Senior DevOps Engineer, Cloud Simulation Infrastructure

Nvidia

Confirmed live yesterday High trust

Quick summary

Work type
On-site
Location
Santa Clara, CA
Salary
$184,000–$287,500 / yr
Posted
7 days ago
Freshness
Confirmed live yesterday

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $162k
This role $236k
$108k most similar roles pay here $307k

This role pays more than 92% of similar roles. Most pay $126,800–$196,750 — the shaded band above. At the midpoint, this role pays about $236k versus about $162k for comparable roles.

Based on 240 similar postings.

Employer

About Nvidia

Nvidia is a leading designer of graphics processing units (GPUs) and system-on-chip units, powering gaming, professional visualization, data centers, and artificial intelligence workloads. Industry: Semiconductors & AI Computing

Nvidia currently has 896 open roles on FindRole.

Listed pay typically runs $184,000–$287,500 across 876 roles with salary data.

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View all roles at Nvidia

At a glance

TL;DR · Senior DevOps Engineer, Cloud Simulation Infrastructure

As a Senior DevOps Engineer, Cloud Simulation Infrastructure, you will own the end-to-end cloud execution pipeline for SimReady assets to transition from local workstation validation to high-scale automated cloud validation on NVIDIA Cloud Functions. You will deploy multi-GPU pipelines supporting structural validation, AI-driven runtime behavioral testing, and automated asset remediation. Your daily work involves managing container packaging, GPU initialization, and optimizing performance regarding gRPC bottlenecks and function-to-function networking. You will build artifact evidence pipelines, establish CI/CD monitoring, and implement atomic update semantics to ensure operational reliability. The role requires expertise in Kubernetes, Docker, Python, and systems scripting for test orchestration. You will solve complex technical challenges involving Isaac Sim, Omniverse, USD, and Sensor RTX workflows within a robotics simulation and physical AI domain to automate quality gates and infrastructure scaling.

What does a DevOps Engineer earn?

Median $126800 from 89 postings across 26 companies.

See salary data

What you'll do

  • Deploy Isaac Sim runtimes within GPU-aware containers for physics, sensor, and rendering validation.
  • Architect scalable execution layers to conduct runtime behavior-based testing using rule-based or AI systems.
  • Develop an AI-driven pipeline to intercept failures and trigger automated asset fixes.
  • Scale simulation execution from single workstations to massive, multi-GPU cloud environments.
  • Optimize performance for gRPC bottlenecks and function-to-function networking in the cloud.
  • Automate the generation of verification videos, thumbnails, and metadata for asset traceability.
  • Establish robust CI/CD pipelines with comprehensive logging, metrics, and tracing for observability.
  • Implement atomic update semantics and safe failure handling to protect the primary asset library.

What we're looking for

  • BS or MS degree in Computer Science, Computer Engineering, or a related field (or equivalent experience).
  • 8+ years of professional experience working on DevOps and/or cloud simulation.
  • Extensive experience in production-grade DevOps, SRE, or Infrastructure Engineering with a focus on GPU-backed cloud services.
  • Proven expertise in container orchestration using Kubernetes and Docker.
  • Proficiency in Python and systems scripting for test orchestration and pipeline automation.
  • Experience developing CI/CD pipelines and automated testing frameworks involving AI/ML inference or computer vision.
  • Ability to design distributed job lifecycle services and resolve distributed network bottlenecks like gRPC.
  • Familiarity with Isaac Sim, Omniverse, USD, or Sensor RTX workflows is preferred.

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