Senior Software Engineer, GPU Cluster Infrastructure

Highlights

• Own and scale a fleet of hundreds of GPUs powering AI safety research.
• Unify scheduling and storage so users see multiple clusters as one system.
• Harden platform security for AI agents running directly on the cluster.

What they offer

• 94% health insurance premium coverage
• 401(k) plan with up to 2% match
• 25 days PTO plus 10 days paid sick leave
• Paid bereavement, family, medical and pregnancy disability leave
• WFH stipend and equipment provided
• Catered lunches and dinners in Berkeley office

Ideal candidate

Infrastructure specialist who loves owning large GPU systems end-to-end to accelerate researchers. You thrive with deep ownership in one area and care deeply about safe, beneficial AI.

Requirements

• Bring real depth in at least one part of infrastructure stack from scheduling to storage to monitoring to security
• Experience with large-scale pre-training and post-training infrastructure and network fabric
• Experience with cluster security and sandboxing, distributed storage or batch scheduling for large GPU clusters