Jobs / United States / Nvidia Corporation
Senior Sensor Hardware Safety 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 roles20 certified filings for “Hardware Engineer, Electronics” (Electronics Engineers, Except Computer) in MA: $147k–$172k, median $172k. Most were filed at wage level IV (74%) — 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 continuously reinvented itself for over two decades, from inventing the GPU in 1999 to transforming computer graphics, parallel computing, and modern AI. Today, GPU-accelerated computing is powering Physical Ai intelligent systems that perceive, reason, and act in the real world. At NVIDIA, we build system, hardware, and software technologies that enable these systems to operate safely. Our Hardware Safety Engineering team is seeking a highly motivated Sr Sensor Hardware Safety Engineer to define and drive hardware safety for sensor systems. You will own the end-to-end hardware safety strategy for cameras, LiDAR, radar, inertial measurement units (IMUs), and other sensors across NVIDIA’s physical AI platforms. You will collaborate across sensor architecture, board hardware, software, systems, validation, and supplier teams. Together, you will evaluate sensor safety concepts and ensure robust integration into safety-critical systems. This is an outstanding opportunity to work where advanced sensing, high-performance computing, and safety engineering converge. What you'll be doing: • Own the end-to-end sensor hardware safety strategy for cameras, LiDAR, radar, IMUs and other sensors used in NVIDIA automotive systems. • Support sensor supplier selection through technical and safety evaluations of sensor architectures, safety concepts, safety analysis, and integration assumptions. • Define and manage sensor hardware safety requirements, including requirements for sensor power, interfaces, timing, synchronization, data integrity, fault detection, and fault response. • Collaborate with sensor architects, board and system designers, software teams, and validation engineers to develop effective implementations of sensor safety requirements. • Perform and review safety cases & analyses, including FMEA, FMEDA, DFA, and FTA, and use the results to guide architecture decisions and design improvements. • Work with third-party suppliers to evaluate safety manuals, analysis reports, assumptions of use, and supporting evidence for sensor integration. • Develop clear safety documentation, integration guidance, analysis reports, and user-facing safety information for internal teams and customers. What we need to see: • Bachelor's degree in electrical engineering, computer engineering, computer science, or a related engineering field, or equivalent experience. • 8+ years of relevant experience in automotive sensors, hardware systems, functional safety, or a related field. • Understanding of automotive sensor technologies such as cameras, radar, LiDAR, or IMUs, including their hardware architectures and system interfaces. • Knowledge of safety analysis methodologies, including FMEA, FMEDA, DFA, and FTA. • Ability to work effectively with sensor suppliers and multidisciplinary engineering teams from concept through integration and verification. • Proven ownership and proactivity, with a strong bias for action and results. • Excellent analytical, written, and verbal communication skills. Ways to stand out from the crowd: • Experience developing automotive sensor systems or evaluating sensor safety concepts and architectures. • Understanding of functional-safety development processes required for ISO 26262 or other relevant industry standards such as IEC 61508 and ISO 13849. • Experience defining or verifying safety mechanisms, and writing requirements, for safety-critical sensor hardware and systems. • Experience in PCB or ECU design and embedded systems based on NVIDIA SoCs. • Background in system modeling using SysML and developing structured user documentation such as DITA. NVIDIA empowers automakers, developers, manufacturers, researchers, and startups to build and deploy physical AI systems. Its unified AI comput