Senior DevOps Engineer, Cloud Simulation Infrastructure

What you'll do

• Deploy Isaac Sim runtimes within GPU-aware NVCF containers for physics, sensor, and rendering validation.
• Architect scalable execution layers for runtime behavior-based testing and automated pass/fail grading.
• Develop an AI-based pipeline to intercept failures and trigger automated asset remediation.
• Scale execution from single-workstation validation to massive, multi-GPU cloud environments.
• Optimize performance by addressing function-to-function networking, gRPC bottlenecks, and in-cluster proxy behavior.
• Automate the generation of verification videos, thumbnails, feature-level reports, and validation metadata.
• Establish CI/CD pipelines with logging, metrics, and tracing for production-ready observability.
• Implement atomic update semantics and safe failure handling to prevent corruption of 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 (Kubernetes/Docker) and CI/CD pipeline development.
• Proficiency in Python and systems scripting for test orchestration and pipeline automation.
• Ability to design and maintain distributed job lifecycle services and diagnose distributed network bottlenecks like gRPC.
• Experience with automated testing frameworks involving AI/ML inference, computer vision, or rule-based validation (preferred).
• Direct experience with NVCF, DGX Cloud, Isaac Sim, Omniverse, USD, or robotics simulation (preferred).