{"schemaVersion":"jobsearcher.job.v1","id":"28fb720498af7c5713a1f77e","url":"https://jobsearcher.com/jobs/28fb720498af7c5713a1f77e","canonicalUrl":"https://jobsearcher.com/jobs/28fb720498af7c5713a1f77e","title":"A/AI Machine Learning Engineering - E2","description":"Overview\nIn this role you apply AI/ML to accelerate software integration and verification across simulation and lab environments. You will work with software, systems, and test teams to mature AI-enabled features before full system integration. You’ll design pipelines and workflows that span virtual and hardware environments, tackling cross-domain integration challenges. You will help shape the development lifecycle by advocating AI use and delivering scalable, interoperable solutions. This position offers the chance to contribute to mission-critical capabilities in a collaborative, technically rigorous setting.\n\nCompensation / BenefitsMedicalDentalVisionFlexible work arrangements401(k) matchPaid time off\nResponsibilitiesIntegrate AI/ML into existing and emerging software systems, simulation frameworks, and lab environmentsCollaborate with software developers to embed AI-driven features early in developmentDevelop and maintain integration pipelines across virtual and hardware test environmentsDesign, implement, and evaluate AI-enabled workflows for system-level capabilitiesTroubleshoot complex integration issues across software, data, and interfacesContribute to tools, automation, and infrastructure for scalable AI integrationDefine data requirements, interfaces, and performance metrics for AI-enabled developmentSupport development lifecycle from requirements through testing in autonomy and AI contexts\nKey requirementsBachelor's degree in Computer Science, Software Engineering, Electrical Engineering, or related field1+ years of software engineering or systems integration experienceStrong programming skills in Python, C++, or JavaExperience applying and integrating AI/ML concepts and frameworks (e.g., model integration, inference pipelines)Experience in Linux-based development environmentsAbility to debug and resolve complex cross-domain issuesExperience with software integration, APIs, and distributed systemsCollaborative mindset for working with cross-functional teamsPythonC++Java","company":"Lockheed Martin","rawCompany":"lockheed martin","city":"Dallas","state":"TX","isRemote":false,"isActive":false,"createdAt":"2026-09-22T04:16:05.444Z","occupations":[{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"},{"code":"15-1211.00","title":"Computer Systems Analysts","slug":"computer-systems-analysts"}],"industries":[{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"513210","title":"Software Publishers","slug":"software-publishers"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"A/AI Machine Learning Engineering - E2","description":"Overview\nIn this role you apply AI/ML to accelerate software integration and verification across simulation and lab environments. You will work with software, systems, and test teams to mature AI-enabled features before full system integration. You’ll design pipelines and workflows that span virtual and hardware environments, tackling cross-domain integration challenges. You will help shape the development lifecycle by advocating AI use and delivering scalable, interoperable solutions. This position offers the chance to contribute to mission-critical capabilities in a collaborative, technically rigorous setting.\n\nCompensation / BenefitsMedicalDentalVisionFlexible work arrangements401(k) matchPaid time off\nResponsibilitiesIntegrate AI/ML into existing and emerging software systems, simulation frameworks, and lab environmentsCollaborate with software developers to embed AI-driven features early in developmentDevelop and maintain integration pipelines across virtual and hardware test environmentsDesign, implement, and evaluate AI-enabled workflows for system-level capabilitiesTroubleshoot complex integration issues across software, data, and interfacesContribute to tools, automation, and infrastructure for scalable AI integrationDefine data requirements, interfaces, and performance metrics for AI-enabled developmentSupport development lifecycle from requirements through testing in autonomy and AI contexts\nKey requirementsBachelor's degree in Computer Science, Software Engineering, Electrical Engineering, or related field1+ years of software engineering or systems integration experienceStrong programming skills in Python, C++, or JavaExperience applying and integrating AI/ML concepts and frameworks (e.g., model integration, inference pipelines)Experience in Linux-based development environmentsAbility to debug and resolve complex cross-domain issuesExperience with software integration, APIs, and distributed systemsCollaborative mindset for working with cross-functional teamsPythonC++Java","datePosted":"2026-09-22T04:16:05.444Z","dateModified":"2026-09-22T04:16:05.444Z","hiringOrganization":{"@type":"Organization","name":"Lockheed Martin","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Dallas","addressRegion":"TX","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"28fb720498af7c5713a1f77e"},"url":"https://jobsearcher.com/jobs/28fb720498af7c5713a1f77e"}}