
Senior AI Compute Infrastructure Engineer
Senior engineer responsible for owning GPU/accelerator clusters and related stack (drivers, runtimes, device plugins, node config, schedulers, serving frameworks) to enable in-house model training and inference. Requires 5+ years in infrastructure engineering with hands-on experience operating GPU or accelerator-backed production environments, strong systems fundamentals (Linux, networking, storage, containers, Kubernetes), Python proficiency, and experience with ML serving frameworks and observability.







