GPU Infrastructure Engineer for ML Systems (Hybrid)

H Company is seeking an experienced infrastructure engineer to own the GPU compute powering our model training, evaluation and serving systems. You will operate the cluster stack from Kubernetes down to the GPU hardware, ensuring reliable production and optimizing performance for training and serving workloads.

You will run GPU-enabled Kubernetes clusters, improve scheduling and placement, and coordinate capacity with cloud providers.