{"schemaVersion":"jobsearcher.job.v1","id":"8028f85589cb7fe1f552eecf","url":"https://jobsearcher.com/jobs/8028f85589cb7fe1f552eecf","canonicalUrl":"https://jobsearcher.com/jobs/8028f85589cb7fe1f552eecf","title":"ML and Agentic Systems Engineer","description":"At NVIDIA, we're not just building the future, we're generating it! Our Cosmos team is pushing the boundaries of multimodal AI, simulation, and world models. As we enter the next phase, we are building agentic systems that can reason about, build, evaluate, and improve AI systems themselves. We are building systems where AI doesn't just run models but helps build them. This role is about creating the meta-layer of modern ML: the agents, tooling, pipelines, and feedback loops that make model development faster, smarter, and increasingly automated. Rather than focusing on inventing individual model architectures, you will build the systems that help models and teams improve continuously. We are looking for exceptional engineers who are passionate about the idea of AI-native software engineering: systems where agents can work with code, data, experiments, and evaluations to accelerate how machine learning gets done.\nWhat you'll be doing: Design and implement agentic workflows across the ML lifecycle, including data generation and curation, evaluation, debugging, training orchestration, and iteration.\nBuild AI-native systems in which models and agents can interact with codebases, tools, experiments, and environments to improve developer and researcher productivity.\nCreate self-improving loops where agents help generate data, surface failures, evaluate outputs, and drive better decisions across the system.\nOwn and evolve large-scale Python and PyTorch codebases, turning fast-moving ideas into robust, modular, reusable software.\nDesign and scale evaluation platforms that combine automated metrics, human feedback, and agent-driven analysis.\nBuild and maintain multimodal ML pipelines spanning data processing, experimentation, benchmarking, and deployment.\nIntegrate open-source and internal components into unified systems that enable rapid experimentation and reliable iteration.\nRaise the bar on engineering excellence across the team through strong practices in testing, reproducibility, packaging, code health, and maintainability.\nWhat we need to see: Significant experience building machine learning systems and software platforms, not only models.\nExpert-level Python skills, with strong judgment around modularity, abstraction boundaries, and long-term code health.\nDeep familiarity with PyTorch, including the ability to debug, adapt, and extend model behavior within larger software systems.\nExperience building pipelines, evaluation systems, developer tooling, or workflow automation for ML at meaningful scale.\nStrong software engineering fundamentals, including system design, testing, packaging, debugging, and collaborative codebase evolution.\nStrong agency in LLM-based systems, such as tool use, planning, multi-step workflows, code agents, or automation over data and experiments.\nComfort operating in fast-moving environments where ambiguous ideas must be turned into useful systems quickly.\nBS, MS, or equivalent experience in Computer Science, Engineering, or a related field.\n12+ years of relevant software development experience\nWays to stand out from the crowd: You have built agent-based systems that do real work: coding, evaluation, data generation, triage, experimentation, or orchestration.\nYou have contributed to impactful open-source ML, Python, or developer tooling.\nBackground with context compression and agent memory techniques.\nFamiliarity with agent safety and agent identity (AuthN, AuthZ, IAM).\nYou bring a high bar for software craftsmanship, but know how to apply it in research-adjacent environments without slowing innovation down.\nYour base salary will be determined based on your location, experience, and the pay of employees in similar positions.\nThe base salary range is 224,000 USD - 356,500 USD for Level 5, and 272,000 USD - 431,250 USD for Level 6.\nYou will also be eligible for equity and benefits.\nApplications for this job will be accepted at least until August 24, 2026. This posting is for an existing vacancy.\nNVIDIA uses AI tools in its recruiting processes.\nNVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer.\nAs we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.\nNVIDIA pioneered accelerated computing.\nToday, our AI infrastructure powers global intelligence, transforming every industry.\nLearn more about NVIDIA.\n\n#J-18808-Ljbffr","company":"NVIDIA","rawCompany":"nvidia","city":"Brooklyn","state":"NY","isRemote":false,"isActive":false,"createdAt":"2026-08-23T03:18:11.798Z","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":"15-1221.00","title":"Computer and Information Research Scientists","slug":"computer-and-information-research-scientists"}],"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":"ML and Agentic Systems Engineer","description":"At NVIDIA, we're not just building the future, we're generating it! Our Cosmos team is pushing the boundaries of multimodal AI, simulation, and world models. As we enter the next phase, we are building agentic systems that can reason about, build, evaluate, and improve AI systems themselves. We are building systems where AI doesn't just run models but helps build them. This role is about creating the meta-layer of modern ML: the agents, tooling, pipelines, and feedback loops that make model development faster, smarter, and increasingly automated. Rather than focusing on inventing individual model architectures, you will build the systems that help models and teams improve continuously. We are looking for exceptional engineers who are passionate about the idea of AI-native software engineering: systems where agents can work with code, data, experiments, and evaluations to accelerate how machine learning gets done.\nWhat you'll be doing: Design and implement agentic workflows across the ML lifecycle, including data generation and curation, evaluation, debugging, training orchestration, and iteration.\nBuild AI-native systems in which models and agents can interact with codebases, tools, experiments, and environments to improve developer and researcher productivity.\nCreate self-improving loops where agents help generate data, surface failures, evaluate outputs, and drive better decisions across the system.\nOwn and evolve large-scale Python and PyTorch codebases, turning fast-moving ideas into robust, modular, reusable software.\nDesign and scale evaluation platforms that combine automated metrics, human feedback, and agent-driven analysis.\nBuild and maintain multimodal ML pipelines spanning data processing, experimentation, benchmarking, and deployment.\nIntegrate open-source and internal components into unified systems that enable rapid experimentation and reliable iteration.\nRaise the bar on engineering excellence across the team through strong practices in testing, reproducibility, packaging, code health, and maintainability.\nWhat we need to see: Significant experience building machine learning systems and software platforms, not only models.\nExpert-level Python skills, with strong judgment around modularity, abstraction boundaries, and long-term code health.\nDeep familiarity with PyTorch, including the ability to debug, adapt, and extend model behavior within larger software systems.\nExperience building pipelines, evaluation systems, developer tooling, or workflow automation for ML at meaningful scale.\nStrong software engineering fundamentals, including system design, testing, packaging, debugging, and collaborative codebase evolution.\nStrong agency in LLM-based systems, such as tool use, planning, multi-step workflows, code agents, or automation over data and experiments.\nComfort operating in fast-moving environments where ambiguous ideas must be turned into useful systems quickly.\nBS, MS, or equivalent experience in Computer Science, Engineering, or a related field.\n12+ years of relevant software development experience\nWays to stand out from the crowd: You have built agent-based systems that do real work: coding, evaluation, data generation, triage, experimentation, or orchestration.\nYou have contributed to impactful open-source ML, Python, or developer tooling.\nBackground with context compression and agent memory techniques.\nFamiliarity with agent safety and agent identity (AuthN, AuthZ, IAM).\nYou bring a high bar for software craftsmanship, but know how to apply it in research-adjacent environments without slowing innovation down.\nYour base salary will be determined based on your location, experience, and the pay of employees in similar positions.\nThe base salary range is 224,000 USD - 356,500 USD for Level 5, and 272,000 USD - 431,250 USD for Level 6.\nYou will also be eligible for equity and benefits.\nApplications for this job will be accepted at least until August 24, 2026. This posting is for an existing vacancy.\nNVIDIA uses AI tools in its recruiting processes.\nNVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer.\nAs we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.\nNVIDIA pioneered accelerated computing.\nToday, our AI infrastructure powers global intelligence, transforming every industry.\nLearn more about NVIDIA.\n\n#J-18808-Ljbffr","datePosted":"2026-08-23T03:18:11.798Z","dateModified":"2026-08-23T03:18:11.798Z","hiringOrganization":{"@type":"Organization","name":"NVIDIA","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Brooklyn","addressRegion":"NY","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"8028f85589cb7fe1f552eecf"},"url":"https://jobsearcher.com/jobs/8028f85589cb7fe1f552eecf"}}