NVIDIA Corporation · Santa Clara, CA

Salary
$184,000–$287,500from the description
Posted
Jul 16, 2026
Location
Santa Clara, CA
Last confirmed open
Jul 21, 2026

What this job asks for AI summary

This role centers on building and owning a large-scale, GPU-backed cloud pipeline for validating and remediating 3D simulation assets, replacing workstation-based workflows with automated cloud execution on NVIDIA Cloud Functions. Day-to-day work spans deploying containerized Isaac Sim runtimes, architecting structural and behavioral validation services, building AI-driven remediation loops, and establishing CI/CD, observability, and artifact generation pipelines. It suits a seasoned infrastructure or SRE engineer with deep experience in GPU cloud environments and container orchestration.

Senior level · 8+ years · Santa Clara, CA · Full-time

Must have (7)
Kubernetes or Docker SwarmDockerCI/CDPythongRPCautomated testing frameworksdistributed systems
Nice to have (6)
NVCF or Dgx CloudIsaac Sim or OmniverseUSDSensor RTXrobotics simulationcluster verification frameworks

“or” means any one of them counts — you don't need all of them.

We read this from the posting text with AI. Skim the description below before ruling yourself out.

How this req sits in the market our data

Roughly 620 people in the Santa Clara, CA area plausibly meet what this posting asks for (software developers). range 460–960

Applicant volume Moderate — A normal amount of company. The rare requirements below are what will separate a shortlisted application from the rest.

What gives you an edge
gRPC10%

Rare in this occupation — lead with these, and say what you built with them.

What won't set you apart
Docker53%Python51%CI/CD45%

Most people in this occupation already list these. Still required — just not what gets you shortlisted.

What the occupation pays Median $217,796 (middle half $177,469–$231,052). This posting is about at that midpoint.

Estimated from BLS employment for this occupation and area, per-skill prevalence across our listing corpus, and published wage benchmarks — as of Jul 28, 2026. It is a model, not a headcount.

Why we read it this way (7)

Location is not explicitly stated in the posting; NVIDIA's headquarters is in Santa Clara, CA, and this role references GPU cloud infrastructure consistent with that base — metro assigned accordingly, but the actual work location may differ.

The degree requirement states 'BS or MS … or equivalent experience', so no formal degree is hard-gated.

The role sits at the boundary between Software Developer (15-1252) and Systems/Infrastructure Admin (15-1244). The JD emphasizes building and deploying pipelines, writing AI-based remediation systems, and architecting scalable execution layers — all shipping code — which tips it to 15-1252. 15-1244 is noted as a close runner-up.

Skills listed under 'Ways to stand out from the crowd' (NVCF/DGX Cloud, Isaac Sim, Omniverse, USD, Sensor RTX, robotics simulation, self-healing workflows, cluster verification) are treated as preferred.

'Automated testing frameworks' is listed in the required section with a qualifier 'preferably involving AI/ML inference, computer vision, or rule-based validation' — the framework experience itself is a hard gate; the specific domain is preferred context.

Compensation range of $184,000–$287,500/year is stated explicitly; equity and benefits are also mentioned.

Ignored 2 non-technology phrase(s) as skills (responsibilities/concepts, not named tools): GPU-backed cloud services, self-healing / automated remediation workflows.

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