Jobs / United States / Nvidia Corporation
Senior Hardware System Validation 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).
- Last confirmed live 1 day agoWhen 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
Our technology has no boundaries! NVIDIA is building the world’s most groundbreaking and state of the art compute platforms for the world to use. It’s because of our work that scientists, researchers and engineers can advance their ideas. At its core, our visual computing technology not only enables an amazing computing experience, but it is also energy efficient! We pioneered a supercharged form of computing loved by the most demanding computer users in the world - scientists, designers, artists, and gamers. It’s not just technology though! It is our people, some of the brightest in the world, and our diverse company culture make NVIDIA one of the most fun, innovative and dynamic places to work in the world! At the center of NVIDIA's culture are our core values like innovation, excellence and determination and team, that guide us to be the best we can be. We are looking for a Senior Hardware System Validation Engineer to lead HW validation activities in the Datacenter Systems Engineering team. You'll work closely with solution architects, HW system engineers, Software, Network & Storage architects, validation engineers, OEM/ODMs, and AE teams to ensure product validation and test coverage are optimal. The ideal candidate is self-motivated, works well with different teams, very comfortable in a lab environment and demonstrates passion towards product level validation. They should have strong debug analysis fundamentals as well as automation and scripting experience. They must be capable of thriving in fast paced environment with evolving product definitions. What you’ll be doing: • Developing new and extending existing test strategies & executing to guarantee the highest level of quality from both functional and performance perspectives. • Designing and developing software that automates the verification of all Data Center Scale infrastructure components. Your expertise in developing efficient and reliable automation tools with Python will play a crucial role in streamlining our testing processes. • Validation of distributed Storage systems (e.g., Lustre) on AI/HPC Datacenter scale infrastructure • Collaborate with multi-functional teams including application teams, HW designers, networking team, FW, security etc. to debug any HW/SW product issues. • Debug, triage issues, perform root cause analysis, verify fixes, define new tests, and improve product test plans. • Analyzing and root-causing issues down to the code level, leading the defect fixing process, and bug life cycle management. Your strong problem-solving skills will allow you to address challenges with efficiency and precision. What we need to see: • MSEE/MSCE or equivalent experience • 10+ years of validation experience • Over 5 years of proven experience in Software Quality Engineering & Storage system verification desired including significant contributions to QA strategies and test documentation. • Proven expertise in Test Framework & automation scripts development, CI/CD experience using Python, SHELL, Ansible, Git & Jenkins, docker containers & Kubernetes. • Solid understanding of system-level debugging and analysis tools • Strong communication skills and ability to participate in cross-functional quality initiatives & Cross-collaboration with Dev & Product Management teams to understand specification • Excellent design, debugging and problem-solving skills, with a strong bias for action, quality and engineering excellence. • Experience in using AI coding assistants to improve coding efficiency and correctness Ways to stand out from the crowd: • Experience with GPU server architecture and storage validation in Datacenter infrastructure. • Hands on & expertise with Kubernetes, Docker containers & Jenkins pipelines • Certifications in storage (e.