Jobs / United States / Nvidia Corporation
Head of Global Customer Engineering - Internal EDA Infrastructure
Nvidia Corporation · 🇺🇸 6 Locations
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 roles113 certified filings for “Manager Systems Software” (Architectural and Engineering Managers) in CA: $214k–$248k, median $222k. Most were filed at wage level II (40%) — 2 lottery entries, ≈31% 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
Every NVIDIA GPU starts as a job on our internal EDA infrastructure. Thousands of hardware engineers designing next-generation silicon depend on it being fast, available, and frictionless and when it isn’t, tapeout schedules feel it. This team is the difference. We’re hiring a hands-on engineering leader to develop our Global Customer Engineering for Internal EDA Infrastructure - the organization sitting directly between our chip designers and the platforms they run on. This is a multi-team leadership role spanning managers and tech leads across a globally distributed organization, and it comes with two co-equal mandates: A world-class customer engineering organization for EDA infrastructure - reactive when it must be, proactive by design. The Kubernetes platform team that delivers one of our customer services end to end. You will design software solutions, and automation pipelines to eliminate operational overhead. When encountering recurring toil for customer engineering, your immediate impulse is to engineer permanent automated remedies. Staying directly connected to live production environments is essential hence the end-to-end Kubernetes platform responsibility . What You’ll Be Doing: • Build the leaders. Grow and develop the leaders running a globally distributed team of customer-facing engineers who own the reactive support queue for EDA infrastructure - escalating into service engineering with clean, high-quality signal. • Develop the Kubernetes platform. Run the K8s platform team as a first-class customer engineering service: availability, roadmap, developer experience, and the operational excellence behind it. • Ship the L0 AI support layer. Own the evolution of our AI support agent from FAQ bot to a system that safely resolves real issues against real internal systems - and measurably removes volume from human queues. • Set the bar. Define and defend SLOs for operational performance, and win genuine stakeholder buy-in. • Stay close to the metal. Drive deep support and continuous improvement across EDA job schedulers (LSF/Slurm), Kubernetes platforms, and the internal LLM harnesses our chip designers depend on. What We Need To See: • 12+ overall years building and leading engineering support organizations, spanning reactive and proactive customer engineering. • 5+ years of experience leading a globally distributed organization, including developing managers and leaders. • Proven ability to influence technical roadmaps by turning support trends into engineering requirements that actually ship. • Deep technical familiarity with Kubernetes, EDA workloads, job schedulers, and AI/LLM infrastructure foundations. • Track record of leveraging automation and AI/ML to improve support efficiency and drive ticket volume down. • Exceptional communication skills - credible with individual engineers and executive leadership in the same day. • A Bachelor’s degree in a relevant engineering field or equivalent experience. Ways To Stand Out from the Crowd: • Led a platform team and a customer facing team simultaneously , and made each one better because of the other. • You’ve architected “self-healing” support ecosystems where a customer engineering team builds and owns the tools it runs on including “shift-left” tooling that resolved issues before a ticket ever existed. • You’ve led the full lifecycle of generative AI / LLM-based support assistants , well beyond basic chatbots, into systems that integrate deeply and safely with internal infrastructure. • Run LSF, Slurm, or Kubernetes at a scale where manual intervention was the bottleneck and you personally led the automation that removed it. NVIDIA is leading the way in groundbreaking developments in Artificial Intelligence, High-Performance Computing, and Visualizat