The Senior DevOps / Cloud Simulation Infrastructure Engineer will own the end-to-end cloud execution pipeline for SimReady assets, transitioning validation processes to high-scale, automated cloud environments. This role is crucial for deploying a robust, multi-GPU pipeline that supports various validation methods. The engineer will work with NVIDIA Cloud Functions to enhance product strategy and ensure quality standards through automated remediation and testing. The position requires extensive experience in DevOps and cloud simulation, focusing on GPU-backed services.

• 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 and handle asynchronous failure states.
• Ability to diagnose and solve distributed network bottlenecks, including gRPC and function-to-function communication.

• Deploy full Isaac Sim runtimes within GPU-aware NVCF containers.
• Manage container packaging, GPU initialization, and runtime utilities for validation.
• Deploy services to validate USD structure and compliance without runtime overhead.
• Architect scalable execution layers to conduct runtime behavior-based testing.
• Develop an AI-based pipeline that intercepts failures and triggers automated asset fixes.
• Scale execution from single-workstation validation to massive, multi-GPU cloud environments.
• Automate the generation of verification videos, thumbnails, and validation metadata.
• Establish robust CI/CD, cluster verification, and monitoring pipelines.
• Implement logging, metrics, and tracing to ensure services are observable and production-ready.
• Implement atomic update semantics and safe failure handling to ensure validation processes do not corrupt the primary asset library.

• Employees at NVIDIA are often offered comprehensive, day-one benefits—including medical, dental, and vision coverage with HSA support, life and disability insurance, an Employee Assistance Program, and a 401(k) with auto-enrollment. Many roles also have generous time off and holidays, donation matching (up to $10,000), and a wide menu of extras like FSAs, commuter benefits, legal and identity-theft protection, pet insurance, and wellness discounts. Optional programs can include student-loan and home-purchase support, plus family care resources and expert medical services.