Jobs / United States / Nvidia Corporation
Senior Silicon Product Engineer, DFP – Manufacturing
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. The pay stated here (168,000 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).
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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
The DFP Engineer – Manufacturing role defines and implements the validation and screening of new silicon features within high‑volume manufacturing flows. You will translate product requirements into executable test methodologies, infrastructure, and detailed manufacturing test plans that ensure quality, yield, and efficiency at scale. This role sits at the intersection of multiple multi-functional teams to make manufacturing test an outstanding part of the overall codesign and DFP lifecycle. What you will be doing: • Own end-to-end manufacturing test methodology across all test stages. • Translate system specs and product POR into DFP requirements, test content, coverage, and flows. • Define and maintain the DFP roadmap, including infrastructure and turning point planning. • Partner multi-functionally to implement test content, debug hooks, and coverage improvements. • Drive alignment on manufacturability, test time, binning strategies, and cost vs. coverage trade-offs. • Embed testability requirements into design to enable robust screening and debug. • Define data and analytics frameworks to support yield analysis and continuous improvement. • Lead DFP documentation as the single source of truth and feed findings into future methodologies. What we need to see: • MS in Electrical Engineering, Computer Engineering, or related field (or equivalent experience) • 6+ years in silicon post‑silicon validation and/or high‑volume manufacturing test for complex SoCs, GPUs, CPUs, or similar. • Hands‑on experience with test content bring‑up, limit setting, correlation to characterization, and yield/coverage optimization. • Proficiency with scripting and data analysis (e.g., Python, MATLAB, R, SQL) for test data analytics, limit tuning, and yield/debug analysis. • Demonstrated ability to drive multi-functional alignment around plans, dependencies, and sign-off criteria. • Excellent communication skills and comfort authoring structured technical documents and test plans used by global manufacturing and validation teams. • Strong AI‑enabled skills and thinking - Use AI to accelerate analysis, exploration, and documentation, but also maintain rigor, originality, and judgment that do not come from AI. • Prior ownership of manufacturing test strategy for a major silicon product (e.g., GPU/SoC/CPU) from early planning through ramp to QS/production. Ways to stand out from the crowd: • Integrate AI tools (LLMs, copilots, intelligent search) into daily workflows to explore architectures, test strategies, and design options. • Use AI to accelerate documentation, DFP development, and creation of scripts and data-analysis tools for optimized coverage and HVM enablement. • Apply strong engineering judgment—know when to trust AI outputs, verify against specs/data, or override them. • Build AI-assisted validation and debug workflows (e.g., log triage, anomaly detection, pattern recognition, data analysis). • Share effective methods, prompts, and tools to elevate team efficiency while maintaining technical rigor. NVIDIA is widely considered to be one of the world's most desirable employers in the technology field. We have some of the most forward-thinking and hardworking people in the world working for us. If you're creative and autonomous, we want to hear from you! #LI-Hybrid Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 168,000 USD - 264,500 USD for Level 4, and 196,000 USD - 310,500 USD for Level 5. You will also be eligible for equity and benefits . Applications for this job will be accepted at least until August 29, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes. NVIDIA is committ