Senior DevOps Engineer — Cloud Simulation & AI Validation

NVIDIA Corporation (old); Santa Clara (CA); On-site; USD 184,000 - 288,000; Full time

Job summary

NVIDIA Corporation seeks a Senior DevOps / Cloud Simulation Infrastructure Engineer to own the end-to-end cloud execution pipeline for SimReady assets. This role enables scalable, automated cloud validation on NVIDIA Cloud Functions (NVCF) with multi-GPU pipelines and robust observability.

You will deploy runtimes, validate USD structures, orchestrate CI/CD, and implement AI-based remediation to ensure quality without compromising the main asset library.

Qualifications

• BS or MS degree in Computer Science, Computer Engineering, or related field; or equivalent experience.
• 8+ years of professional DevOps/cloud simulation experience.
• Experience with production-grade DevOps, SRE, or Infrastructure Engineering focused on GPU-backed cloud services.
• Proficiency with container orchestration (Kubernetes/Docker) and CI/CD pipeline development.
• Experience with automated testing frameworks, preferably involving AI/ML inference, CV, or rule-based validation.
• Proficiency in Python and systems scripting for test orchestration and pipeline automation.
• Ability to design and maintain distributed job lifecycle services and handle asynchronous failure states.

Responsibilities

• Deploy full Isaac Sim runtimes within GPU-aware NVIDIA Cloud Functions containers and manage packaging, GPU initialization, and runtime utilities.
• Deploy services to validate USD structure and compliance with minimal runtime overhead.
• Architect scalable runtime validation layers for AI-driven testing and automated pass/fail grading.
• Develop an AI-based automated remediation pipeline to intercept failures and trigger asset fixes.
• Scale cloud execution from single-workstation validation to multi-GPU environments with robust performance tuning.
• Automate verification artifacts (videos, thumbnails, reports) and ensure traceability to quality gates.
• Establish robust CI/CD, cluster verification, monitoring, logging, metrics, and tracing for production readiness.
• Ensure atomic update semantics and safe failure handling to protect the asset library.

Skills

DevOps

Cloud simulation

Python scripting

Distributed systems

gRPC

CI/CD

Performance optimization

Education

BS or MS in Computer Science/Engineering

Tools

Kubernetes

Docker

Job description

NVIDIA Corporation seeks a Senior DevOps / Cloud Simulation Infrastructure Engineer to own the end-to-end cloud execution pipeline for SimReady assets. This role enables scalable, automated cloud validation on NVIDIA Cloud Functions (NVCF) with multi-GPU pipelines and robust observability.

You will deploy runtimes, validate USD structures, orchestrate CI/CD, and implement AI-based remediation to ensure quality without compromising the main asset library.