Production Engineer, Compute (GPU)

About this role

Fluidstack seeks a Production Engineer to build automation and observability systems for managing one of the world's largest GPU compute fleets. You'll own end-to-end fleet health, design repair pipelines, qualify new hardware generations, and scale infrastructure that grows by entire sites every few months.

What you'll do

• Build metrics pipelines and alerting to track GPU fleet health across Kubernetes and bare metal at scale
• Develop automation to manage GPU failures from detection through triage, parts management, and return to service
• Design and expand GPU qualification platform including burn-in testing and performance baselining
• Own Redfish and BMC tooling for firmware-level telemetry and fleet-scale log collection
• Migrate live compute across production sites and bring new sites online sustainably
• Ensure reliability and operational discipline for rapidly expanding GPU fleet infrastructure

What they're looking for

• Hardware troubleshooting and understanding of firmware/silicon-level failure modes
• Kubernetes orchestration and bare metal infrastructure management
• Automation and scripting to eliminate manual operational toil
• Observability and metrics pipeline development
• Redfish/BMC and low-level hardware access protocols
• Rapid learning in unfamiliar technical domains
• Systems thinking at hyperscale
• Incident response and operational discipline

Benefits

• Work on civilization-scale AI infrastructure
• Extreme ownership with full autonomy and end-to-end scope
• High-velocity environment pushing technological frontiers
• Based in San Francisco, CA