Senior AI Compute Infrastructure Engineer

The Role

Kraken is building a dedicated AI Compute and Infrastructure team to power the next generation of model training, inference, evaluation, and experimentation across the exchange. This team sits within engineering leadership and owns the infrastructure layer that lets Kraken run AI workloads with control, speed, reliability, and cost discipline.

The team is responsible for GPU and accelerator infrastructure, cluster operations, scheduling, model serving, observability, capacity planning, and cost‑efficient compute at scale. This is the backbone that allows Kraken to train, serve, evaluate, and iterate on AI systems in‑house where it matters for privacy, latency, reliability, cost, or product differentiation.

You will join a small, senior, high‑impact team working directly with AI/ML researchers, platform engineers, security teams, and product teams. The mandate is simple: make Kraken's AI ambitions real by building compute infrastructure that is f...