← All roles

Senior DevOps Engineer, Cloud Simulation Infrastructure

NVIDIA· Engineer, Sys SW
Apply on company site
Santa Clara, CA$184k - $287.5kFull-timePosted 3mo ago

About the role

Senior DevOps / Cloud Simulation Infrastructure Engineer responsible for end-to-end cloud execution pipeline for SimReady assets, deploying multi-GPU pipelines in NVIDIA Cloud Functions, and building scalable infrastructure from local validation to large-scale cloud validation with observability, CI/CD, and automated remediation.

Responsibilities

  • Deployment: Deploy full Isaac Sim runtimes within GPU-aware NVCF containers. Manage container packaging, GPU initialization, and runtime utilities for physics, sensor, and rendering validation.
  • Deploy Structural Validation: Deploy services to validate USD structure and compliance without runtime overhead.
  • Deploy Runtime Validation: Architect scalable execution layers to conduct runtime behavior-based testing (e.g., drop/grasp tests). Deploy rule-based systems or AI based systems for automated pass/fail grading.
  • Deploy Automated Remediation: Develop an AI-based pipeline that intercepts failures, triggers automated asset fixes, and re-validates results to ensure quality standards.
  • Cloud Infrastructure Ownership: Scale execution from single-workstation validation to massive, multi-GPU cloud environments. Optimize for performance, addressing function-to-function networking, gRPC bottlenecks, and in-cluster proxy behavior.
  • Artifact & Evidence Pipeline: Automate the generation of verification videos, thumbnails, feature-level reports, and validation metadata. Ensure all assets are traceable and linked to quality gates.
  • Observability & CI/CD: Establish robust CI/CD, cluster verification, and monitoring pipelines. Implement logging, metrics, and tracing to ensure services are observable, debuggable, and production-ready.
  • Operational Reliability: Implement atomic update semantics and safe failure handling to ensure validation processes never corrupt the primary asset library.

Qualifications

  • 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.
  • Extensive experience in production-grade DevOps, SRE, or Infrastructure Engineering, with a focus on GPU-backed cloud services.
  • Proven expertise in container orchestration (Kubernetes/Docker) and CI/CD pipeline development.
  • Experience with automated testing frameworks, preferably involving AI/ML inference, computer vision, or rule-based validation.
  • Proficiency in Python and systems scripting for test orchestration and pipeline automation.
  • Strong ability to design and maintain distributed job lifecycle services (submit/poll/fetch/cancel) and handle asynchronous failure states.
  • Ability to diagnose and solve distributed network bottlenecks, including gRPC and function-to-function communication.

Skills

Required:GPU-backed cloud servicescontainer orchestrationCI/CDPythondistributed systemsgRPC/networking
Nice to have:AI/ML validation frameworksUSD/Robotics simulation tools

Benefits

  • equity
  • benefits (see NVIDIA Benefits)
Last updated Sep 11, 2026. Interested? Apply on the company site.

About NVIDIA

World Leader in AI Computing

NVIDIA invents the GPU and drives advances in AI, HPC, gaming, creative design, autonomous vehicles, and robotics.

AIautonomous vehiclesgaminggpugraphics cardhigh performance computingliquid-ai-recruiting-targetllm
Company profileWebsite

More open roles at NVIDIA