Jobs / United States / Nvidia Corporation
Senior AI Infrastructure Engineer - EDA Infrastructure
Nvidia Corporation · 🇺🇸 5 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 roles3 certified filings for “Engineer Senior Network Infrastructure” (Database Administrators) in CA: $177k–$177k, median $177k. Most were filed at wage level IV (100%) — 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
AI Infrastructure Engineers at NVIDIA build the systems, tooling, and data infrastructure that enable operation of our GPU cloud services. We are enabling engineering teams to innovate while proactively identifying, tracking, and mitigating risks across the entire technical task. This role is ideal for engineers who thrive at the intersection of product, infrastructure, and software engineering and who want to build automated, intelligence-driven systems that protect NVIDIA’s most critical AI platforms. What you’ll be doing: Telemetry • Build and operate scalable telemetry pipelines for metrics, logs, traces, and events across on-premise, CSP, and NCP clusters. • Establish common instrumentation, collection, storage, and access patterns so teams can generate and consume telemetry consistently. • Deliver dashboards, alerting, and analysis capabilities that improve service visibility, detection, and troubleshooting. Operational Excellence • Standardize and automate incident, maintenance, service on-call, and support on-call workflows across HWInf. • Integrate operational data and lifecycle signals to improve ownership, escalation, communication, and post-incident learning. • Build reporting and AI-assisted tooling that reduces manual toil and improves operational responsiveness. Cataloging and Inventory • Build and maintain physical hardware and software catalogs as trusted sources of truth for infrastructure inventory, service ownership, dependencies, and documentation. • Create consistent data models and integration pipelines that connect clusters, hardware, services, teams, and operational workflows. • Provide self-service discovery capabilities so engineers can quickly identify what they operate, who owns it, and how to support it. What we need to see: • BS degree in Computer Science, Computer Engineering, or a related technical field, or equivalent experience. • 8+ years of experience in infrastructure security, platform engineering, or security tooling. • Proficiency in one or more programming languages such as Python, Go, Typescript, or Java. • Strong understanding of software and infrastructure principles, with experience applying them in production environments. • Ability to lead cross-functional initiatives that span internal teams and external partners in varying disciplines across engineering, product, finance, and security. Ways to stand out from the crowd: • Experience building and operating incident-management processes with internally built and/or externally vended SaaS tools • Experience working with building, deploying, and maintaining ML models in production systems along with familiarity with AI agent frameworks or orchestration tools • Experience building and operating modern observability platforms to deliver scalable metrics, logs, traces, and profiling Experience working with service catalog and configuration management databases (CMDB) NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hard-working people in the world working for us. Are you creative and autonomous? Do you love a challenge? If so, we want to hear from you. NVIDIA is leading the way in groundbreaking developments in Artificial Intelligence, High-Performance Computing and Visualization. The GPU, our invention, serves as the visual cortex of modern computers and is at the heart of our products and services. If you're creative and self-motivated, we want to hear from you! NVIDIA is leading the way in groundbreaking developments in Artificial Intelligence, High-Performance Computing and Visualization. The GPU, our invention, serves as the visual cortex of modern computers and is at the heart of our products and services. Your base sala