Jobs / United States / Nvidia Corporation
Senior System Software Engineer, Robotics
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
We are now looking for a Senior System Software Engineer to join our Robotics Team, with a strong focus on humanoid robots and embodied intelligence. For two decades, NVIDIA has pioneered visual computing through the invention of the GPU, the engine of modern accelerated computing. Today, this foundation powers breakthroughs across gaming, film, scientific research, autonomous machines, and robotics. Our team is building a robotics platform for the next generation of intelligent robots, including humanoid systems. NVIDIA’s Isaac Robotics Platform brings together high-fidelity physical and visual simulation, scalable system software, optimized robotics and AI algorithms, and powerful edge computing platforms to serve as the brain of intelligent machines. You will work with experts across robotics, systems, AI, and simulation to enable real-world deployment of embodied AI on humanoid robots, and help shape how foundation models and learning-based policies are integrated into production robotic systems. What you’ll be doing: • Develop system software, runtime components, tools, and workflows that enable reliable, performant deployment of embodied AI models on real robots. • Optimize model execution and system performance across compute, memory, networking, sensors, and actuators. • Build validation, testing, benchmarking, and observability infrastructure spanning simulation, hardware-in-the-loop environments, and physical robots. • Measure and improve critical system-level metrics, including end-to-end latency, determinism, throughput, reliability, resource utilization, and startup performance. • Debug complex issues across application software, middleware, operating systems, device drivers, firmware, and hardware. • Work with AI, simulation, hardware, platform, and partner teams to bring up, validate, and harden robotic systems for real-world deployment. • Own technical issues through investigation, root-cause analysis, resolution, and field validation. • Contribute to architectural decisions, review code, and uphold high standards for system software quality, maintainability, and operational readiness. What we need to see: • BS, MS, or PhD in Computer Science, Electrical Engineering, Computer Engineering, Robotics, or a related field (or equivalent experience). • 5+ years of experience developing robotics, embedded, platform, distributed, or system software. • Strong understanding of robotics system architecture, platform software, and hardware-software integration. • Hands-on experience bringing up, debugging, and deploying complex robotic systems on both physical hardware and simulation. • Strong knowledge of Linux, embedded software, distributed computing, and real-time systems. • Proven ability to provide technical leadership and deliver complex projects across multiple functions. • Strong communication skills and the ability to collaborate with teams across global organizations. Ways to stand out from your crowd: • Experience building and shipping humanoid robotic systems or reference platforms. • Background with deploying foundation models, embodied AI models, or reinforcement learning policies on physical robots. • Experience evaluating learning-based robotic policies in simulation, including task success, robustness to disturbances, and generalization across tasks and environments. • Experience building hardware-in-the-loop (HIL) testing and automated benchmarking pipelines to measure closed-loop policy performance, validate real-time execution, and detect regressions across simulation and physical hardware. • Strong background in perception, sensor integration, performance optimization, and system validation. NVIDIA is widely considered to be one of the technology world’s most desirable employers. W