Jobs / United States / Nvidia Corporation
EDA Workflow Optimization Engineer
Nvidia Corporation · 🇺🇸 4 Locations
Sponsorship verdict
Sponsorship possible
One solid signal, not two — worth applying, and worth asking about sponsorship early.
- Employer is on a government sponsor recordThe US Department of Labor certified 2,374 H-1B/E-3 labor condition applications for this employer between Oct 2025 and Jun 2026 (latest Jun 2026) — the step every H-1B hire needs first. USCIS also records 394 H-1B approvals in FY2023. Source: LCA disclosure data (US Department of Labor (OFLC)).
- The posting doesn’t mention sponsorshipSilence isn’t a refusal — ask the recruiter before investing much time.
- No salary bar for this routeH-1B has no fixed salary bar: the employer must pay at least the prevailing wage for the role and area. Cap-subject employers enter a lottery weighted by wage level. Source: https://www.federalregister.gov/documents/2025/12/29/2025-23853/weighted-selection-process-for-registrants-and-petitioners-seeking-to-file-cap-subject-h-1b, rules effective 2026-02-27.
- What Nvidia Corporation paid sponsored hires in similar roles701 certified filings for “Engineer Senior Systems Software” (Software Developers) in CA: $173k–$214k, median $190k. Most were filed at wage level IV (82%) — 4 lottery entries, ≈61% projected selection odds for cap-subject employers. The pay stated here (152,000 USD) is below what this employer usually pays sponsored hires for this role. Source: US Department of Labor LCA disclosure data (Oct 2025 – Jun 2026).
- Confirmed live todayWhen a source last listed this job as open.
US H-1B: cap-subject employers enter a lottery weighted by wage level — Level I gets 1 entry, Level IV gets 4 (DHS projected selection odds ≈15% at Level I to ≈61% at Level IV). Universities and non-profit research employers are cap-exempt. The $100,000 fee for new petitions from abroad is currently blocked by a court order (appeal pending).
A verdict summarises public evidence; it is not legal advice and never a guarantee — the employer and the immigration authority decide. Sign in to factor in where you can already work.
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Sponsor Radar — Nvidia Corporation
The US Department of Labor certified 2,374 H-1B/E-3 labor condition applications for this employer between Oct 2025 and Jun 2026 (latest Jun 2026) — the step every H-1B hire needs first. USCIS also records 394 H-1B approvals in FY2023. Source: LCA disclosure data (US Department of Labor (OFLC)).
Past sponsorship or register membership never guarantees sponsorship for this vacancy or for you. Full Sponsor Radar for Nvidia Corporation →
About the role
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. NVIDIA reinvented itself over two decades, inventing the GPU in 1999 to reshape PC gaming and modern computer graphics. As an engineer in our EDA Workflow Optimization team, you will partner closely with our engineering teams worldwide. You will understand workflows covering the full chip design process from inception through study, architecture, design, verification, emulation, layout, packaging, power-on and production. You will then guide teams to improve, and sometimes re-invent those flows. You will enable our engineers to have the best tools on the planet to make the most innovative chips in the world. You will perform investigations to understand flaws and opportunities, construct metrics to continuously measure performance of our flows and services, and other infrastructure. You will work with your team of EDA and software experts to build new infrastructure in an agile, production software environment. You will continuously innovate and enhance scalable, reliable, high performance systems and tools to enable the next generation of chips! What you’ll be doing: • Work in a diverse team performing fast paced investigations to empower our engineers to develop at the speed of light. • Participate in the full life-cycle of tool development, test, and deployment. • Work closely with other team members and chip engineers to understand and optimize how workflows use the compute and storage environments. • Build metrics that are reliable and easy to use by hundreds of engineers around the world. • Continuously improve our chip development process. • Directly contribute to the overall quality and time to market for our next generation chips. What we need to see: • Strong experience investigating and debugging complex, multi-discipline problems in a UNIX engineering environment. • Hands-on experience with architectural decisions in technologies (storage, networking, compute) our chip engineers depend on. • Experience with ASIC, VLSI, CAD/EDA or mixed signal design workflow environments. • Hands-on experience with EDA tools. • Experienced in UNIX Systems programming and automation using Python and/or Shell. • Authoritative level usage of UNIX and UNIX utilities. • Excellent planning and communication skills. • Experience in applying data analysis principles and influencing data-driven decisions. • Flexibility/adaptability working in a dynamic environment with changing requirements. • BS in Computer Science or equivalent experience; MS (preferred). • 5+yrs of relevant experience. Ways to stand out from the crowd: • Experience with job schedulers (in particular IBM Spectrum LSF and/or SLURM). • Hands-on experience running GPU-based workloads in a batch computing environment and a deep understanding of distributed system principles. • Strong programming and debugging skills with C/C++, Python, and Perl on UNIX. • A passion for improving engineering productivity and efficiency via data-driven philosophy. #LI-Hybrid Your base salary will be determined based on your location, experience, and the pay of employees in similar position