ML GPU Infra Engineer: Kubernetes, Scheduling & Hybrid

H Company is looking for a Senior Infrastructure Engineer to own GPU compute powering model training, evaluation, and serving systems. You’ll operate clusters from Kubernetes to GPU hardware, coordinating capacity with cloud providers.

You will improve GPU scheduling, detect and repair unhealthy nodes, and scale a globally distributed GPU system over time. Collaboration with Platform Infrastructure, research, and product teams is essential.