing Program Community Service and Engagement Programs Product Programs Honda is an equal opportunity employer and considers qualified applicants for employment without regard to race, color, creed, religion, national origin, sex, sexual orientation, gender identity and expression, age, disability, veteran status, or any other protected factor.
09/29/2026
Full time
What Makes a Honda, is Who makes a Honda Honda has a clear vision for the future, and it's a joyful one. We are looking for individuals with the skills, courage, persistence, and dreams that will help us reach our future-focused goals. At our core is innovation. Honda is constantly innovating and developing solutions to drive our business with record success. We strive to be a company that serves as a source of "power" that supports people around the world who are trying to do things based on their own initiative and that helps people expand their own potential. To this end, Honda strives to realize "the joy and freedom of mobility" by developing new technologies and an innovative approach to achieve a "zero environmental footprint." We are looking for qualified individuals with diverse backgrounds, experiences, continuous improvement values, and a strong work ethic to join our team. If your goals and values align with Honda's, we want you to join our team to Bring the Future! Job Purpose As member of Advanced Safety Controls (ASC) Division, your role would support the advancement and integration of driving assistance and vehicle dynamics control technologies working towards the future of electrification and advanced safety in Honda and Acura products. VCAP ADAS test engineers take ownership of developing a function or feature on the vehicle to suit the North American light duty market customer. You would work under the leadership and guidance of senior members in the group to build your knowledge and technical skills with autonomy as you gain experience. Key Accountabilities Verify ADAS control system software function by completing standard requirement testing on simulation bench and in vehicle by proving grounds. Work with Technical Expert and other function PIC's to countermeasure any issues found. Validate ADAS control system software through calibration by completing standard requirement testing on simulation bench and in vehicle by proving grounds. Work with Technical Expert and other function PIC's to countermeasure any issues found. Support with preparation of verification test result documentation for assigned function and clearly present documentation to Section Chief, Technical Expert and Chief Engineer at data verification reviews. Continue to submit all necessary information as the development process moves forward. Support with management of one or more functions in vehicle development projects specifically related to ADAS control system specifications, actively maintain schedule and task list including internal, Japan R&D, and other function group schedules to ensure all expected deliverables are complete at each development milestone. Correlate with Technical Expert, Section Chief, or experienced PIC to support the integration of software functions into the vehicle, as well as verification of the function Develop own expertise and capabilities by participating in assessment and development planning activities as well as formal and informal training and coaching. Gain or maintain external professional accreditations where relevant to improve performance and fulfil personal potential. Build proficiency in relevant technology and increase knowledge of external regulations and industry best practices through ongoing education, conferences, and specialist publications. Support with identifying shortcomings in function specifications through market analysis, competitive benchmarking, and other research activities. Suggest solutions to improve the overall product to the customer from these activities. Qualifications, Experience, and Skills Bachelor of Science in Mechanical Engineering, Controls Engineering, Automotive Engineering. Co-op/intern experience preferred. Basic understanding of requirements management, function validation, diagnostics, and CAN structures or micro controller communication structures. Familiarity with control specification development. Demonstrated analytical skills necessary to troubleshoot control system issues, propose and implement potential solutions. Hands on mechanical ability / understanding of vehicle systems and cross functional interactions. Strong PC Skills (Excel, PowerPoint, Project, and other technical software). Experience with data acquisition systems such as ETAS and Vector CAN tools is a plus. Experience with programming (C++, Python, Java, Matlab, etc) is a plus. Familiarity with ISO 26262 standard for functional safety. Some travel domestic and internationally should be expected to visit various proving grounds, visit suppliers' engineering offices and production locations and support Honda factories during pre-production launch timings. Valid driver's license required to operate vehicles on proving grounds. Working Conditions Commitment to work necessary work hours to achieve all responsibilities, including overtime and operating periodically at early and late day hours Must be able to lift 20 lbs. Kneeling, bending, sitting, standing, and maneuvering inside of vehicles is required. Travel is sometimes required - 5% (International travel may be requested) This is an onsite job. One remote workday per week may be possible with prior department approval. Vehicle-level testing is conducted either on-site in a specified lab or offsite at a supplier/contracted facility. What differentiates Honda and make us an employer of choice? Total Rewards: Competitive Base Salary (pay will be based on several variables that include, but not limited to geographic location, work experience, etc.) Paid Overtime Regional Bonus (when applicable) Industry-leading Benefit Plans (Medical, Dental, Vision, Rx) Paid time off, including vacation, holidays, shutdown Company Paid Short-Term and Long-Term Disability 401K Plan with company match + additional contribution Relocation assistance (if eligible) Career Growth: Advancement Opportunities Career Mobility Education Reimbursement for Continued Learning Training and Development programs Additional Offerings: Tuition Assistance & Student Loan Repayment Lifestyle Account Childcare Reimbursement Account Elder Care Support Wellbeing Program Community Service and Engagement Programs Product Programs Honda is an equal opportunity employer and considers qualified applicants for employment without regard to race, color, creed, religion, national origin, sex, sexual orientation, gender identity and expression, age, disability, veteran status, or any other protected factor.
What Makes a Honda, is Who makes a Honda Honda has a clear vision for the future, and it's a joyful one. We are looking for individuals with the skills, courage, persistence, and dreams that will help us reach our future-focused goals. At our core is innovation. Honda is constantly innovating and developing solutions to drive our business with record success. We strive to be a company that serves as a source of "power" that supports people around the world who are trying to do things based on their own initiative and that helps people expand their own potential. To this end, Honda strives to realize "the joy and freedom of mobility" by developing new technologies and an innovative approach to achieve a "zero environmental footprint." We are looking for qualified individuals with diverse backgrounds, experiences, continuous improvement values, and a strong work ethic to join our team. If your goals and values align with Honda's, we want you to join our team to Bring the Future! Job Purpose The Battery Management System Engineer role is responsible for delivering defined engineering assignments with guidance, while expanding the breadth of technical knowledge and starting to deepen expertise in specific technology area. As a member of the Electrical & Electronics Architecture (EEA) Division, this position is expected to design vehicles' electrical and electronics infrastructure, integrate and package the battery related software including input from other systems and divisions. The position is responsible for Battery Management and Charge Balance system and the correct parameter application among other responsibilities. Role requires heavy correlation with counterparts in Japan side (4MOC) as well as counterparts within the electrical division. Key Accountabilities Project and team management: Breaking down project concept details into required development activities and deciding the overall ECU development plan with Technical Leadership's guidance and support, correlating technical project details with key stakeholders and negotiating the schedule for deliverables. Informing technical leadership of project status often is expected. Engineering specification design including electrical circuit hardware and software. Setting the direction to create design concepts before converting to requirements and functional specifications, then conducting design reviews with technical leadership. Engineering troubleshooting, root cause analysis and solution design: Working hands-on in prototype or mass production level vehicles to identify responsible system(s) functional issues and deciding the steps required for resolution. Testing and verification of ECU specifications related to hardware and software: Performing testing in prototype or mass production level vehicles related to electromagnetic compatibility (EMC) or verification of technical change points to ensure proper electrical functional performance, quality and reliability. Accountable to create test result reports and conduct verification reviews with technical leadership. Improvement and innovation: Identify shortcomings and suggest improvements to existing processes, systems and procedures in order to increase efficiency and other key metrics. Documentation: Management of multiple concurrent developments with the ability to recognize problems in advance and navigate the unknown, with the experience to see the next step and create a decision matrix for solving a problem or troubleshoot with multiple options. Report concern(s) items to Technical Leadership and identify/propose C/Ms for resolution after conducting thorough root cause analysis Work with suppliers to coordinate requirements, schedule activities, and address issues in a timely manner Qualifications, Experience, and Skills Minimum educational qualifications: Must have at least an Associate level college degree / diploma in engineering in any of these fields of study, e.g. - Electrical / Electronics / Mechanical / Chemical / Control Systems / Mechatronics / Physics / Materials Science or a related STEM field of study. A 4-year Bachelors degree in aforementioned fields of study preferred. Minimum work experience: At least 3 years relevant experience working in the automotive industry or an industry with similar applications / technologies. Other job-specific skills: Effective communication skills (written, verbal and presentation). Ability to cultivate and manage relationships of varying levels in/out of the organization, including supplier. Ability to acclimate to new environments, negotiate through unknowns and meet new people. Ability to manage time effectively and productively. Solid quantitative/analytical problem-solving and decision-making skills Computer skills, such as PowerPoint, Excel, MS Project, Word, CANalyzer etc. Ability to multi-task and work independently Acute attention to detail Strong collaboration skills Workstyle This is an onsite job. One remote workday per week may be possible with prior departmental approval. Travel requirements: Approx 10% annually - largely domestic and rarely international May have to work overtime on a need basis Visa sponsorship issues This position is not eligible for work visa sponsorship. What differentiates Honda and make us an employer of choice? Total Rewards: Competitive Base Salary (pay will be based on several variables that include, but not limited to geographic location, work experience, etc.) Paid Overtime Regional Bonus (when applicable) Industry-leading Benefit Plans (Medical, Dental, Vision, Rx) Paid time off, including vacation, holidays, shutdown Company Paid Short-Term and Long-Term Disability 401K Plan with company match + additional contribution Relocation assistance (if eligible) Career Growth: Advancement Opportunities Career Mobility Education Reimbursement for Continued Learning Training and Development programs Additional Offerings: Tuition Assistance & Student Loan Repayment Lifestyle Account Childcare Reimbursement Account Elder Care Support Wellbeing Program Community Service and Engagement Programs Product Programs Honda is an equal opportunity employer and considers qualified applicants for employment without regard to race, color, creed, religion, national origin, sex, sexual orientation, gender identity and expression, age, disability, veteran status, or any other protected factor.
09/29/2026
Full time
What Makes a Honda, is Who makes a Honda Honda has a clear vision for the future, and it's a joyful one. We are looking for individuals with the skills, courage, persistence, and dreams that will help us reach our future-focused goals. At our core is innovation. Honda is constantly innovating and developing solutions to drive our business with record success. We strive to be a company that serves as a source of "power" that supports people around the world who are trying to do things based on their own initiative and that helps people expand their own potential. To this end, Honda strives to realize "the joy and freedom of mobility" by developing new technologies and an innovative approach to achieve a "zero environmental footprint." We are looking for qualified individuals with diverse backgrounds, experiences, continuous improvement values, and a strong work ethic to join our team. If your goals and values align with Honda's, we want you to join our team to Bring the Future! Job Purpose The Battery Management System Engineer role is responsible for delivering defined engineering assignments with guidance, while expanding the breadth of technical knowledge and starting to deepen expertise in specific technology area. As a member of the Electrical & Electronics Architecture (EEA) Division, this position is expected to design vehicles' electrical and electronics infrastructure, integrate and package the battery related software including input from other systems and divisions. The position is responsible for Battery Management and Charge Balance system and the correct parameter application among other responsibilities. Role requires heavy correlation with counterparts in Japan side (4MOC) as well as counterparts within the electrical division. Key Accountabilities Project and team management: Breaking down project concept details into required development activities and deciding the overall ECU development plan with Technical Leadership's guidance and support, correlating technical project details with key stakeholders and negotiating the schedule for deliverables. Informing technical leadership of project status often is expected. Engineering specification design including electrical circuit hardware and software. Setting the direction to create design concepts before converting to requirements and functional specifications, then conducting design reviews with technical leadership. Engineering troubleshooting, root cause analysis and solution design: Working hands-on in prototype or mass production level vehicles to identify responsible system(s) functional issues and deciding the steps required for resolution. Testing and verification of ECU specifications related to hardware and software: Performing testing in prototype or mass production level vehicles related to electromagnetic compatibility (EMC) or verification of technical change points to ensure proper electrical functional performance, quality and reliability. Accountable to create test result reports and conduct verification reviews with technical leadership. Improvement and innovation: Identify shortcomings and suggest improvements to existing processes, systems and procedures in order to increase efficiency and other key metrics. Documentation: Management of multiple concurrent developments with the ability to recognize problems in advance and navigate the unknown, with the experience to see the next step and create a decision matrix for solving a problem or troubleshoot with multiple options. Report concern(s) items to Technical Leadership and identify/propose C/Ms for resolution after conducting thorough root cause analysis Work with suppliers to coordinate requirements, schedule activities, and address issues in a timely manner Qualifications, Experience, and Skills Minimum educational qualifications: Must have at least an Associate level college degree / diploma in engineering in any of these fields of study, e.g. - Electrical / Electronics / Mechanical / Chemical / Control Systems / Mechatronics / Physics / Materials Science or a related STEM field of study. A 4-year Bachelors degree in aforementioned fields of study preferred. Minimum work experience: At least 3 years relevant experience working in the automotive industry or an industry with similar applications / technologies. Other job-specific skills: Effective communication skills (written, verbal and presentation). Ability to cultivate and manage relationships of varying levels in/out of the organization, including supplier. Ability to acclimate to new environments, negotiate through unknowns and meet new people. Ability to manage time effectively and productively. Solid quantitative/analytical problem-solving and decision-making skills Computer skills, such as PowerPoint, Excel, MS Project, Word, CANalyzer etc. Ability to multi-task and work independently Acute attention to detail Strong collaboration skills Workstyle This is an onsite job. One remote workday per week may be possible with prior departmental approval. Travel requirements: Approx 10% annually - largely domestic and rarely international May have to work overtime on a need basis Visa sponsorship issues This position is not eligible for work visa sponsorship. What differentiates Honda and make us an employer of choice? Total Rewards: Competitive Base Salary (pay will be based on several variables that include, but not limited to geographic location, work experience, etc.) Paid Overtime Regional Bonus (when applicable) Industry-leading Benefit Plans (Medical, Dental, Vision, Rx) Paid time off, including vacation, holidays, shutdown Company Paid Short-Term and Long-Term Disability 401K Plan with company match + additional contribution Relocation assistance (if eligible) Career Growth: Advancement Opportunities Career Mobility Education Reimbursement for Continued Learning Training and Development programs Additional Offerings: Tuition Assistance & Student Loan Repayment Lifestyle Account Childcare Reimbursement Account Elder Care Support Wellbeing Program Community Service and Engagement Programs Product Programs Honda is an equal opportunity employer and considers qualified applicants for employment without regard to race, color, creed, religion, national origin, sex, sexual orientation, gender identity and expression, age, disability, veteran status, or any other protected factor.
What Makes a Honda, is Who makes a Honda Honda has a clear vision for the future, and it's a joyful one. We are looking for individuals with the skills, courage, persistence, and dreams that will help us reach our future-focused goals. At our core is innovation. Honda is constantly innovating and developing solutions to drive our business with record success. We strive to be a company that serves as a source of "power" that supports people around the world who are trying to do things based on their own initiative and that helps people expand their own potential. To this end, Honda strives to realize "the joy and freedom of mobility" by developing new technologies and an innovative approach to achieve a "zero environmental footprint." We are looking for qualified individuals with diverse backgrounds, experiences, continuous improvement values, and a strong work ethic to join our team. If your goals and values align with Honda's, we want you to join our team to Bring the Future! Job Purpose Coordinating and executing a wide range of testing and development tasks essential for departmental and organizational goals. CMBS, ACC functions, AEB. Collaborating closely with teams in Japan, international engineering teams, and external partners, this role ensures seamless alignment in developing ADAS software technologies. This position takes responsibility for specific ADAS technologies, overseeing development, validation, and testing within development projects. This involves both hands-on coordination and strategic oversight to ensure the successful integration of advanced driver-assistance systems, meeting high-quality standards and surpassing customer expectations. Key Accountabilities Responsible for the development of the Advanced Driver Assist Systems (ADAS) Longitudinal Control software functions, as well as tuning vehicle control systems. Will verify the functional software requirements related to CAN interface, Self-Diagnostic, Failsafe Detection for each vehicle development, working with the system supplier to coordinate the integration of these functions into the vehicle, as well as verification of the functions. Creates and present technical documents/reports, including comprehensive root cause analysis when required. Qualifications, Experience, and Skills Educational qualifications: Must have a college-level Bachelors degree in Electrical / Electronics Engineering, Mechatronics / Mechanical Engineering / Automotive Engineering / Controls Engineering or a related STEM field of study Minimum work experience: Must have at least 3 or more years of relevant experience working in the industry. Should have a comprehensive understanding of vehicle dynamics, braking control functions, powertrain and experience for tuning vehicle control systems Comprehensive understanding of requirements management, function validation, diagnostics, and CAN structures. Hands on mechanical ability alongside understanding of vehicle systems. Jira expertise will be an asset Storng analytical skills to prepare prototype vehicles for testing. Ability to troubleshoot system issues and propose solutions to those issues. Good PC Skills (using Micirsoft Excel, Word, PowerPoint) CANalyzer, CANape and other technical software Excellent communication skills coupled with the willingness to pro-actively seek out information from others and convert concepts into specific requirements. Experience with data acquisition systems and Vector CAN tools is a plus. Comprehensive understanding of electrical hardware fundamentals and software development process Strong presentation skills Driving licence requirement: This role will require employee to possess a valid automobile driver's license, to operate vehicles on proving grounds, whenever needed. Workstyle This is an onsite job. One remote workday per week may be possible with prior departmental approval. Travel requirements: Approx. 10% annually - largely domestic and rarely international. What differentiates Honda and make us an employer of choice? Total Rewards: Competitive Base Salary (pay will be based on several variables that include, but not limited to geographic location, work experience, etc.) Paid Overtime Regional Bonus (when applicable) Industry-leading Benefit Plans (Medical, Dental, Vision, Rx) Paid time off, including vacation, holidays, shutdown Company Paid Short-Term and Long-Term Disability 401K Plan with company match + additional contribution Relocation assistance (if eligible) Career Growth: Advancement Opportunities Career Mobility Education Reimbursement for Continued Learning Training and Development programs Additional Offerings: Tuition Assistance & Student Loan Repayment Lifestyle Account Childcare Reimbursement Account Elder Care Support Wellbeing Program Community Service and Engagement Programs Product Programs Honda is an equal opportunity employer and considers qualified applicants for employment without regard to race, color, creed, religion, national origin, sex, sexual orientation, gender identity and expression, age, disability, veteran status, or any other protected factor.
09/29/2026
Full time
What Makes a Honda, is Who makes a Honda Honda has a clear vision for the future, and it's a joyful one. We are looking for individuals with the skills, courage, persistence, and dreams that will help us reach our future-focused goals. At our core is innovation. Honda is constantly innovating and developing solutions to drive our business with record success. We strive to be a company that serves as a source of "power" that supports people around the world who are trying to do things based on their own initiative and that helps people expand their own potential. To this end, Honda strives to realize "the joy and freedom of mobility" by developing new technologies and an innovative approach to achieve a "zero environmental footprint." We are looking for qualified individuals with diverse backgrounds, experiences, continuous improvement values, and a strong work ethic to join our team. If your goals and values align with Honda's, we want you to join our team to Bring the Future! Job Purpose Coordinating and executing a wide range of testing and development tasks essential for departmental and organizational goals. CMBS, ACC functions, AEB. Collaborating closely with teams in Japan, international engineering teams, and external partners, this role ensures seamless alignment in developing ADAS software technologies. This position takes responsibility for specific ADAS technologies, overseeing development, validation, and testing within development projects. This involves both hands-on coordination and strategic oversight to ensure the successful integration of advanced driver-assistance systems, meeting high-quality standards and surpassing customer expectations. Key Accountabilities Responsible for the development of the Advanced Driver Assist Systems (ADAS) Longitudinal Control software functions, as well as tuning vehicle control systems. Will verify the functional software requirements related to CAN interface, Self-Diagnostic, Failsafe Detection for each vehicle development, working with the system supplier to coordinate the integration of these functions into the vehicle, as well as verification of the functions. Creates and present technical documents/reports, including comprehensive root cause analysis when required. Qualifications, Experience, and Skills Educational qualifications: Must have a college-level Bachelors degree in Electrical / Electronics Engineering, Mechatronics / Mechanical Engineering / Automotive Engineering / Controls Engineering or a related STEM field of study Minimum work experience: Must have at least 3 or more years of relevant experience working in the industry. Should have a comprehensive understanding of vehicle dynamics, braking control functions, powertrain and experience for tuning vehicle control systems Comprehensive understanding of requirements management, function validation, diagnostics, and CAN structures. Hands on mechanical ability alongside understanding of vehicle systems. Jira expertise will be an asset Storng analytical skills to prepare prototype vehicles for testing. Ability to troubleshoot system issues and propose solutions to those issues. Good PC Skills (using Micirsoft Excel, Word, PowerPoint) CANalyzer, CANape and other technical software Excellent communication skills coupled with the willingness to pro-actively seek out information from others and convert concepts into specific requirements. Experience with data acquisition systems and Vector CAN tools is a plus. Comprehensive understanding of electrical hardware fundamentals and software development process Strong presentation skills Driving licence requirement: This role will require employee to possess a valid automobile driver's license, to operate vehicles on proving grounds, whenever needed. Workstyle This is an onsite job. One remote workday per week may be possible with prior departmental approval. Travel requirements: Approx. 10% annually - largely domestic and rarely international. What differentiates Honda and make us an employer of choice? Total Rewards: Competitive Base Salary (pay will be based on several variables that include, but not limited to geographic location, work experience, etc.) Paid Overtime Regional Bonus (when applicable) Industry-leading Benefit Plans (Medical, Dental, Vision, Rx) Paid time off, including vacation, holidays, shutdown Company Paid Short-Term and Long-Term Disability 401K Plan with company match + additional contribution Relocation assistance (if eligible) Career Growth: Advancement Opportunities Career Mobility Education Reimbursement for Continued Learning Training and Development programs Additional Offerings: Tuition Assistance & Student Loan Repayment Lifestyle Account Childcare Reimbursement Account Elder Care Support Wellbeing Program Community Service and Engagement Programs Product Programs Honda is an equal opportunity employer and considers qualified applicants for employment without regard to race, color, creed, religion, national origin, sex, sexual orientation, gender identity and expression, age, disability, veteran status, or any other protected factor.
AI Engineer 4 (MLX) At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. What You'll Do: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, agents and multi-agent workflows, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more. Invent and introduce state-of-the-art foundation model optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. Own the end-to-end architecture for complex AI systems - ensuring maintainability, observability, and ethical alignment Define and maintain service-level objectives (SLOs) for AI reliability, including latency, uptime, and model performance drift Collaborate with infrastructure engineering to optimize GPU/TPU utilization and accelerate model inference pipelines Lead cross-functional technical reviews for new AI system deployments, ensuring security, data governance, and compliance standards are met Mentor Principal and Senior Associates on scalable design, performance tuning and research-to-production translation The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enables you to see and exploit optimization opportunities that others miss You are a resilient trailblazer who can forge new paths to achieve business goals when the route is unknown Basic Qualifications: Bachelor's Degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 2 years of experience developing AI and ML algorithms or technologies At least 4 years of experience programming with Python, Go, Scala, CUDA, or Java Preferred Qualifications: Experience leading development AI systems with tradeoff decisions around cost, latency, throughput and accuracy 6+ years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience designing, developing, delivering, and supporting AI services Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Experience in building agentic AI systems and agentic workflows Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Proficiency in designing distributed systems for model training, evaluation, and online inference at petabyte scale Experience defining AI model governance processes, including producibility, lineage tracking, and automated retaining schedules Demonstrated ability to influence architectural decisions across multiple AI product lines or platforms Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $197,300 - $225,100 for AI Engineer 4 McLean, VA: $197,300 - $225,100 for AI Engineer 4 New York, NY: $215,200 - $245,600 for AI Engineer 4 San Francisco, CA: $215,200 - $245,600 for AI Engineer 4 San Jose, CA: $215,200 - $245,600 for AI Engineer 4 Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
09/29/2026
Full time
AI Engineer 4 (MLX) At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. What You'll Do: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, agents and multi-agent workflows, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more. Invent and introduce state-of-the-art foundation model optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. Own the end-to-end architecture for complex AI systems - ensuring maintainability, observability, and ethical alignment Define and maintain service-level objectives (SLOs) for AI reliability, including latency, uptime, and model performance drift Collaborate with infrastructure engineering to optimize GPU/TPU utilization and accelerate model inference pipelines Lead cross-functional technical reviews for new AI system deployments, ensuring security, data governance, and compliance standards are met Mentor Principal and Senior Associates on scalable design, performance tuning and research-to-production translation The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enables you to see and exploit optimization opportunities that others miss You are a resilient trailblazer who can forge new paths to achieve business goals when the route is unknown Basic Qualifications: Bachelor's Degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 2 years of experience developing AI and ML algorithms or technologies At least 4 years of experience programming with Python, Go, Scala, CUDA, or Java Preferred Qualifications: Experience leading development AI systems with tradeoff decisions around cost, latency, throughput and accuracy 6+ years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience designing, developing, delivering, and supporting AI services Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Experience in building agentic AI systems and agentic workflows Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Proficiency in designing distributed systems for model training, evaluation, and online inference at petabyte scale Experience defining AI model governance processes, including producibility, lineage tracking, and automated retaining schedules Demonstrated ability to influence architectural decisions across multiple AI product lines or platforms Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $197,300 - $225,100 for AI Engineer 4 McLean, VA: $197,300 - $225,100 for AI Engineer 4 New York, NY: $215,200 - $245,600 for AI Engineer 4 San Francisco, CA: $215,200 - $245,600 for AI Engineer 4 San Jose, CA: $215,200 - $245,600 for AI Engineer 4 Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
Senior Manager, Machine Learning Engineer Do you love building and pioneering in the AI and technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors who love to solve real problems and meet real customer needs. We are seeking Machine Learning Engineers who are passionate about leveraging cutting-edge open source frameworks, advanced algorithms, and emerging technologies to join our team. As a Machine Learning Engineer, you'll have the opportunity to be on the forefront of driving major AI transformations and scaling production models across Capital One. What You'll Do: 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 Build and scale massive multi-tenant platforms that enable running large footprint ML model training and/or serving at scale 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 or higher in Computer Science, Machine Learning or a related quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Engineering) At least 6 years of experience programming with Python, Java, Golang, or C++ At least 6 years of Machine Learning experience using industry standard frameworks PyTorch or Tensorflow and libraries (Pandas, NumPy, Scikit-learn) At least 6 years of experience using and operating large scale distributed systems (Spark, Ray) to prepare AI/ML data At least 4 years of experience deploying and operating Machine Learning solutions in production and operating production services in the cloud (AWS, GCP, Azure) and using Kubernetes to manage large scale containerized ML software systems Preferred Qualifications: Master's or doctoral degree in computer science, electrical engineering, mathematics, or related field 5+ years of experience optimizing ML algorithms, configurations, and infrastructure 5+ years of experience following software development best practices including source control, testing, code reviews, CI/CD, etc. 5+ years of experience building resilient software solutions with pre-production testing, advanced deployment techniques (one-box, blue/green, gradual dial-up), monitoring, alarms, and preparing incident response plans 5+ years of experience working with Machine Learning techniques (Supervised, semi-supervised, and unsupervised, reinforcement learning, etc.) model types (Regression, Classification, Clustering, etc.), model Architectures (RNNs, CNNs, LSTMs, Transformers), training concepts (loss function, hyperparameters, regularization), and how to evaluate model accuracy and diagnose and address common issues (underfitting, overfitting) 5+ years of experience designing, implementing, and scaling production-ready data pipelines for training and evaluating ML models ML industry impact through conference presentations, papers, blog posts, open source contributions, or patents Ability to communicate complex technical and machine learning 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. Cambridge, MA: $229,900 - $262,400 for Machine Learning Engineer 5 McLean, VA: $229,900 - $262,400 for Machine Learning Engineer 5 New York, NY: $250,800 - $286,200 for Machine Learning Engineer 5 San Francisco, CA: $250,800 - $286,200 for Machine Learning Engineer 5 San Jose, CA: $250,800 - $286,200 for Machine Learning Engineer 5 Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
09/29/2026
Full time
Senior Manager, Machine Learning Engineer Do you love building and pioneering in the AI and technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors who love to solve real problems and meet real customer needs. We are seeking Machine Learning Engineers who are passionate about leveraging cutting-edge open source frameworks, advanced algorithms, and emerging technologies to join our team. As a Machine Learning Engineer, you'll have the opportunity to be on the forefront of driving major AI transformations and scaling production models across Capital One. What You'll Do: 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 Build and scale massive multi-tenant platforms that enable running large footprint ML model training and/or serving at scale 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 or higher in Computer Science, Machine Learning or a related quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Engineering) At least 6 years of experience programming with Python, Java, Golang, or C++ At least 6 years of Machine Learning experience using industry standard frameworks PyTorch or Tensorflow and libraries (Pandas, NumPy, Scikit-learn) At least 6 years of experience using and operating large scale distributed systems (Spark, Ray) to prepare AI/ML data At least 4 years of experience deploying and operating Machine Learning solutions in production and operating production services in the cloud (AWS, GCP, Azure) and using Kubernetes to manage large scale containerized ML software systems Preferred Qualifications: Master's or doctoral degree in computer science, electrical engineering, mathematics, or related field 5+ years of experience optimizing ML algorithms, configurations, and infrastructure 5+ years of experience following software development best practices including source control, testing, code reviews, CI/CD, etc. 5+ years of experience building resilient software solutions with pre-production testing, advanced deployment techniques (one-box, blue/green, gradual dial-up), monitoring, alarms, and preparing incident response plans 5+ years of experience working with Machine Learning techniques (Supervised, semi-supervised, and unsupervised, reinforcement learning, etc.) model types (Regression, Classification, Clustering, etc.), model Architectures (RNNs, CNNs, LSTMs, Transformers), training concepts (loss function, hyperparameters, regularization), and how to evaluate model accuracy and diagnose and address common issues (underfitting, overfitting) 5+ years of experience designing, implementing, and scaling production-ready data pipelines for training and evaluating ML models ML industry impact through conference presentations, papers, blog posts, open source contributions, or patents Ability to communicate complex technical and machine learning 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. Cambridge, MA: $229,900 - $262,400 for Machine Learning Engineer 5 McLean, VA: $229,900 - $262,400 for Machine Learning Engineer 5 New York, NY: $250,800 - $286,200 for Machine Learning Engineer 5 San Francisco, CA: $250,800 - $286,200 for Machine Learning Engineer 5 San Jose, CA: $250,800 - $286,200 for Machine Learning Engineer 5 Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
Senior Manager, Machine Learning Engineer Do you love building and pioneering in the AI and technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors who love to solve real problems and meet real customer needs. We are seeking Machine Learning Engineers who are passionate about leveraging cutting-edge open source frameworks, advanced algorithms, and emerging technologies to join our team. As a Machine Learning Engineer, you'll have the opportunity to be on the forefront of driving major AI transformations and scaling production models across Capital One. What You'll Do: 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 Build and scale massive multi-tenant platforms that enable running large footprint ML model training and/or serving at scale 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 or higher in Computer Science, Machine Learning or a related quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Engineering) At least 6 years of experience programming with Python, Java, Golang, or C++ At least 6 years of Machine Learning experience using industry standard frameworks PyTorch or Tensorflow and libraries (Pandas, NumPy, Scikit-learn) At least 6 years of experience using and operating large scale distributed systems (Spark, Ray) to prepare AI/ML data At least 4 years of experience deploying and operating Machine Learning solutions in production and operating production services in the cloud (AWS, GCP, Azure) and using Kubernetes to manage large scale containerized ML software systems Preferred Qualifications: Master's or doctoral degree in computer science, electrical engineering, mathematics, or related field 5+ years of experience optimizing ML algorithms, configurations, and infrastructure 5+ years of experience following software development best practices including source control, testing, code reviews, CI/CD, etc. 5+ years of experience building resilient software solutions with pre-production testing, advanced deployment techniques (one-box, blue/green, gradual dial-up), monitoring, alarms, and preparing incident response plans 5+ years of experience working with Machine Learning techniques (Supervised, semi-supervised, and unsupervised, reinforcement learning, etc.) model types (Regression, Classification, Clustering, etc.), model Architectures (RNNs, CNNs, LSTMs, Transformers), training concepts (loss function, hyperparameters, regularization), and how to evaluate model accuracy and diagnose and address common issues (underfitting, overfitting) 5+ years of experience designing, implementing, and scaling production-ready data pipelines for training and evaluating ML models ML industry impact through conference presentations, papers, blog posts, open source contributions, or patents Ability to communicate complex technical and machine learning 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. Cambridge, MA: $229,900 - $262,400 for Machine Learning Engineer 5 McLean, VA: $229,900 - $262,400 for Machine Learning Engineer 5 New York, NY: $250,800 - $286,200 for Machine Learning Engineer 5 San Francisco, CA: $250,800 - $286,200 for Machine Learning Engineer 5 San Jose, CA: $250,800 - $286,200 for Machine Learning Engineer 5 Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
09/29/2026
Full time
Senior Manager, Machine Learning Engineer Do you love building and pioneering in the AI and technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors who love to solve real problems and meet real customer needs. We are seeking Machine Learning Engineers who are passionate about leveraging cutting-edge open source frameworks, advanced algorithms, and emerging technologies to join our team. As a Machine Learning Engineer, you'll have the opportunity to be on the forefront of driving major AI transformations and scaling production models across Capital One. What You'll Do: 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 Build and scale massive multi-tenant platforms that enable running large footprint ML model training and/or serving at scale 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 or higher in Computer Science, Machine Learning or a related quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Engineering) At least 6 years of experience programming with Python, Java, Golang, or C++ At least 6 years of Machine Learning experience using industry standard frameworks PyTorch or Tensorflow and libraries (Pandas, NumPy, Scikit-learn) At least 6 years of experience using and operating large scale distributed systems (Spark, Ray) to prepare AI/ML data At least 4 years of experience deploying and operating Machine Learning solutions in production and operating production services in the cloud (AWS, GCP, Azure) and using Kubernetes to manage large scale containerized ML software systems Preferred Qualifications: Master's or doctoral degree in computer science, electrical engineering, mathematics, or related field 5+ years of experience optimizing ML algorithms, configurations, and infrastructure 5+ years of experience following software development best practices including source control, testing, code reviews, CI/CD, etc. 5+ years of experience building resilient software solutions with pre-production testing, advanced deployment techniques (one-box, blue/green, gradual dial-up), monitoring, alarms, and preparing incident response plans 5+ years of experience working with Machine Learning techniques (Supervised, semi-supervised, and unsupervised, reinforcement learning, etc.) model types (Regression, Classification, Clustering, etc.), model Architectures (RNNs, CNNs, LSTMs, Transformers), training concepts (loss function, hyperparameters, regularization), and how to evaluate model accuracy and diagnose and address common issues (underfitting, overfitting) 5+ years of experience designing, implementing, and scaling production-ready data pipelines for training and evaluating ML models ML industry impact through conference presentations, papers, blog posts, open source contributions, or patents Ability to communicate complex technical and machine learning 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. Cambridge, MA: $229,900 - $262,400 for Machine Learning Engineer 5 McLean, VA: $229,900 - $262,400 for Machine Learning Engineer 5 New York, NY: $250,800 - $286,200 for Machine Learning Engineer 5 San Francisco, CA: $250,800 - $286,200 for Machine Learning Engineer 5 San Jose, CA: $250,800 - $286,200 for Machine Learning Engineer 5 Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
AI Engineer 4 (MLX) At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. What You'll Do: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, agents and multi-agent workflows, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more. Invent and introduce state-of-the-art foundation model optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. Own the end-to-end architecture for complex AI systems - ensuring maintainability, observability, and ethical alignment Define and maintain service-level objectives (SLOs) for AI reliability, including latency, uptime, and model performance drift Collaborate with infrastructure engineering to optimize GPU/TPU utilization and accelerate model inference pipelines Lead cross-functional technical reviews for new AI system deployments, ensuring security, data governance, and compliance standards are met Mentor Principal and Senior Associates on scalable design, performance tuning and research-to-production translation The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enables you to see and exploit optimization opportunities that others miss You are a resilient trailblazer who can forge new paths to achieve business goals when the route is unknown Basic Qualifications: Bachelor's Degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 2 years of experience developing AI and ML algorithms or technologies At least 4 years of experience programming with Python, Go, Scala, CUDA, or Java Preferred Qualifications: Experience leading development AI systems with tradeoff decisions around cost, latency, throughput and accuracy 6+ years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience designing, developing, delivering, and supporting AI services Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Experience in building agentic AI systems and agentic workflows Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Proficiency in designing distributed systems for model training, evaluation, and online inference at petabyte scale Experience defining AI model governance processes, including producibility, lineage tracking, and automated retaining schedules Demonstrated ability to influence architectural decisions across multiple AI product lines or platforms Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $197,300 - $225,100 for AI Engineer 4 McLean, VA: $197,300 - $225,100 for AI Engineer 4 New York, NY: $215,200 - $245,600 for AI Engineer 4 San Francisco, CA: $215,200 - $245,600 for AI Engineer 4 San Jose, CA: $215,200 - $245,600 for AI Engineer 4 Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
09/29/2026
Full time
AI Engineer 4 (MLX) At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. What You'll Do: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, agents and multi-agent workflows, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more. Invent and introduce state-of-the-art foundation model optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. Own the end-to-end architecture for complex AI systems - ensuring maintainability, observability, and ethical alignment Define and maintain service-level objectives (SLOs) for AI reliability, including latency, uptime, and model performance drift Collaborate with infrastructure engineering to optimize GPU/TPU utilization and accelerate model inference pipelines Lead cross-functional technical reviews for new AI system deployments, ensuring security, data governance, and compliance standards are met Mentor Principal and Senior Associates on scalable design, performance tuning and research-to-production translation The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enables you to see and exploit optimization opportunities that others miss You are a resilient trailblazer who can forge new paths to achieve business goals when the route is unknown Basic Qualifications: Bachelor's Degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 2 years of experience developing AI and ML algorithms or technologies At least 4 years of experience programming with Python, Go, Scala, CUDA, or Java Preferred Qualifications: Experience leading development AI systems with tradeoff decisions around cost, latency, throughput and accuracy 6+ years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience designing, developing, delivering, and supporting AI services Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Experience in building agentic AI systems and agentic workflows Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Proficiency in designing distributed systems for model training, evaluation, and online inference at petabyte scale Experience defining AI model governance processes, including producibility, lineage tracking, and automated retaining schedules Demonstrated ability to influence architectural decisions across multiple AI product lines or platforms Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $197,300 - $225,100 for AI Engineer 4 McLean, VA: $197,300 - $225,100 for AI Engineer 4 New York, NY: $215,200 - $245,600 for AI Engineer 4 San Francisco, CA: $215,200 - $245,600 for AI Engineer 4 San Jose, CA: $215,200 - $245,600 for AI Engineer 4 Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
L3Harris is dedicated to recruiting and developing high-performing talent who are passionate about what they do. Our employees are unified in a shared dedication to our customers' mission and quest for professional growth. L3Harris provides an inclusive, engaging environment designed to empower employees and promote work-life success. Fundamental to our culture is an unwavering focus on values, dedication to our communities, and commitment to excellence in everything we do. L3Harris is the Trusted Disruptor in defense tech. With customers' mission-critical needs always in mind, our employees deliver end-to-end technology solutions connecting the space, air, land, sea and cyber domains in the interest of national security. Job Title: Senior Specialist, Systems Engineer - Space Operations Instructor Job Code: 42899 Job Location: Palm Bay, Florida Job Schedule: 9/80 (Every Other Friday Off!) Job Description: L3Harris Technologies is seeking a Space Operations Instructor to support mission-critical national security space operations within the Surveillance System Enterprise. This position serves as a subject matter expert responsible for developing, coordinating, and delivering comprehensive training programs for operational and support personnel to ensure sustained mission readiness and mission effectiveness. The Space Operations Instructor directly supports the Southbound mission and contributes to the Space Warfighting Mission through curriculum development, operational analysis, lessons-learned integration, and readiness assessment activities. This role is responsible for preparing personnel to monitor, analyze, and assess mission performance; conduct Launch and Early Operations (LEOPS) training; support anomaly response and investigation training; and produce decision-support materials for customers. The selected candidate will operate in a dynamic, high-tempo environment and collaborate with Government and Contractor personnel to improve operational proficiency, strengthen mission resilience, and drive continuous improvement in training effectiveness across the enterprise. Essential Functions: • Conduct periodic reviews of operational and support training materials to ensure content accuracy, mission relevance, and alignment with current system configurations, procedures, and operational requirements. • Plan, schedule, coordinate, and deliver formal and informal classroom instruction, hands-on system training, and mission-focused training events for operators and support personnel. • Lead training meetings and participate in operations, update briefings, exercises, strategic planning sessions, and tool demonstrations to provide subject matter expertise and identify training impacts. • Provide hands-on instruction and performance-based training for operators, as required, to strengthen operational proficiency and mission readiness. • Maintain proficiency in operational systems, mission applications, and support tools developed and operated within the contract portfolio. • Develop and maintain training documentation, lesson materials, visual aids, job aids, and step-by-step instructional products, including annotated system screenshots and reference guides. • Remain current on developing system tools, software updates, operational changes, and new capabilities; update associated training products, checklists, and reference materials accordingly. • Support training team members by sharing system knowledge, mission context, and instructional best practices. • Assist in system integration, development, test, and transition activities by serving as a subject matter expert and user representative. • Contribute to lessons learned capture, readiness assessments, and continuous improvement initiatives to enhance training quality and operational effectiveness. • Support anomaly response and investigation training activities, including the development of instructional materials and operator guidance. • Develop training-related decision-support materials and operational reference products for internal and customer use. • Travel up to 10% in support of training delivery, customer coordination, mission activities, and program requirements. Qualifications: • Bachelor's Degree and minimum 6 years of prior relevant experience. Graduate Degree and a minimum of 4 years of prior related experience. In lieu of a degree, minimum of 10 years of prior related experience. • Top Secret/SCI with SAP eligibility. • Minimum 3 years of experience with DoD Instructional Systems Design (ISD), technical training development, or equivalent instructional methodology. • Minimum 3 years of experience supporting Launch and Early Operations (LEOPS), space operations, satellite operations, or a related mission environment. Preferred Additional Skills: • Completion of an accredited instructor training course, military instructor course, or equivalent formal instructional certification. • Experience with Satellite Command and Control (Sat C2) operations. • Experience in national security space operations or other classified operational mission environments. • Experience supporting anomaly resolution, mission operations, or operator certification training. • Familiarity with operational readiness assessments, exercises, and mission rehearsal activities. • Experience developing training aids, job aids, lesson plans, and visual instructional materials for technical systems. • Prior experience supporting Government customers in an operational or mission support capacity. • Experience developing, maintaining, and delivering technical or operational training materials for mission personnel. • Ability to communicate complex technical and operational concepts effectively to both technical and non-technical audiences. • Experience working in a dynamic operational environment with evolving mission priorities and system updates. • Strong written and verbal communication skills, as well as the ability to collaborate across Government and Contractor teams. In compliance with pay transparency requirements, the salary range for this role in Florida is $92,500 to $171,500.00. This is not a guarantee of compensation or salary, as final offer amount may vary based on factors including but not limited to experience and geographic location. L3Harris also offers a variety of benefits, including health and disability insurance, 401(k) match, flexible spending accounts, EAP, education assistance, parental leave, paid time off, and company-paid holidays. The specific programs and options available to an employee may vary depending on date of hire, schedule type, and the applicability of collective bargaining agreements. L3Harris Technologies is proud to be an Equal Opportunity Employer. L3Harris is committed to treating all employees and applicants for employment with respect and dignity and maintaining a workplace that is free from unlawful discrimination. All applicants will be considered for employment without regard to race, color, religion, age, national origin, ancestry, ethnicity, gender (including pregnancy, childbirth, breastfeeding or other related medical conditions), gender identity, gender expression, sexual orientation, marital status, veteran status, disability, genetic information, citizenship status, characteristic or membership in any other group protected by federal, state or local laws. L3Harris maintains a drug-free workplace and performs pre-employment substance abuse testing and background checks, where permitted by law. Please be aware many of our positions require the ability to obtain a security clearance. Security clearances may only be granted to U.S. citizens. In addition, applicants who accept a conditional offer of employment may be subject to government security investigation(s) and must meet eligibility requirements for access to classified information. By submitting your resume for this position, you understand and agree that L3Harris Technologies may share your resume, as well as any other related personal information or documentation you provide, with its subsidiaries and affiliated companies for the purpose of considering you for other available positions. L3Harris Technologies is an E-Verify Employer. Please click here for the E-Verify Poster in English or Spanish. For information regarding your Right To Work, please click here for English or Spanish.
09/29/2026
Full time
L3Harris is dedicated to recruiting and developing high-performing talent who are passionate about what they do. Our employees are unified in a shared dedication to our customers' mission and quest for professional growth. L3Harris provides an inclusive, engaging environment designed to empower employees and promote work-life success. Fundamental to our culture is an unwavering focus on values, dedication to our communities, and commitment to excellence in everything we do. L3Harris is the Trusted Disruptor in defense tech. With customers' mission-critical needs always in mind, our employees deliver end-to-end technology solutions connecting the space, air, land, sea and cyber domains in the interest of national security. Job Title: Senior Specialist, Systems Engineer - Space Operations Instructor Job Code: 42899 Job Location: Palm Bay, Florida Job Schedule: 9/80 (Every Other Friday Off!) Job Description: L3Harris Technologies is seeking a Space Operations Instructor to support mission-critical national security space operations within the Surveillance System Enterprise. This position serves as a subject matter expert responsible for developing, coordinating, and delivering comprehensive training programs for operational and support personnel to ensure sustained mission readiness and mission effectiveness. The Space Operations Instructor directly supports the Southbound mission and contributes to the Space Warfighting Mission through curriculum development, operational analysis, lessons-learned integration, and readiness assessment activities. This role is responsible for preparing personnel to monitor, analyze, and assess mission performance; conduct Launch and Early Operations (LEOPS) training; support anomaly response and investigation training; and produce decision-support materials for customers. The selected candidate will operate in a dynamic, high-tempo environment and collaborate with Government and Contractor personnel to improve operational proficiency, strengthen mission resilience, and drive continuous improvement in training effectiveness across the enterprise. Essential Functions: • Conduct periodic reviews of operational and support training materials to ensure content accuracy, mission relevance, and alignment with current system configurations, procedures, and operational requirements. • Plan, schedule, coordinate, and deliver formal and informal classroom instruction, hands-on system training, and mission-focused training events for operators and support personnel. • Lead training meetings and participate in operations, update briefings, exercises, strategic planning sessions, and tool demonstrations to provide subject matter expertise and identify training impacts. • Provide hands-on instruction and performance-based training for operators, as required, to strengthen operational proficiency and mission readiness. • Maintain proficiency in operational systems, mission applications, and support tools developed and operated within the contract portfolio. • Develop and maintain training documentation, lesson materials, visual aids, job aids, and step-by-step instructional products, including annotated system screenshots and reference guides. • Remain current on developing system tools, software updates, operational changes, and new capabilities; update associated training products, checklists, and reference materials accordingly. • Support training team members by sharing system knowledge, mission context, and instructional best practices. • Assist in system integration, development, test, and transition activities by serving as a subject matter expert and user representative. • Contribute to lessons learned capture, readiness assessments, and continuous improvement initiatives to enhance training quality and operational effectiveness. • Support anomaly response and investigation training activities, including the development of instructional materials and operator guidance. • Develop training-related decision-support materials and operational reference products for internal and customer use. • Travel up to 10% in support of training delivery, customer coordination, mission activities, and program requirements. Qualifications: • Bachelor's Degree and minimum 6 years of prior relevant experience. Graduate Degree and a minimum of 4 years of prior related experience. In lieu of a degree, minimum of 10 years of prior related experience. • Top Secret/SCI with SAP eligibility. • Minimum 3 years of experience with DoD Instructional Systems Design (ISD), technical training development, or equivalent instructional methodology. • Minimum 3 years of experience supporting Launch and Early Operations (LEOPS), space operations, satellite operations, or a related mission environment. Preferred Additional Skills: • Completion of an accredited instructor training course, military instructor course, or equivalent formal instructional certification. • Experience with Satellite Command and Control (Sat C2) operations. • Experience in national security space operations or other classified operational mission environments. • Experience supporting anomaly resolution, mission operations, or operator certification training. • Familiarity with operational readiness assessments, exercises, and mission rehearsal activities. • Experience developing training aids, job aids, lesson plans, and visual instructional materials for technical systems. • Prior experience supporting Government customers in an operational or mission support capacity. • Experience developing, maintaining, and delivering technical or operational training materials for mission personnel. • Ability to communicate complex technical and operational concepts effectively to both technical and non-technical audiences. • Experience working in a dynamic operational environment with evolving mission priorities and system updates. • Strong written and verbal communication skills, as well as the ability to collaborate across Government and Contractor teams. In compliance with pay transparency requirements, the salary range for this role in Florida is $92,500 to $171,500.00. This is not a guarantee of compensation or salary, as final offer amount may vary based on factors including but not limited to experience and geographic location. L3Harris also offers a variety of benefits, including health and disability insurance, 401(k) match, flexible spending accounts, EAP, education assistance, parental leave, paid time off, and company-paid holidays. The specific programs and options available to an employee may vary depending on date of hire, schedule type, and the applicability of collective bargaining agreements. L3Harris Technologies is proud to be an Equal Opportunity Employer. L3Harris is committed to treating all employees and applicants for employment with respect and dignity and maintaining a workplace that is free from unlawful discrimination. All applicants will be considered for employment without regard to race, color, religion, age, national origin, ancestry, ethnicity, gender (including pregnancy, childbirth, breastfeeding or other related medical conditions), gender identity, gender expression, sexual orientation, marital status, veteran status, disability, genetic information, citizenship status, characteristic or membership in any other group protected by federal, state or local laws. L3Harris maintains a drug-free workplace and performs pre-employment substance abuse testing and background checks, where permitted by law. Please be aware many of our positions require the ability to obtain a security clearance. Security clearances may only be granted to U.S. citizens. In addition, applicants who accept a conditional offer of employment may be subject to government security investigation(s) and must meet eligibility requirements for access to classified information. By submitting your resume for this position, you understand and agree that L3Harris Technologies may share your resume, as well as any other related personal information or documentation you provide, with its subsidiaries and affiliated companies for the purpose of considering you for other available positions. L3Harris Technologies is an E-Verify Employer. Please click here for the E-Verify Poster in English or Spanish. For information regarding your Right To Work, please click here for English or Spanish.
L3Harris is dedicated to recruiting and developing high-performing talent who are passionate about what they do. Our employees are unified in a shared dedication to our customers' mission and quest for professional growth. L3Harris provides an inclusive, engaging environment designed to empower employees and promote work-life success. Fundamental to our culture is an unwavering focus on values, dedication to our communities, and commitment to excellence in everything we do. L3Harris is the Trusted Disruptor in defense tech. With customers' mission-critical needs always in mind, our employees deliver end-to-end technology solutions connecting the space, air, land, sea and cyber domains in the interest of national security. Job Title: Sr. Specialist Systems Engineer Job Code: 41390 Job Location: Salt Lake City, UT Job Schedule: 9/80: Employees work 9 out of every 14 days - totaling 80 hours worked - and have every other Friday off Job Description: L3Harris Communication Systems is seeking a Systems Engineer, Sr Specialist to support the full lifecycle of advanced data link and SATCOM systems, from concept development and capture through design, integration, verification, deployment, sustainment, and eventual product phase-out. This role is ideal for an experienced systems engineer who works effectively in complex, mission-critical environments and brings strong technical knowledge across hardware, software, and integrated system solutions. The selected candidate will contribute to technical direction, support cross-functional engineering execution, collaborate with internal and customer stakeholders, and help ensure solutions meet customer needs, mission requirements, and quality standards. As a specialist systems engineer, you will serve as a senior technical contributor for complex engineering efforts within the function. You will support architecture and requirements development, participate in key technical reviews, contribute to risk reduction and problem solving, and help strengthen systems engineering methods, tools, and practices across the team. Essential Functions: Execute systems engineering activities across the program lifecycle, including requirements development, architecture definition, interface management, integration, verification, validation, deployment, and sustainment. Manage customer, derived, and allocated requirements across system levels, ensuring decomposition, traceability, change control, and verification closure. Contribute to technical baseline development, trade studies, architecture decisions, and design reviews for complex communications systems. Develop, review, and maintain technical documentation, including specifications, interface control documents, architecture artifacts, test plans, procedures, verification strategies, and technical reports. Work closely with cross-functional teams to support system design, integration, and test activities across multiple engineering disciplines. Support technical risk and opportunity management, root-cause analysis, and corrective action planning across cost, schedule, performance, cybersecurity, and mission requirements. Partner with program leadership, customers, and engineering stakeholders to support technical planning, milestone reviews, proposals, and ongoing execution. Provide guidance and technical support to other engineers within the team and contribute to a collaborative engineering environment. Recommend improvements to systems engineering processes, tools, standards, and digital engineering practices, including MBSE where applicable. Travel 10-20% within CONUS to support customer meetings, technical reviews, demonstrations, and verification activities. Ability to obtain and maintain a Secret security clearance. Qualifications: Bachelor's degree in Electrical Engineering, Computer Engineering, Systems Engineering, or a related technical field and a minimum of 6 years of prior relevant experience; or a graduate degree and a minimum of 4 years of prior related experience; or, in lieu of a degree, a minimum of 10 years of prior related experience. Preferred Additional Skills: Experience supporting complex systems engineering efforts for integrated communications, SATCOM, or data link systems across multiple phases of the system lifecycle. Strong background in requirements management, system architecture, interface definition, integration, and verification for hardware and software-intensive systems. Demonstrated ability to work independently under general oversight and contribute to cross-functional technical efforts. Strong written, verbal, and visual communication skills, including the ability to communicate technical information clearly to engineering teams, program stakeholders, and customers. Experience designing, building, integrating, testing, and optimizing complex military communications systems, including SATCOM and line-of-sight solutions. Experience with lab test equipment such as signal generators, spectrum analyzers, power meters, and network testers. Familiarity with tools used for requirements management, modeling and simulation, configuration management, and technical documentation. Knowledge of Model-Based Systems Engineering (MBSE) methodologies and tools. Experience supporting customer engagements, design reviews, technical reviews, and major program milestones. Experience with Type 1 encryption products and cybersecurity requirements. Active Secret security clearance. L3Harris Technologies is proud to be an Equal Opportunity Employer. L3Harris is committed to treating all employees and applicants for employment with respect and dignity and maintaining a workplace that is free from unlawful discrimination. All applicants will be considered for employment without regard to race, color, religion, age, national origin, ancestry, ethnicity, gender (including pregnancy, childbirth, breastfeeding or other related medical conditions), gender identity, gender expression, sexual orientation, marital status, veteran status, disability, genetic information, citizenship status, characteristic or membership in any other group protected by federal, state or local laws. L3Harris maintains a drug-free workplace and performs pre-employment substance abuse testing and background checks, where permitted by law. Please be aware many of our positions require the ability to obtain a security clearance. Security clearances may only be granted to U.S. citizens. In addition, applicants who accept a conditional offer of employment may be subject to government security investigation(s) and must meet eligibility requirements for access to classified information. By submitting your resume for this position, you understand and agree that L3Harris Technologies may share your resume, as well as any other related personal information or documentation you provide, with its subsidiaries and affiliated companies for the purpose of considering you for other available positions. L3Harris Technologies is an E-Verify Employer. Please click here for the E-Verify Poster in English or Spanish. For information regarding your Right To Work, please click here for English or Spanish.
09/29/2026
Full time
L3Harris is dedicated to recruiting and developing high-performing talent who are passionate about what they do. Our employees are unified in a shared dedication to our customers' mission and quest for professional growth. L3Harris provides an inclusive, engaging environment designed to empower employees and promote work-life success. Fundamental to our culture is an unwavering focus on values, dedication to our communities, and commitment to excellence in everything we do. L3Harris is the Trusted Disruptor in defense tech. With customers' mission-critical needs always in mind, our employees deliver end-to-end technology solutions connecting the space, air, land, sea and cyber domains in the interest of national security. Job Title: Sr. Specialist Systems Engineer Job Code: 41390 Job Location: Salt Lake City, UT Job Schedule: 9/80: Employees work 9 out of every 14 days - totaling 80 hours worked - and have every other Friday off Job Description: L3Harris Communication Systems is seeking a Systems Engineer, Sr Specialist to support the full lifecycle of advanced data link and SATCOM systems, from concept development and capture through design, integration, verification, deployment, sustainment, and eventual product phase-out. This role is ideal for an experienced systems engineer who works effectively in complex, mission-critical environments and brings strong technical knowledge across hardware, software, and integrated system solutions. The selected candidate will contribute to technical direction, support cross-functional engineering execution, collaborate with internal and customer stakeholders, and help ensure solutions meet customer needs, mission requirements, and quality standards. As a specialist systems engineer, you will serve as a senior technical contributor for complex engineering efforts within the function. You will support architecture and requirements development, participate in key technical reviews, contribute to risk reduction and problem solving, and help strengthen systems engineering methods, tools, and practices across the team. Essential Functions: Execute systems engineering activities across the program lifecycle, including requirements development, architecture definition, interface management, integration, verification, validation, deployment, and sustainment. Manage customer, derived, and allocated requirements across system levels, ensuring decomposition, traceability, change control, and verification closure. Contribute to technical baseline development, trade studies, architecture decisions, and design reviews for complex communications systems. Develop, review, and maintain technical documentation, including specifications, interface control documents, architecture artifacts, test plans, procedures, verification strategies, and technical reports. Work closely with cross-functional teams to support system design, integration, and test activities across multiple engineering disciplines. Support technical risk and opportunity management, root-cause analysis, and corrective action planning across cost, schedule, performance, cybersecurity, and mission requirements. Partner with program leadership, customers, and engineering stakeholders to support technical planning, milestone reviews, proposals, and ongoing execution. Provide guidance and technical support to other engineers within the team and contribute to a collaborative engineering environment. Recommend improvements to systems engineering processes, tools, standards, and digital engineering practices, including MBSE where applicable. Travel 10-20% within CONUS to support customer meetings, technical reviews, demonstrations, and verification activities. Ability to obtain and maintain a Secret security clearance. Qualifications: Bachelor's degree in Electrical Engineering, Computer Engineering, Systems Engineering, or a related technical field and a minimum of 6 years of prior relevant experience; or a graduate degree and a minimum of 4 years of prior related experience; or, in lieu of a degree, a minimum of 10 years of prior related experience. Preferred Additional Skills: Experience supporting complex systems engineering efforts for integrated communications, SATCOM, or data link systems across multiple phases of the system lifecycle. Strong background in requirements management, system architecture, interface definition, integration, and verification for hardware and software-intensive systems. Demonstrated ability to work independently under general oversight and contribute to cross-functional technical efforts. Strong written, verbal, and visual communication skills, including the ability to communicate technical information clearly to engineering teams, program stakeholders, and customers. Experience designing, building, integrating, testing, and optimizing complex military communications systems, including SATCOM and line-of-sight solutions. Experience with lab test equipment such as signal generators, spectrum analyzers, power meters, and network testers. Familiarity with tools used for requirements management, modeling and simulation, configuration management, and technical documentation. Knowledge of Model-Based Systems Engineering (MBSE) methodologies and tools. Experience supporting customer engagements, design reviews, technical reviews, and major program milestones. Experience with Type 1 encryption products and cybersecurity requirements. Active Secret security clearance. L3Harris Technologies is proud to be an Equal Opportunity Employer. L3Harris is committed to treating all employees and applicants for employment with respect and dignity and maintaining a workplace that is free from unlawful discrimination. All applicants will be considered for employment without regard to race, color, religion, age, national origin, ancestry, ethnicity, gender (including pregnancy, childbirth, breastfeeding or other related medical conditions), gender identity, gender expression, sexual orientation, marital status, veteran status, disability, genetic information, citizenship status, characteristic or membership in any other group protected by federal, state or local laws. L3Harris maintains a drug-free workplace and performs pre-employment substance abuse testing and background checks, where permitted by law. Please be aware many of our positions require the ability to obtain a security clearance. Security clearances may only be granted to U.S. citizens. In addition, applicants who accept a conditional offer of employment may be subject to government security investigation(s) and must meet eligibility requirements for access to classified information. By submitting your resume for this position, you understand and agree that L3Harris Technologies may share your resume, as well as any other related personal information or documentation you provide, with its subsidiaries and affiliated companies for the purpose of considering you for other available positions. L3Harris Technologies is an E-Verify Employer. Please click here for the E-Verify Poster in English or Spanish. For information regarding your Right To Work, please click here for English or Spanish.
