Platform Engineer

Highlights

• Foundational platform hire defining architecture from scratch, not maintaining it.
• Own mission-critical infrastructure pushing reinforcement learning to untried scale.
• Work directly speeds up experimentation for superlearner discovering all knowledge.

Ideal candidate

You thrive with real ownership, moving fast without sacrificing craft. You care about reliable infrastructure and faster experimentation to advance ambitious AI research.

Requirements

• Manage Kubernetes clusters and deploy internal tools
• Hands-on GPU scheduling at scale to keep thousands of GPUs productive
• Build resilient large-scale infrastructure and prevent recurring hardware failures
• Experience with Google Cloud and other major cloud providers
• Build helpful observability with log management and monitoring
• Create fast developer environments and day-to-day tooling
• Write clean, well-crafted Python and Rust for infrastructure tools