Software Engineer, GPU Infrastructure

About the Company

Fluidstack is building civilization-scale infrastructure for AI, focused on delivering massive amounts of compute by designing, building, and operating data centers. The company emphasizes extreme ownership, velocity, and first-principles thinking to push the frontier of AI infrastructure.

Responsibilities

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

Requirements

• Experience shipping production automation that other teams depend on.
• Ability to reason about hardware failure modes at the firmware and silicon level.
• Proficiency with AI coding tools (e.g., Claude Code, Cursor).
• Comfort with high-intensity environments and on-call responsibilities.
• Ability to move quickly through ambiguous technical domains.

Preferred Qualifications

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