You will also work directly with researchers to move AI workloads from experimentation to large-scale GPU execution, providing expertise across Jupyter, containers, Kubernetes, GPU scheduling, distributed training, and AI frameworks. Troubleshoot AI workloads across the stack, including Python environments, Jupyter, containers, Kubernetes, GPU scheduling and allocation, storage, networking, and AI frameworks.