
Senior AI Compute Infrastructure Engineer
Join Kraken's AI Compute and Infrastructure team to own GPU and accelerator clusters, scheduling, model serving, observability, capacity planning, and cost-efficient compute at scale. Requires 5+ years in infrastructure engineering with hands-on GPU/accelerator experience, strong systems fundamentals (Linux, networking, storage, containers, Kubernetes), ML serving frameworks knowledge, and proficiency in Python. Responsibilities include optimizing inference pipelines, reliability and incident response, hardware and runtime evaluation, and enabling internal teams to use GPU resources effectively.