Jobs / United States / Nvidia Corporation
Senior Software Engineer, Kubernetes Runtime and Release
Nvidia Corporation · 🇺🇸 US, CA, Remote · Remote
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 roles701 certified filings for “Engineer Senior Systems Software” (Software Developers) in CA: $173k–$214k, median $190k. Most were filed at wage level IV (82%) — 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 researchers depend on GPU clusters for large-scale AI workloads. Our DGX Cloud Kubernetes Runtime & Release team brings those clusters to life across major public clouds and specialized GPU providers, often on hardware that is new to the world when we get it. We build and maintain the supported Kubernetes runtime, automate its delivery, and bring new providers and GPU platforms into production. We’re growing quickly and taking on broader ownership of NVIDIA’s cluster software delivery. We’re hiring across Runtime, Release Engineering, and Provider Integration, with each role focused on your strengths. You don’t need experience across every area below. What you’ll be doing: Your primary focus will be one of three areas, with collaboration across the team: • Runtime: Build Go controllers and APIs to install, upgrade, and validate GPU cluster software. Integrate components, define API contracts, and evolve Helm and Argo CD delivery toward controller-driven automation. • Release Engineering: Build validation pipelines that inform release decisions across providers and GPU platforms. Develop systems to allocate GPU capacity across validation runs and account for cloud reservations and quotas. Make qualification more efficient through reusable tests and clear failure reports. • Provider Integration: Bring new providers and GPU hardware into production, potentially among the first engineers working with new silicon. Resolve integration failures with partner teams and turn initial provisioning, upgrade, and operational checks into repeatable automation. What we need to see: • 6+ years building production infrastructure software or distributed systems. • Strong programming skills in Go or another language to build production systems, with willingness to work primarily in Go. • Kubernetes experience and depth in at least one area: controllers and operators, release automation, test and validation systems, or cloud integration. • Experience delivering engineering projects, diagnosing complex failures, and collaborating across teams. • BS or MS in Computer Science, Engineering, or equivalent experience. Ways to stand out from the crowd: • Experience in any of these areas is valuable, but not required: • Go development with controller-runtime, CRDs, and reconcilers. • Release qualification across multiple environments or platforms. • GPU infrastructure, accelerated networking, or GPU scheduling. • Bringing new hardware, regions, or cloud providers into production. • Resource allocation, leasing, or fair-share scheduling and upstream integration, compatibility, or software supply chain integrity. This role suits an engineer who wants direct influence over what reaches production, and who builds for the hundredth cluster while shipping the first. Join us and help build the next generation of NVIDIA’s GPU cloud infrastructure! Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5. You will also be eligible for equity and benefits . Applications for this job will be accepted at least until October 3, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.