Jobs / United States / Nvidia Corporation
Senior Silicon Product Definition 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).
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 transformed computer graphics, PC gaming, and accelerated computing for more than 25 years. Today, we're defining the next era of computing, where GPUs power the computers, robots, and autonomous vehicles that understand the world. NVIDIA's Silicon Co-Design Group (SCG) gets every GPU, SoC, and CPU program from first power-on to high-volume production. We sit at the crossroads of architecture, design, marketing, operations, and productization, serving Datacenter, Server, Gaming, Robotics, Automotive, and Embedded markets. We are hiring a Senior Silicon Product Definition Engineer to turn complex silicon and system data into decisions that maximize performance, power efficiency, yield, and quality. You will define product configurations, identify limiting constraints, and drive optimization from early bring-up through production. This is not a pure data-analysis or validation-only role—you will connect silicon behavior, platform requirements, market needs, and manufacturing realities to determine how products are productized. The exceptional hire uses AI deliberately to compress analysis and debug cycles. What you'll be doing: • Own product-definition analysis across performance, power, yield, and quality, using large silicon datasets to identify product opportunities, risks, and trade-offs. • Drive product-specific configurations by isolating frequency- power and thermal -limiting constraints and translating findings into silicon, firmware, BIOS, driver, and platform changes. • Build statistical models, automation, and visualization workflows that improve decision quality. • Partner with Tools and Methodology teams to left-shift data modeling, test procedures, and closed-loop analysis infrastructure from post-silicon learning into future programs. • Lead multi-functional root-cause closure with architecture, design, validation, software/firmware, applications engineering, manufacturing, and operations teams from bring-up through production. • Evaluate performance-per-watt, process-voltage-temperature behavior, yield, and quality trade-offs, and drive productized fixes through implementation and confirmation . • Translate complex silicon and system signals into crisp, decision-ready options that give executive leadership clarity on product configuration, performance targets, and program-impacting risks. • Own and deliver BIOS-level VF settings across thermal, power, and frequency domains — debugging issues and driving fixes through cross functional teams to close on Power, Thermal, Performance, Yield and Quality gaps. What we need to see: • BS or MS in Electrical Engineering, Computer Engineering, Systems Engineering, or related field (or equivalent experience). • 8+ years of experience in silicon product definition, post-silicon characterization, product engineering, or performance and power analysis for GPU, CPU, SoC, or other complex silicon products. • Hands-on experience with silicon bring-up, performance-per-watt analysis, optimization across process, voltage, and temperature conditions. • Strong programming and data-analysis skills using Python and one or more of Perl, JMP, SQL, or equivalent tools, with practical knowledge of statistics and large-dataset manipulation. • Strong technical foundation in digital design, circuit analysis, computer architecture, critical-path analysis, process technology, and transistor/device physics. • Working knowledge of the system stack, including firmware, BIOS, drivers, operating-system behavior, and software applications that influence silicon performance and power. • Demonstrated ability to drive ambiguous technical issues to root-cause closure across globally distributed, multi-functional teams. • Strong written and verbal communication; able to transla