Jobs / United States / Nvidia Corporation
Senior Software Engineer - SOC Platforms
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 been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world. Are you ready to join a dedicated team at the forefront of GPU & SOC technology? NVIDIA is looking for a Senior GPU Platforms Engineer to be part of our innovative and ambitious group. This is an outstanding opportunity to work on groundbreaking GPU & SOC systems and platform software, driving the next era of accelerated computing! What you'll be doing: • System Software Generalist: You will take ownership for platform software including kernel device driver development, firmware / BIOS interactions, health monitoring, system-level features on new GPU / SOC platforms and products. Looking for proactive, knowledgeable engineers open to switch between various critical products / projects / modules and deliver results. • Observability stack expert: Design and develop high-performance, distributed observability platforms handling high-volume data (metrics, logs, traces etc), real time monitoring, logging and alerting across diverse products having diverse environments and develop backend pipeline, analytics platform with a focus on performance at scale. • Full stack software engineer: Develop productions applications, solutions and features for NVIDIA SOC products. • Partnering with software, driver, and product / data center/Cloud units, you will launch new GPU platforms, resolve sophisticated system challenges, and improve performance, features and stability across configurations. • Engage actively in code reviews and contribute to substantial production codebases using solid C/C++ and data pipeline, business intelligence skills. • Understand how AI workloads map onto NVIDIA architectures (streaming multiprocessors, Tensor Cores, memory hierarchy, NVLink , PCIe, MIG, etc.), and how these architectural features impact latency, throughput, and cost. • Develop and sustain an in-depth knowledge of OS and system software, concentrating on Linux internals, device drivers, kernel/user boundaries, concurrency, and performance profiling. • Apply your expertise in Operating Systems, Computer architecture to manage CPU–GPU interactions, PCIe, memory hierarchy, interrupts, and firmware/bootloaders. What we need to see: • BS/MS/PhD (or equivalent experience) in Computer Science or a related degree, along with multiple years of experience in systems, platform, embedded, or GPU software roles. • At least 10 years of experience in developing SOC systems and platform software. • System Software Generalist: Strong hands-on experience developing system software, covering Linux internals, device drivers, kernel/user boundaries, concurrency, and performance profiling. • Observability Expertise: Hands-on experience with building modern observability architectures, (including metrics, logs, and traces), distributed systems design and modern business intelligence and analytics stack. • Strong Full-Stack Fluency: Proficiency in high-performance, secure, production software stack, backend systems programming. • A solid understanding of Advance Operating Systems, Advance Database, Computer Architecture and Distributed systems. • AI / ML Fluency: Experience de