{"schemaVersion":"jobsearcher.job.v1","id":"9ba41561f63ae91d32fac40e","url":"https://jobsearcher.com/jobs/9ba41561f63ae91d32fac40e","canonicalUrl":"https://jobsearcher.com/jobs/9ba41561f63ae91d32fac40e","title":"Senior Software Engineer, Open Harness Engineering","description":"NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world.\n\nAre you excited about open-source software, developer tools, and the future of agentic applications? We are looking for a Senior Software Engineer to help build the core libraries, evaluation systems, and reusable harness capabilities that make AI agents safer, faster, and easier for developers to trust. In this role, you will work hands-on across open-source agent harnesses, sandboxed execution, model-provider infrastructure, and agent benchmarks to help improve the next generation of agents. You will turn agent-evaluation evidence into real improvements: diagnosing failures, contributing upstream, and proving quality, reliability, cost, and latency gains across models. Join our creative engineering team building foundational technology for the future wave of autonomous software systems!\n\nWhat you'll be doing:\n\nDefine and evolve the technical approach for evaluating and improving open agent harnesses across frameworks, models, and benchmark environments.\n\nBuild and operate scalable, reproducible evaluation systems spanning CI, scheduled compute, sandboxed execution, artifact provenance, trace capture, and analysis.\n\nDiagnose agent failures from traces, logs, tool results, and benchmark artifacts, separating harness, evaluator, environment, inference, and model causes.\n\nDesign controlled experiments and promotion criteria that distinguish genuine harness improvements from noise, benchmark artifacts, or model-specific gains.\n\nShip focused harness and runtime improvements, including upstream open-source contributions, detectors, regression tests, and maintainable documentation.\n\nPartner with Relay, Hermes, model, infrastructure, and research teams to turn recurring optimization needs into reusable runtime, trace, and evaluation capabilities.\n\nWhat we need to see:\n\nBachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Applied Math, or a related field, or equivalent experience.\n\n8+ years of hands-on software-engineering experience, with demonstrated technical ownership of production systems; and architecture design leadership.\n\nExpert Python skills and working proficiency in Rust, Go, C++, or TypeScript, with the ability to debug systems across language and process boundaries.\n\nExperience building or extending LLM agents, coding agents, tool-use loops, model-provider integrations, developer tools, or evaluation infrastructure.\n\nSolid understanding of asynchronous execution, subprocesses, containers, sandboxing, callbacks, retries, networking, and distributed compute.\n\nExperience crafting reproducible experiments, benchmark methodology, performance investigations, regression gates, or reliability analysis under nondeterministic conditions.\n\nA record of shipping and maintaining open-source or developer-facing software with sound testing, API development, documentation, and code reviews.\n\nWays to stand out from the crowd\n\nMeaningful contributions to open-source coding agents, harnesses, agent runtimes, evaluation frameworks, developer tools, or observability projects.\n\nPublished research, technical writing, patents, or substantive open-source work in autonomous software engineering, agent evaluation, reliability, tool use, or inference efficiency.\n\nExperience with SWE-bench, Terminal-Bench, AgentBench, or comparable public agent benchmarks.\n\nShipped improvements to context management, tool interfaces, retries, sandboxed repository execution, long-running agent loops, or evaluation environments.\n\nExperience with trace-analysis and observability systems such as OpenTelemetry, OpenInference, structured event pipelines, exporters, or debugging tools.\n\nWidely considered to be one of the technology world’s most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. As you plan your future, see what we can offer to you and your family www.nvidiabenefits.com/\n\nYour base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5.\n\nYou will also be eligible for equity and benefits.\n\nApplications for this job will be accepted at least until September 5, 2026.\n\nThis posting is for an existing vacancy.\n\nNVIDIA uses AI tools in its recruiting processes.\n\nNVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As 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.","company":"NVIDIA","rawCompany":"nvidia","city":"Washington","state":"DC","isRemote":false,"isActive":false,"createdAt":"2026-09-03T09:11:41.602Z","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":"15-1251.00","title":"Computer Programmers","slug":"computer-programmers"}],"industries":[{"code":"513210","title":"Software Publishers","slug":"software-publishers"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Senior Software Engineer, Open Harness Engineering","description":"NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world.\n\nAre you excited about open-source software, developer tools, and the future of agentic applications? We are looking for a Senior Software Engineer to help build the core libraries, evaluation systems, and reusable harness capabilities that make AI agents safer, faster, and easier for developers to trust. In this role, you will work hands-on across open-source agent harnesses, sandboxed execution, model-provider infrastructure, and agent benchmarks to help improve the next generation of agents. You will turn agent-evaluation evidence into real improvements: diagnosing failures, contributing upstream, and proving quality, reliability, cost, and latency gains across models. Join our creative engineering team building foundational technology for the future wave of autonomous software systems!\n\nWhat you'll be doing:\n\nDefine and evolve the technical approach for evaluating and improving open agent harnesses across frameworks, models, and benchmark environments.\n\nBuild and operate scalable, reproducible evaluation systems spanning CI, scheduled compute, sandboxed execution, artifact provenance, trace capture, and analysis.\n\nDiagnose agent failures from traces, logs, tool results, and benchmark artifacts, separating harness, evaluator, environment, inference, and model causes.\n\nDesign controlled experiments and promotion criteria that distinguish genuine harness improvements from noise, benchmark artifacts, or model-specific gains.\n\nShip focused harness and runtime improvements, including upstream open-source contributions, detectors, regression tests, and maintainable documentation.\n\nPartner with Relay, Hermes, model, infrastructure, and research teams to turn recurring optimization needs into reusable runtime, trace, and evaluation capabilities.\n\nWhat we need to see:\n\nBachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Applied Math, or a related field, or equivalent experience.\n\n8+ years of hands-on software-engineering experience, with demonstrated technical ownership of production systems; and architecture design leadership.\n\nExpert Python skills and working proficiency in Rust, Go, C++, or TypeScript, with the ability to debug systems across language and process boundaries.\n\nExperience building or extending LLM agents, coding agents, tool-use loops, model-provider integrations, developer tools, or evaluation infrastructure.\n\nSolid understanding of asynchronous execution, subprocesses, containers, sandboxing, callbacks, retries, networking, and distributed compute.\n\nExperience crafting reproducible experiments, benchmark methodology, performance investigations, regression gates, or reliability analysis under nondeterministic conditions.\n\nA record of shipping and maintaining open-source or developer-facing software with sound testing, API development, documentation, and code reviews.\n\nWays to stand out from the crowd\n\nMeaningful contributions to open-source coding agents, harnesses, agent runtimes, evaluation frameworks, developer tools, or observability projects.\n\nPublished research, technical writing, patents, or substantive open-source work in autonomous software engineering, agent evaluation, reliability, tool use, or inference efficiency.\n\nExperience with SWE-bench, Terminal-Bench, AgentBench, or comparable public agent benchmarks.\n\nShipped improvements to context management, tool interfaces, retries, sandboxed repository execution, long-running agent loops, or evaluation environments.\n\nExperience with trace-analysis and observability systems such as OpenTelemetry, OpenInference, structured event pipelines, exporters, or debugging tools.\n\nWidely considered to be one of the technology world’s most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. As you plan your future, see what we can offer to you and your family www.nvidiabenefits.com/\n\nYour base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5.\n\nYou will also be eligible for equity and benefits.\n\nApplications for this job will be accepted at least until September 5, 2026.\n\nThis posting is for an existing vacancy.\n\nNVIDIA uses AI tools in its recruiting processes.\n\nNVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As 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.","datePosted":"2026-09-03T09:11:41.602Z","dateModified":"2026-09-03T09:11:41.602Z","hiringOrganization":{"@type":"Organization","name":"NVIDIA","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Washington","addressRegion":"DC","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"9ba41561f63ae91d32fac40e"},"url":"https://jobsearcher.com/jobs/9ba41561f63ae91d32fac40e"}}