Infrastructure Engineer

Autolab is focused on building distributed systems for machine learning experiments, and they are seeking an Infrastructure Engineer. The role involves designing and operating systems for scheduling experiments, managing GPU resources, and ensuring observability of machine learning workloads.

Responsibilities:

• Design and operate the orchestration layer that schedules thousands of concurrent experiments across heterogeneous GPU fleets
• Build GPU scheduling that keeps clusters near full utilization, from a single lab 3090 to multi-node H100 clusters
• Own artifact storage for checkpoints, datasets, and logs: versioned, deduplicated, and fast to fetch
• Build the observability pipeline that ingests training telemetry at high volume without slowing runs down
• Make experiment launches reproducible: environments, dependencies, and data pinned by default
• Set the engineering practices, CI, deployment, on-call, that the team grows into