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NVIDIA

Senior DevOps Engineer, Cloud Simulation Infrastructure - CA, Santa Clara, United States

NVIDIA US, CA, Santa Clara, United States 3 months ago
Embedded & Systems Software

$184,000 - $287,500 USD yearly

Originally posted 17 July 2026 by the employer.

Deploy Isaac Sim runtimes and multi-GPU validation pipelines on NVIDIA Cloud Functions (NVCF).

About the role

You will own the complete end-to-end cloud execution pipeline for SimReady assets, transitioning validation from local workstations to high-scale automated execution on NVIDIA Cloud Functions (NVCF). The role involves deploying a multi-GPU pipeline supporting structural validation, runtime behavioral testing, and automated asset remediation.

What you'll do

- Deploy full Isaac Sim runtimes within GPU-aware NVCF containers, managing container packaging, GPU initialization, and runtime utilities. - Deploy services to validate USD structure and compliance, alongside scalable execution layers for runtime behavior-based testing. - Develop an AI-based pipeline that intercepts validation failures, triggers automated asset fixes, and re-validates results. - Scale validation workflows across multi-GPU cloud environments while resolving function-to-function networking, gRPC bottlenecks, and in-cluster proxy behavior. - Establish CI/CD, cluster verification, logging, metrics, and tracing pipelines to ensure cloud services are observable and production-ready. - Implement atomic update semantics and safe failure handling to protect asset libraries from corruption during validation.

What you'll need

- BS or MS degree in Computer Science, Computer Engineering, or related field (or equivalent experience). - 8+ years of professional experience working on DevOps and/or cloud simulation. - Experience in production-grade DevOps, SRE, or Infrastructure Engineering focused on GPU-backed cloud services. - Expertise in container orchestration (Kubernetes/Docker) and CI/CD pipeline development. - Proficiency in Python and systems scripting for test orchestration and pipeline automation. - Experience with automated testing frameworks involving AI/ML inference, computer vision, or rule-based validation. - Experience designing and maintaining distributed job lifecycle services and diagnosing distributed network bottlenecks including gRPC.

Skills: DevOps, cloud simulation, multi-GPU pipeline, Kubernetes/Docker, CI/CD

Market context

This role has been open 95 days — well above the 50-day median for Infrastructure/Platform Software roles.

Infrastructure/Platform Software · Infrastructure Platform

Open roles in category
998
Median days open
50 d
Median salary
$235k
See the full market breakdown ▾Category comparison, skills in demand, and who else is hiring
How NVIDIA compares in Infrastructure/Platform Software hiring
Metric NVIDIA All employers we track in this specialty (998 roles · 89 employers)
Open roles in this specialty 293 998
Open roles in the wider Software, Firmware & Systems family 1004 6279 · 145 employers
Median days open 47 d 50 d (−3 d vs this employer)
Median salary (USD postings) — $235k

Skills observed across this category: DevOps, cloud simulation, multi-GPU pipeline, Kubernetes/Docker, CI/CD

Who's hiring in this category

  • NVIDIA (this employer) · 290 open roles · median 47 d
  • Qualcomm · 62 open roles · median 51 d
  • AMD · 58 open roles · median 22 d
  • Graphcore · 50 open roles · median 96 d
  • Intel Corporation · 44 open roles · median 13 d
  • Cerebras · 35 open roles · median 86 d

How we counted: 998 open Infrastructure/Platform Software (Infrastructure Platform) roles from 89 employers tracked in the SemiconductorJobs index, counted 21 Oct 2026. Specialty figures count only roles carrying this exact specialty label, so an employer's related work in neighbouring specialties is not included there — it is counted in the wider Software, Firmware & Systems family row. Figures refresh nightly.

Apply now
US, CA, Santa Clara, United States
On-site
$184,000 - $287,500 USD yearly
3 months ago

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