Jobs / United States / Nvidia Corporation

Software Engineer, SRE and Production Engineering - DGX Cloud

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 roles2 certified filings for “Senior Network Operations Engineer - DGX Cloud” (Computer Network Architects) in VA: $163k–$163k, median $163k. Most were filed at wage level III (100%) — 3 lottery entries, ≈46% 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

2,374 H-1B filings certified since Oct 2025

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 DGX Cloud builds and operates large-scale GPU infrastructure for AI workloads. We are looking for Software Engineers with SRE or Production Engineering experience who have worked hands-on with bare-metal NVIDIA systems. This team builds the software and operational tooling that moves GPU capacity from installed hardware to production service supporting an IaaS production environment of BMaaS, VMaaS. What makes this opportunity outstanding is the chance to work with innovative technology to develop the future of AI computing. Join us to be part of a world-class team and make an impact on the next era of computing! At NVIDIA, you’ll help make next-generation AI infrastructure production-ready at scale! What you’ll be doing: • Build automation for bare-metal provisioning, hardware validation, firmware and software upgrades, repair, and cluster lifecycle management. • Build tools using BMC and Redfish interfaces to assess hardware health, regulate server state, and facilitate recovery workflows. • Manage and enhance NVIDIA NVL72 systems and BlueField-3 or later DPUs within cloud partner and on-premises environments. • Diagnose failures across servers, DPUs, GPU systems, CPU systems, networking, Linux, and Kubernetes; turn recurring issues into automated detection and repair. • Define validation and handoff criteria so new capacity enters production safely and consistently. • Take part in on-call duties, incident response, root-cause analysis, and ensure permanent resolutions are implemented. • Collaborate with hardware, networking, platform, data center operations, and partner teams to resolve issues across ownership boundaries. What we need to see: • 8+ years building software for or operating production infrastructure, including substantial hands-on bare-metal experience. • Strong Go or Python skills, with a record of delivering production automation and services. • Direct experience working with BMC and Redfish for server provisioning, health inspection, power control, or fault diagnosis. • Practical experience working directly with NVIDIA GPU hardware, including NVL72 systems, and BlueField-3 or later DPUs. • Experience with Linux, firmware and driver management, network boot, and the server lifecycle from initial provisioning through repair. • Experience managing production reliability via on-call duties, incident handling, observability, and durable solutions. • Ability to debug failures across hardware, host operating systems, networking, and distributed services. • Clear communication and demonstrated ownership of problems that span multiple teams. • BS/MS in Computer Science or equivalent experience in a related field. Ways to stand out from the crowd: • Experience operating BlueField DPUs in DPU mode, including host-to-DPU connectivity and lifecycle debugging, or equivalent experience. • Background with NVLink, InfiniBand, Spectrum-X, or GPU cluster performance validation. • Experience building safe, repeatable workflows for rack-scale bringup, firmware upgrades, hardware replacement, and customer handoff. • Background with Kubernetes, GitOps, Argo CD, SLOs, and fleet-wide automation. 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. You will also be eligible for equity and benefits . Applications for this job will be accepted at least until October 13, 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

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Source: Employer career site (Workday) First seen: 2026-10-10 Last confirmed: 2026-10-10 How our data works → Report this job

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