Jobs / United States / Nvidia Corporation
HSIO Validation Lead – Silicon Co-Design
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.
- 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
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 accelerated computing platforms move data at speeds that push the limits of what silicon and physics allow. Whether a high-speed interface trains reliably, maintains accurate margins, and survives every platform topology it will ever see is a question we answer ourselves. This role does that work. The Silicon Co-Design Group leads the boundary between what was designed and what was built. When a GPU, CPU, or SoC ships with interfaces that work at scale, this team is the reason. Most engineers debug within a layer. You will own the full stack. When an interface fails to train, the link margin is unexpectedly tight, or a customer reports a critical silicon issue, you trace the problem through protocol behavior, signal integrity, firmware, platform topology, and silicon marginalities. You then confirm that the fix works. Your methodology shapes how NVIDIA validates high-speed interfaces across generations. Your decisions affect yield, production ramp, and field quality. This is not a coordination role. The engineers who do it well hold protocol depth and system breadth simultaneously, never lose the thread across hardware, firmware, and software, and have the judgment to know when to go deeper and when to act. They are rare. Should that describe you, read on. What you'll be doing: • Own post-silicon bring-up, characterization, validation, and debug of PCIe, NVLink, C2C, and other HSIO interfaces across NVIDIA GPUs, CPUs, and SoCs from first power-on through production readiness. • Close the hardest failures. Drive root cause across protocol behavior, signal integrity, firmware and driver interactions, platform topology, and silicon marginalities and own every fix through to confirmation. • Define validation strategy. Set test coverage, debug priorities, margining methodology, and stress criteria for each program. Your strategy is what stands between a silicon risk and a customer escape. • Own and build AI agents that operate under your direction. These include automated debug triage, intelligent data pipelines, and analysis flows. They reduce cycle time and identify issues before production. Know where AI accelerates real work and where it introduces risk. • Ensure robust interoperability across the full ecosystem: retimers, switches, accelerators, CPUs, GPUs, and sophisticated multi-device system topologies. • Sit at the decision table. Your analysis drives alignment across architecture, logic design, circuit design, firmware, drivers, ATE, DGX, and product teams. Your data is what settles calls. • Translate what you learn on real silicon into methodology and coverage improvements that make future products harder to escape. What we need to see: • BS or MS in Electrical Engineering, Computer Engineering, or Systems Engineering, or equivalent experience in the lab. • 8+ years in silicon validation, HSIO bring-up, or high-speed interface debug on real hardware. • Deep protocol expertise in PCIe, NVLink, CXL, C2C, Ethernet, USB, or similar high-speed interface technologies. • Strong signal integrity fundamentals: SERDES behavior, link training, equalization, clocking, reset, power management, and high-speed board and system interactions. • Hands-on lab depth: oscilloscopes, BERTs, protocol analyzers, logic analyzers, exercisers, and silicon debug tools. • The ability to debug across the full stack, hardware, firmware, drivers, and platform design, without losing the thread. • Enough statistical proficiency to recognize the moments a marginal distribution is telling you something and enough develop intuition to know where to look next! Ways to stand out: • Recognized depth in PCIe, NVLink, CXL, or advanced SERDES validation, with failures that other teams brought to you. • You've built or deployed AI-driven f