{"schemaVersion":"jobsearcher.job.v1","id":"703a76387738e304782091df","url":"https://jobsearcher.com/jobs/703a76387738e304782091df","canonicalUrl":"https://jobsearcher.com/jobs/703a76387738e304782091df","title":"EDA Workflow Optimization Engineer","description":"Overview\nAs part of NVIDIA’s EDA Workflow Optimization team, you will partner with global engineering groups to optimize the full chip design workflow from inception to production. You’ll drive improvements to flows, enable engineers with scalable tools, and build metrics to monitor performance. The role focuses on delivering high-quality, production-grade infrastructure that accelerates time-to-market for next-generation chips. This is a hands-on, fast-paced environment where collaboration and data-driven decisions shape critical engineering productivity.\n\nCompensation / Benefitsequitybenefitshybrid work (LI-Hybrid)\nResponsibilitiesCollaborate in a diverse team to investigate and accelerate chip design workflowsLead end-to-end tool development, testing, and deployment lifecyclesWork with chip engineers to optimize compute and storage usage in workflowsCreate reliable, user-friendly metrics for hundreds of engineersContinuously improve chip development processes and tooling qualityContribute to overall time-to-market and quality for new chips\nKey requirementsUNIX engineering experience for debugging complex, multi-discipline problemsArchitectural decisions in storage, networking, or computeExperience with ASIC, VLSI, CAD/EDA, or mixed-signal design workflowsHands-on experience with EDA toolsUNIX systems programming and automation using Python and/or ShellProficiency with UNIX utilities and planning/communication skillsData analysis experience and ability to influence data-driven decisionsFlexible in a dynamic environment with changing requirementsBS in Computer Science or equivalent; MS preferred5+ years of relevant experienceExcellent planning and communicationData-driven decision makingAdaptability in a dynamic environmentUNIX and UNIX utilitiesPython and/or Shell scriptingEDA tools and CAD/EDA environments","company":"NVIDIA","rawCompany":"nvidia","city":"Somerville","state":"MA","isRemote":false,"isActive":false,"createdAt":"2026-09-15T05:11:03.994Z","occupations":[{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"},{"code":"17-2061.00","title":"Computer Hardware Engineers","slug":"computer-hardware-engineers"},{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"}],"industries":[{"code":"334111","title":"Electronic Computer Manufacturing","slug":"electronic-computer-manufacturing"},{"code":"334413","title":"Semiconductor and Related Device Manufacturing","slug":"semiconductor-and-related-device-manufacturing"},{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"EDA Workflow Optimization Engineer","description":"Overview\nAs part of NVIDIA’s EDA Workflow Optimization team, you will partner with global engineering groups to optimize the full chip design workflow from inception to production. You’ll drive improvements to flows, enable engineers with scalable tools, and build metrics to monitor performance. The role focuses on delivering high-quality, production-grade infrastructure that accelerates time-to-market for next-generation chips. This is a hands-on, fast-paced environment where collaboration and data-driven decisions shape critical engineering productivity.\n\nCompensation / Benefitsequitybenefitshybrid work (LI-Hybrid)\nResponsibilitiesCollaborate in a diverse team to investigate and accelerate chip design workflowsLead end-to-end tool development, testing, and deployment lifecyclesWork with chip engineers to optimize compute and storage usage in workflowsCreate reliable, user-friendly metrics for hundreds of engineersContinuously improve chip development processes and tooling qualityContribute to overall time-to-market and quality for new chips\nKey requirementsUNIX engineering experience for debugging complex, multi-discipline problemsArchitectural decisions in storage, networking, or computeExperience with ASIC, VLSI, CAD/EDA, or mixed-signal design workflowsHands-on experience with EDA toolsUNIX systems programming and automation using Python and/or ShellProficiency with UNIX utilities and planning/communication skillsData analysis experience and ability to influence data-driven decisionsFlexible in a dynamic environment with changing requirementsBS in Computer Science or equivalent; MS preferred5+ years of relevant experienceExcellent planning and communicationData-driven decision makingAdaptability in a dynamic environmentUNIX and UNIX utilitiesPython and/or Shell scriptingEDA tools and CAD/EDA environments","datePosted":"2026-09-15T05:11:03.994Z","dateModified":"2026-09-15T05:11:03.994Z","hiringOrganization":{"@type":"Organization","name":"NVIDIA","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Somerville","addressRegion":"MA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"703a76387738e304782091df"},"url":"https://jobsearcher.com/jobs/703a76387738e304782091df"}}