Production Engineer, Compute (GPU)

About the Company

Fluidstack is building civilization-scale infrastructure for AI. We are singularly focused on delivering 10 to 100s of GWs of compute faster than anyone else, rethinking every layer of the stack from power acquisition to data center design and operation.

Responsibilities

• Own compute fleet health end to end, including metrics pipelines, alerting, and unified health views.
• Automate deployment and repair pipelines to handle GPU failures from detection through triage and return to service.
• Design and expand the GPU qualification platform for burn-in, performance baselining, and NPI execution.
• Manage Redfish and BMC tooling, including firmware-level telemetry and log collection at fleet scale.
• Ensure end-to-end reliability, scalability, and operation of the global GPU fleet through aggressive automation.

Requirements

• Experience shipping production automation that other teams depend on.
• Strong instinct for hardware and ability to reason about failure modes at the firmware and silicon level.
• Proficiency with AI coding tools (e.g., Claude Code, Cursor) and AI frameworks.
• Ability to manage incidents, perform postmortems, and fix systemic causes.
• Comfort working in ambiguous environments and learning unfamiliar domains quickly.

Preferred Qualifications

• Experience with hardware lifecycle management and RMA automation.
• Expertise in BMC/Redfish or IPMI tooling.
• Experience with GPU qualification or burn-in frameworks.
• Knowledge of workflow orchestration engines like Temporal or Cadence.
• Experience with metrics and alerting pipelines such as Prometheus or Grafana.
• Proficiency in Go or Python.