Jobs / United States / Nvidia Corporation
System Software Engineer - GPU Power and Performance Management
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 is redefining accelerated computing and powering the next era of artificial intelligence. Our data-center platforms bring together GPUs, CPUs, networking, systems, and software to solve some of the world’s most exciting computing problems. We are looking for a System Software Engineer to join NVIDIA’s GPU Performance and Power Management Software team. You will help design, develop, and debug production software for performance states (P-states) and Power Management Controllers. Your work will also support dynamic voltage and frequency scaling (DVFS) and power-management technologies for next-generation data-center GPUs. You will work at the intersection of hardware architecture, embedded firmware, device drivers, operating systems, and AI workloads. In this role, you will contribute across the product lifecycle, including design, pre-silicon development, validation, silicon bring-up, and production support. This is a great opportunity to build expertise in GPU power and performance software while contributing to products that deliver leading performance, energy efficiency, and reliability. What You’ll Be Doing: • Design, build, implement, and debug GPU power- and performance-management software, with emphasis on P-state management and DVFS. • Develop control policies and software mechanisms that optimize GPU performance, power, thermals, and energy efficiency under demanding data-center workloads. • Support features through full product lifecycle: requirements, architecture, implementation, pre-silicon validation, silicon bring-up, productization, and production support. • Collaborate with GPU architects and hardware designers to define and implement hardware-software interfaces for next-generation processors. • Analyze interactions among workloads, clocks, voltages, power limits, thermals, telemetry, and system-level policies. • Investigate, triage, and resolve power, performance, stability, and reliability issues spanning firmware, drivers, hardware, and platform software. • Help execute validation strategies and automation for functional correctness, transition latency, performance-per-watt, and robustness across operating conditions. • Write clear technical documentation, interface definitions, for features. • Partner with distributed teams across architecture, ASIC, firmware, driver, validation, platform, and data-center systems. What We Need to See: • BS or MS degree in Computer Science, Computer Engineering, Electrical Engineering, or a related field, or equivalent experience. • 2+ years of relevant industry experience, or strong coursework, internship, co-op, or project experience in system software. • Strong programming skills in C, with the ability to develop, debug, and maintain low-level kernel software. • Good understanding of operating-system fundamentals, computer architecture, device-driver architecture, embedded or real-time software, concurrency, interrupt handling, and hardware programming • Ability to independently debug and analyze across multiple layers of software and hardware. • Ability to read and understand hardware specifications and software interface definitions. • Strong problem-solving skills and willingness to learn from and work effectively with cross-functional teams. • Excellent written and verbal communication skills. Ways to Stand Out From the Crowd: • Hands-on, Internship or project experience with GPU, CPU, accelerator, or SoC power and performance management. • Coursework or project work in computer architecture, operating systems, control systems, or power/performance optimization. • Exposure to P-states, DVFS, clock control, voltage control, thermal management, or workload-aware system behavior. • Familiarity with validation, scripting or automation, a