Jobs / United States / Nvidia Corporation
VLSI Design Automation Software Engineer
Nvidia Corporation · 🇺🇸 2 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. 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 is looking for a Software Engineer to build the next-gen infrastructure software behind our VLSI organization. You'll join a CAD team that develops the systems running NVIDIA's chip design flows at large scale on our compute farm, and infra. We support design teams in multiple geographies, all the way to tape-out. In this role, you'll design and write production software that makes this infrastructure more efficient and reliable. You'll also use AI agents to automate the work that slows engineers down. We want an engineer who takes ownership, makes decisions based on data and communicates clearly. What you'll be doing: • Architect and build the software platform behind our compute infrastructure, giving design teams worldwide reliable, efficient, self-service access at scale. • Build data pipelines, analytics and applications that show how our infrastructure is used and how it's performing. Use that data to drive capacity planning, efficiency and decisions across the organization. • Develop AI agents that diagnose failed jobs, analyze logs and handle routine engineering requests. • Work closely with physical design engineers in multiple geographies (about 50% of the role). debug job, storage and license issues, then turn recurring problems into software: automated checks, self-service tools and permanent fixes. • Own your software from start to finish: architecture, data storage, UI, testing, CI/CD, deployment and maintenance, with code review and reproducible builds as standard practice. • Work across time zones with teammates and with Design Automation (DA) teams at NVIDIA sites worldwide to roll out new infrastructure software, and help mentor newer team members. What we need to see: • A B.Sc. or M.Sc. in Computer Science, Computer Engineering, Electrical Engineering or a related field, or equivalent experience. • Hands-on experience with AI agents, such as building agentic workflows, using LLM APIs, tool calling or MCP, or getting real productivity gains from AI coding assistants. • 2–6 years of experience building and running production software, ideally infrastructure, backend services or developer tools. • Strong Python skills and solid software engineering fundamentals: design, testing, code review and debugging. • Strong Linux skills, including shell scripting and debugging problems across many users and hosts. • You're self-motivated and proactive, see problems through to resolution, and communicate clearly with engineers across sites and time zones, especially under deadline pressure. Ways to stand out from the crowd: • HPC and DevOps experience, such as job schedulers like IBM LSF or Slurm (including their APIs), NFS or parallel file systems, performance tuning at scale, CI/CD pipelines (GitLab CI, Jenkins), containers (Docker, Kubernetes), Ansible, and monitoring with Prometheus and Grafana. • Experience with build and source control systems, such as Bazel (writing build rules, managing dependencies, and speeding up large builds with remote caching and remote execution), Perforce (depots, streams, workspaces, triggers, and P4Python), and Git. • A strong grasp of data structures and algorithms, especially graph theory, plus experience with SQL, data modeling, and turning data into dashboards and decisions. • Experience with C++, Tcl or Perl, and exposure to EDA tools or chip design flows (synthesis, place and route, timing analysis). At NVIDIA, we are committed to fostering a diverse and inclusive work environment. We believe that diverse perspectives drive innovation and enable us to compete in the global market. We strictly adhere to equal opportunity employment principles and offer reasonable accommodations/adjustments to qualified individuals with disabilities. Join our team and be a part