GPU Platform Infrastructure Engineer

Support the GM ARC RTD team by building and maintaining the foundational GPU cluster platform infrastructure supporting shared AI/ML, simulation, and validation workloads. This role focuses on GPU access governance, resource allocation, scheduling policies, observability, and operational support for multi-tenant GPU environments including RTX 6000, A100, B200, and future systems., Manage GPU cluster access provisioning, onboarding, permissions, and lifecycle management Design and maintain GPU resource allocation policies, quotas, namespace isolation, and scheduling configurations Develop GPU utilization dashboards, reporting, monitoring, and capacity tracking solutions Create reusable job submission templates and onboarding documentation for ML, Isaac Sim simulation, and validation workloads Support platform governance, operational continuity, infrastructure scalability, and CI/CD integration Design and develop GUI-based tools for streamlined Docker development workflows Collaborate with infrastructure, AI/ML, and engineering teams to support shared GPU operations

Do you have experience in Tooling?, Do you have a Master’s degree?, 3+ years of experience in Platform Engineering, Infrastructure Engineering, DevOps, or related field Bachelor’s or Master’s degree in Systems Engineering, Computer Science, Computer Engineering, or related discipline, Experience with Linux, Kubernetes, Docker, and GPU infrastructure environments Knowledge of workload scheduling, resource management, and multi-tenant platform operations Experience supporting AI/ML, simulation, or GPU-intensive engineering workloads Experience with monitoring, observability, and reporting tools Strong scripting and automation skills using Python, Bash, or similar languages Familiarity with NVIDIA GPU platforms, containerized compute environments, and infrastructure automation tools Experience with CI/CD pipelines and cloud platforms such as AWS, Azure, or GCP is a plus Experience with GUI development frameworks is a plus Strong troubleshooting, documentation, and operational support skills