Product Engineer, Data Center Automation

The role

You will build fleet health systems, automate repair and RMA flows, and ship hardware qualification as software. You will also manage facility maintenance systems and turn runbooks into checked procedures by working forward-deployed beside production engineers and facility operators.

What you will do

• Build the fleet health system with real-time telemetry and tiered healthchecks
• Turn repair and RMA into generated work
• Ship hardware qualification as software
• Run the facility on the same system as the fleet
• Turn every runbook into a checked procedure
• Work forward-deployed beside production engineers and facility operators

Required qualifications

• Shipped production code in Go, Python, or TypeScript
• Built real features on LLM APIs (OpenAI, Anthropic, or open-weight models), MCP servers, and agentic frameworks
• Work daily with AI coding tools like Claude Code and Cursor
• Identify problems, design the solution, and ship it without waiting for direction or approval
• Move fast under deadline while leaving foundations that other engineers extended
• Sat the on-call rotation or worked beside the people who do
• Product taste that shows in shipped interfaces and workflows

Nice to have

• Production engineering or SRE on large GPU fleets
• Hardware qualification or burn-in frameworks
• BMC, Redfish, or IPMI tooling
• CMMS, DCIM, or asset management systems
• BMS/EPMS or SCADA
• Prometheus and Grafana

Benefits

• Competitive total compensation package (cash + equity)
• Health, dental, and vision insurance
• Retirement plan
• Generous PTO policy

About the company

Fluidstack aims to deliver gigawatts of compute faster than anyone else by acquiring power, designing and building data centers, and operating them. They focus on building civilization-scale infrastructure for AI.