Jobs / United States / Nvidia Corporation
Manager, First Time Deployment - NVIS
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 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
Will you be part of the team that helps our partners to develop customer solutions using the latest NVIDIA full stack accelerated computing platform? NVIDIA defines and delivers the computing infrastructure of today and tomorrow. We are committed that these infrastructures deliver the highest value to our customers who own and operate these infrastructures. We are looking for a team leader to operationalize the latest technologies at NVIDIA by bridging the gap between prototype models and production-ready deployment plans. The team will drive initial deployment setup, prepares sites, establishes product feedback loops to design engineering teams, assembles validation data, resolves obstacles, applies workarounds, and details deployment plans. They lead all aspects of making the latest NVIDIA products and systems functional by capturing install and bring-up evidence, handle the validation process, describe blockers, and find solutions to deploy AI Factories globally. What you will be doing: • Recruit & manage a team of solutions architects, system/network and software engineers focused on large-scale GPU and AI networking deployments. • Set priorities, allocate resources, mentor, and ensure high-quality customer delivery across multiple concurrent projects - while remaining directly involved in key technical reviews, design decisions, and critical debug efforts. • Provide deep subject-matter expertise in advanced GPU and network systems and serve as the senior technical point of contact for strategic customers. • Personally lead and guide complex compute/network configuration and performance debugging, working side-by-side with your team to deliver performant, reliable clusters. • Guide your team as they lead network / compute / software architecture discussions, and support server, network, and cluster bring-up, including on-site data center work where needed. • Systematically collect and synthesize customer-specific requirements across your portfolio. • Partner with GPU/Network Systems Engineering, Product Management, and Sales to influence roadmap priorities and packaging of reference designs and solutions. • Demonstrate SME in advanced GPU & network systems and be a trusted technical advisor to NVIDIA's strategic customers. Bring customer-specific requirements to product teams to guide product roadmap features. • Identify new project opportunities for NVIDIA products and technology solutions in data center and AI applications. Work closely with the GPU/Network Systems Engineering, Product management and Sales teams What we need to see: • BS/MS/PhD in Electrical/Computer Engineering, Computer Science, Physics, or other Engineering fields or equivalent experience. • 8+ overall years in Systems/Solutions/Field Engineering, Network or Data Center Engineering, or similar roles, with 2+ years leading or mentoring engineers or architects (formal manager or strong tech lead). • System-level expertise across CPU/GPU server architecture, NICs, Linux, system software, and kernel drivers. • Experience with data center networking (Ethernet and/or InfiniBand switches, fabrics, and associated tooling) and familiarity with data center infrastructure (power, cooling, deployment constraints). • Proven ability to lead technical teams, set priorities, and drive complex projects from design through production. • Demonstrated success working with Product Management, Sales, and Engineering. • Strong time management skills and ability to balance planning with hands-on support where needed. • Excellent written and verbal communication, including the ability to lead customer meetings, communicate status and risks, and produce clear design docs, debug summaries, and presentations. Ways to stand out from the crowd: • Direct people ma