Jobs / United States / Nvidia Corporation

Senior Silicon Circuit Co-Design Engineer

Nvidia Corporation · 🇺🇸 US, CA, Santa Clara

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).

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Sponsor Radar — Nvidia Corporation

2,374 H-1B filings certified since Oct 2025

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's chips define the ceiling of what silicon can do. But raw performance is only part of the story. The circuits that make a product trustworthy — the ones that enforce security boundaries, catch failures before they propagate, extend silicon lifetime under the hardest workloads, and unlock the last margin of performance safely — these are the circuits that determine whether a product ships or stalls, earns trust or loses it. This role co-designs them. The Silicon Co-Design Group owns the boundary between design intent and silicon reality. When a product ships at frequency, at quality, and with the reliability the world's AI infrastructure demands, this team is a reason why. You will be the engineer who knows what these circuits are actually doing. Safety, security, reliability, and performance enhancement features are not decorative. They sit on the critical path of every product decision — binning, guard-banding, sign-off, field quality. When one of them doesn't behave the way the model predicted, the consequences reach further than a single block. You find out why. You close the gap between design intent and silicon reality, and your data is what architecture, circuit design, and product teams act on. The engineers who do this well don't just measure circuits — they understand them deeply enough to know what a deviation means before anyone else does. They think like circuit designers, work like experimentalists, and reason like data scientists. If that describes you, read on. What you'll be doing: • Own the co-design, bring-up, and post-silicon validation of the analog, digital, and mixed-signal circuits that underpin NVIDIA's safety, security, reliability, and performance enhancement features — across the full PVT space, from first power-on through production sign-off. • Close the simulation-to-silicon gap. Build methodologies that correlate measured circuit behavior against pre-silicon predictions, quantify where the model diverges from reality, and produce analysis that design and architecture teams can act on with confidence. • Trace failures to their source — a circuit marginality, a power integrity interaction, a process corner the model didn't anticipate, or a system-level coupling — and drive the resolution all the way through to confirmation. • Own and build AI agents that work at your direction: automated test orchestration, intelligent data pipelines, and analysis flows that expand coverage and compress cycle time without sacrificing rigor. Know where AI accelerates real work and where it introduces risk. • Build the tools your work depends on. Design and own automation and analysis infrastructure that lets you execute efficiently across multiple products simultaneously without sacrificing depth or coverage. • Sit at the decision table. Your data drives binning strategy, guard-band decisions, reliability sign-off, and design improvements for future programs. When the data is ambiguous, your analysis is what resolves it. • Lead and mentor junior engineers and interns. Raise the technical floor of the team around you. What we need to see: • BS or MS in Electrical Engineering, Computer Engineering, or equivalent experience in the lab. • 8+ years of hands-on silicon bring-up, frequency and power characterization, or post-silicon validation on real hardware. • Strong circuit fundamentals — analog, digital, and mixed-signal — with the intuition to know what you're measuring and why it matters. • Hands-on lab depth: oscilloscopes, multimeters, DAQs, spectrum analyzers, and silicon debug tools. Comfort with tester-to-system correlation. • Depth in product binning, PVT analysis, guard-banding, and optimization trade-offs. Enough statistical fluency to know when a distribution is telling you something. • E

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Source: Employer career site (Workday) First seen: 2026-10-01 Last confirmed: 2026-10-02 How our data works → Report this job

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