{"schemaVersion":"jobsearcher.job.v1","id":"4fe3575d9ec9b6bcadcb22b5","url":"https://jobsearcher.com/jobs/4fe3575d9ec9b6bcadcb22b5","canonicalUrl":"https://jobsearcher.com/jobs/4fe3575d9ec9b6bcadcb22b5","title":"Senior Software Engineer, Test Infrastructure Development","description":"We are looking to hire a Senior Software Engineer to join the Test Solutions Group at NVIDIA, developing infrastructure software and manufacturing test solutions for Datacenter and Enterprise products. In this role, you will collaborate closely with hardware design, test engineering, product engineering, and software teams to enable NVIDIA’s next-generation GPU and CPU-based server products. This role is ideal for someone who is passionate about building scalable internal tools, modern web-based platforms, and AI-enhanced workflows that improve engineering productivity, diagnostic development, test automation, and manufacturing operations.\nNVIDIA has continuously reinvented itself over two decades. Our invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing. NVIDIA is a learning machine that constantly evolves by adapting to new opportunities that are hard to solve, that only we can pursue, and that matter to the world. This is our life’s work: to amplify human creativity and intelligence. Make the choice to join our growing team today.\nWhat you’ll be doing:\nDevelop industry-standard IDEs and platforms to automate and intelligentize diagnostic creation, verification, validation, and release for NVIDIA system-level products, including GeForce, Quadro, HGX, and DGX.\nBuild universal test frameworks to standardize diagnostic structures, workflows, metadata, and release processes across NVIDIA products.\nDevelop and maintain diagnostic management systems to handle, optimize, and automate the release process for NVIDIA board and system products.\nDesign and implement AI-assisted tools and workflows to improve engineering productivity, including AI-powered search, code generation, documentation assistance, log analysis, test result summarization, workflow automation, and intelligent troubleshooting.\nApply modern AI technologies, including LLMs, RAG, agents, function calling, semantic search, and workflow orchestration, to upgrade TSG’s infrastructure platforms and internal engineering tools.\nWork closely with Test Development Engineering, Product Development Engineering, Software Engineering, and Operations teams to solve sophisticated infrastructure, security, automation, and development challenges.\nExplore and evaluate new AI tools, frameworks, and development practices, and apply them pragmatically to improve software delivery, test infrastructure, and manufacturing support workflows.\nWhat we need to see:\nBS in Computer Science, Computer Engineering, Electrical Engineering, or a related field, or equivalent experience, with 5+ years of related software development experience.\nStrong understanding of full-stack application development, including frontend, backend, database, deployment, and system integration.\nExcellent Python programming skills and bash scripting experience.\nSolid experience with database design, including crafting schemas from scratch, writing efficient queries, understanding execution plans, and applying indexes effectively.\nFamiliarity with JavaScript, React, CSS, and HTML. Experience with yarn or npm is required. TypeScript, Create React App, Webpack, or modern frontend build systems are strong pluses.\nBackground with authentication and security concepts, including NTLM, OAuth, JWT, role-based access control, and secure API design.\nFamiliarity with best software development practices, including documentation, testing, code review, CI/CD, containerization, and reliable production deployment.\nHands-on experience using AI tools to improve software development productivity, such as coding assistants, AI-based debugging, documentation generation, test generation, or workflow automation.\nPractical understanding of AI application development concepts, such as LLM APIs, prompt engineering, retrieval-augmented generation, vector databases, AI agents, tool/function calling, and model evaluation.\nPassion for using AI to modernize engineering workflows, automate repetitive processes, improve internal tools, and unlock new productivity for cross-functional teams.\nWays to stand out from the crowd:\nExperience working with manufacturing test, hardware diagnostics, lab automation, product validation, or large-scale engineering operations.\nBackground with building AI-powered internal tools, developer productivity platforms, chatbots, agents, or automation systems.\nExperience integrating enterprise data sources, internal APIs, documentation systems, logs, or test databases into AI-assisted workflows.\nExperience with vector search, embeddings, RAG pipelines, LangChain/LlamaIndex-style frameworks, or custom AI orchestration services.\nYour base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 132,000 USD - 207,000 USD for Level 3, and 152,000 USD - 253,000 USD for Level 4.\nYou will also be eligible for equity and benefits.\nApplications for this job will be accepted at least until July 24, 2026.\nThis 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. 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":"Santa Clara","state":"CA","isRemote":false,"isActive":false,"createdAt":"2026-08-03T22:20:08.020Z","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":"15-1253.00","title":"Software Quality Assurance Analysts and Testers","slug":"software-quality-assurance-analysts-and-testers"}],"industries":[{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"513210","title":"Software Publishers","slug":"software-publishers"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Senior Software Engineer, Test Infrastructure Development","description":"We are looking to hire a Senior Software Engineer to join the Test Solutions Group at NVIDIA, developing infrastructure software and manufacturing test solutions for Datacenter and Enterprise products. In this role, you will collaborate closely with hardware design, test engineering, product engineering, and software teams to enable NVIDIA’s next-generation GPU and CPU-based server products. This role is ideal for someone who is passionate about building scalable internal tools, modern web-based platforms, and AI-enhanced workflows that improve engineering productivity, diagnostic development, test automation, and manufacturing operations.\nNVIDIA has continuously reinvented itself over two decades. Our invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing. NVIDIA is a learning machine that constantly evolves by adapting to new opportunities that are hard to solve, that only we can pursue, and that matter to the world. This is our life’s work: to amplify human creativity and intelligence. Make the choice to join our growing team today.\nWhat you’ll be doing:\nDevelop industry-standard IDEs and platforms to automate and intelligentize diagnostic creation, verification, validation, and release for NVIDIA system-level products, including GeForce, Quadro, HGX, and DGX.\nBuild universal test frameworks to standardize diagnostic structures, workflows, metadata, and release processes across NVIDIA products.\nDevelop and maintain diagnostic management systems to handle, optimize, and automate the release process for NVIDIA board and system products.\nDesign and implement AI-assisted tools and workflows to improve engineering productivity, including AI-powered search, code generation, documentation assistance, log analysis, test result summarization, workflow automation, and intelligent troubleshooting.\nApply modern AI technologies, including LLMs, RAG, agents, function calling, semantic search, and workflow orchestration, to upgrade TSG’s infrastructure platforms and internal engineering tools.\nWork closely with Test Development Engineering, Product Development Engineering, Software Engineering, and Operations teams to solve sophisticated infrastructure, security, automation, and development challenges.\nExplore and evaluate new AI tools, frameworks, and development practices, and apply them pragmatically to improve software delivery, test infrastructure, and manufacturing support workflows.\nWhat we need to see:\nBS in Computer Science, Computer Engineering, Electrical Engineering, or a related field, or equivalent experience, with 5+ years of related software development experience.\nStrong understanding of full-stack application development, including frontend, backend, database, deployment, and system integration.\nExcellent Python programming skills and bash scripting experience.\nSolid experience with database design, including crafting schemas from scratch, writing efficient queries, understanding execution plans, and applying indexes effectively.\nFamiliarity with JavaScript, React, CSS, and HTML. Experience with yarn or npm is required. TypeScript, Create React App, Webpack, or modern frontend build systems are strong pluses.\nBackground with authentication and security concepts, including NTLM, OAuth, JWT, role-based access control, and secure API design.\nFamiliarity with best software development practices, including documentation, testing, code review, CI/CD, containerization, and reliable production deployment.\nHands-on experience using AI tools to improve software development productivity, such as coding assistants, AI-based debugging, documentation generation, test generation, or workflow automation.\nPractical understanding of AI application development concepts, such as LLM APIs, prompt engineering, retrieval-augmented generation, vector databases, AI agents, tool/function calling, and model evaluation.\nPassion for using AI to modernize engineering workflows, automate repetitive processes, improve internal tools, and unlock new productivity for cross-functional teams.\nWays to stand out from the crowd:\nExperience working with manufacturing test, hardware diagnostics, lab automation, product validation, or large-scale engineering operations.\nBackground with building AI-powered internal tools, developer productivity platforms, chatbots, agents, or automation systems.\nExperience integrating enterprise data sources, internal APIs, documentation systems, logs, or test databases into AI-assisted workflows.\nExperience with vector search, embeddings, RAG pipelines, LangChain/LlamaIndex-style frameworks, or custom AI orchestration services.\nYour base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 132,000 USD - 207,000 USD for Level 3, and 152,000 USD - 253,000 USD for Level 4.\nYou will also be eligible for equity and benefits.\nApplications for this job will be accepted at least until July 24, 2026.\nThis 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. 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":"2026-08-03T22:20:08.020Z","dateModified":"2026-08-03T22:20:08.020Z","hiringOrganization":{"@type":"Organization","name":"NVIDIA","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Santa Clara","addressRegion":"CA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"4fe3575d9ec9b6bcadcb22b5"},"url":"https://jobsearcher.com/jobs/4fe3575d9ec9b6bcadcb22b5"}}