We're looking for a Senior AI Compute Infrastructure Engineer to build the future of crypto. As a remote team member, you'll work with AI/ML researchers, platform engineers, security teams, and product teams to make Kraken's AI ambitions real. You'll own and operate GPU and accelerator clusters, design infrastructure for model training and inference, and optimize compute costs while maintaining performance, reliability, and availability expectations.
Requirements
- 5+ years of infrastructure engineering experience with significant time spent on GPU compute, ML infrastructure, distributed systems, high-performance computing, or large-scale production platforms
- Hands-on experience operating GPU clusters or accelerator-backed infrastructure in production or production-like environments
- Strong systems engineering fundamentals across Linux, networking, storage, containers, Kubernetes, distributed runtimes, and production debugging
- Experience with ML serving frameworks such as vLLM, Triton Inference Server, TensorRT, TorchServe, KServe, Ray Serve, or equivalent systems
- Proficiency in Python for infrastructure automation, tooling, debugging, integration, and operational workflows
- Practical understanding of performance tradeoffs across batching, concurrency, memory usage, GPU utilization, model size, latency, throughput, availability, and cost
- Track record of optimizing compute costs while maintaining clear performance, reliability, and availability expectations
- Experience building observable systems with useful metrics, logs, traces, dashboards, alerts, and incident workflows
- Clear communicator who can translate infrastructure tradeoffs for researchers, product teams, platform engineers, security stakeholders, and engineering leadership
Benefits
- Generous Paid Time Off
- 401k Matching
- Retirement Plan
- Visa Sponsorship
- Four Day Work Week
- Generous Parental Leave
- Tuition Reimbursement
- Relocation Assistance