Senior DevOps Engineer, Cloud Simulation Infrastructure

Senior Dev Ops / Cloud Simulation Infrastructure Engineer

We are seeking a Senior Dev Ops / Cloud Simulation Infrastructure Engineer to own the complete end‑to‑end cloud execution pipeline for Sim Ready assets!

• Deploy full Isaac Sim runtimes within GPU‑aware NVIDIA Cloud Functions containers, managing container packaging, GPU initialization, and runtime utilities for physics, sensor, and rendering validation.
• Deploy services to validate USD structure and compliance without runtime overhead.
• Architect scalable execution layers to conduct runtime behavior‑based testing (e.g., drop/grasp tests) and deploy rule‑based or AI‑based systems for automated pass/fail grading.
• Develop an AI‑based pipeline that intercepts failures, triggers automated asset fixes, and re‑validates results to ensure quality standards.
• Scale execution from single‑workstation validation to massive, multi‑GPU cloud environments, optimizing for performance and addressing function‑to‑function networking, gRPC bottlenecks, and in‑cluster proxy behavior.
• Automate generation of verification videos, thumbnails, feature‑level reports, and validation metadata, ensuring all assets are traceable and linked to quality gates.
• Establish robust CI/CD, cluster verification, and monitoring pipelines; implement logging, metrics, and tracing for observability and production readiness.
• Implement atomic update semantics and safe failure handling to ensure validation processes never corrupt the primary asset library.

• BS or MS degree in Computer Science, Computer Engineering, or related field (or equivalent experience).
• 8+ years of professional experience working on Dev Ops and/or cloud simulation.
• Extensive production‑grade Dev Ops, SRE, or infrastructure engineering experience 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.

• Direct experience deploying services on NVIDIA Cloud Functions or DGX Cloud.
• Deep familiarity with Isaac Sim, Omniverse, USD, or Sensor RTX workflows.
• Background in robotics simulation, physical AI, or large‑scale content creation pipelines.
• Experience building self‑healing or automated remediation workflows.
• Experience with cluster verification frameworks, stress testing, and deployment validation at scale.

Base salary range: 184,000 USD – 287,500 USD. Eligible for equity and benefits.

NVIDIA is committed to fostering an inclusive work environment and is an equal opportunity employer. NVIDIA does not discriminate on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.