Jobs / United States / Nvidia Corporation

Nvidia Corporation

Senior Software Engineer, Bare Metal Infrastructure – DGX Cloud

US, CA, Santa Clara Posted today

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Skills this job asks for

LLMsAuditInventory managementRustPythonLinuxNetworkingKubernetes

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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.
  • 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.
  • 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.
  • Confirmed live todayWhen a source last listed this job as open.
Details and sources
Employer is on a government sponsor record
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. Source: LCA disclosure data (US Department of Labor (OFLC)).
No salary bar for this route
H-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 roles
2 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. The pay stated here (152,000 USD) is below what this employer usually pays sponsored hires for this role. Source: US Department of Labor LCA disclosure data (Oct 2025 – Jun 2026).

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.

About the role

NVIDIA DGX Cloud builds large-scale GPU infrastructure that powers the world’s most demanding AI workloads. Our Bare Metal Infrastructure team owns the software that turns newly racked hardware into reliable, validated production capacity. We’re looking for a software engineer with deep systems engineering instincts — someone who writes production code and understands how servers, firmware, BMCs, and networks actually behave. You’ll work across the full bare-metal lifecycle: new platform introduction, firmware qualification, automated provisioning, validation, remediation, and handoff to production. We use AI agents and LLM tools heavily in how we build software, and we want someone excited to push that further. What you’ll be doing: • Designing, building, and maintaining production services for bare-metal discovery, provisioning, hardware validation, firmware upgrades, auditing, and repair across large GPU fleets. • Developing integrations with Redfish and vendor BMC interfaces to manage server state, collect inventory and health data, enforce configuration, and drive recovery — handling vendor differences in code. • Contributing to and reviewing code in our Rust codebase, and building supporting tools and services in Go and Python. • Turning recurring hardware, firmware, and connectivity failures into automated detection, validation, and repair workflows. • Defining and implementing automated validation and handoff criteria for new platforms, firmware releases, and rack-scale deployments. • Debugging complex failures across hardware, firmware, Linux, networking, and provisioning services, and feeding what you learn back into the software. • Partnering with server and component vendors and with internal platform, networking, datacenter, and production engineering teams to resolve cross-boundary issues. • Using AI agents and LLM tools daily to write, review, and test code and to investigate failures, and helping shape how the team builds with AI. What we need to see: • BS or MS in Computer Science, Computer Engineering, or equivalent experience. • 5+ years building production infrastructure software, automation, or services, including substantial hands-on work with bare-metal server systems. • Strong programming skills in Rust, Go, or Python, with a track record of designing, testing, shipping, and maintaining production code and willingness to work in Rust regularly. • Deep knowledge of enterprise server hardware from multiple vendors (Dell, Supermicro, Lenovo, HPE), including BMCs, BIOS/UEFI, and firmware management. • Direct experience with Redfish and IPMI for provisioning, health inspection, power management, or fault diagnosis, and with network boot (PXE/iPXE, DHCP, HTTP boot). • Strong Linux knowledge: boot process, kernel and driver interactions, hardware discovery, and low-level failure analysis. • Solid datacenter networking fundamentals with the ability to trace connectivity problems across host, management, and infrastructure networks. • Demonstrated, regular use of AI agents and LLM tools in software development, with strong interest in improving and the judgment to validate what they produce. Ways to stand out from the crowd: • Production experience writing Rust. • Experience with NVIDIA DGX or NVL72 systems, NVLink, InfiniBand, Spectrum-X, or BlueField DPUs. • Background in hardware qualification, rack-scale bring-up, firmware certification, or new product introduction, including safe, scalable workflows for fleet firmware upgrades, configuration enforcement, hardware replacement, and recovery. • Experience with Kubernetes, GitOps/Argo CD, or fleet-management platforms. • Examples of AI-driven tooling or workflows you’ve built that measurably changed how you or your team ships software. Your

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