Software Engineer, Compute (GPU)

About the Company

Fluidstack is building civilization-scale infrastructure for AI, focused on delivering massive amounts of compute faster than anyone else. The company acquires power, designs and builds data centers, and operates them with teams spanning hardware and software.

Responsibilities

• Own compute fleet health end to end, including metrics pipelines, alerting, and unified health views.
• Build automation for deployment and repair pipelines to handle compute failures from detection through return to service.
• Design and expand the GPU qualification platform for burn-in, performance baselining, and NPI execution.
• Own 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.
• 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).
• Ability to manage incidents, write 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.
• Proficiency with BMC/Redfish or IPMI tooling.
• Experience with GPU qualification or burn-in frameworks.
• Knowledge of workflow and orchestration engines like Temporal or Cadence.
• Experience with metrics and alerting pipelines such as Prometheus or Grafana.
• Proficiency in Go or Python.