FluidStack
Product Engineer, Commissioning
San Francisco, CA$150k–$275kfulltimemidAdded today
About this role
Fluidstack is seeking a Product Engineer to build software systems that automate AI data center commissioning, from test procedure generation to live site execution. You'll work at the intersection of infrastructure, controls engineering, and AI tooling to accelerate deployment of massive compute facilities.
What you'll do
- Generate automated commissioning test procedures from design specs and asset data across all facility levels
- Validate vendor factory acceptance tests against project requirements before witness tests
- Build commissioning schedules as software with dependency tracking and dynamic replanning
- Automate L4/L5 execution through BMS/EPMS systems on live sites using open protocols
- Capture and organize test results, issues, and corrective actions in a knowledge graph tied to assets
What they're looking for
- Production code in Go, Python, or TypeScript
- LLM APIs and agentic frameworks (OpenAI, Anthropic, or open-weight models)
- AI coding tools (Claude Code, Cursor) with autonomous agent deployment
- BMS/EPMS and control protocols (BACnet, Modbus)
- Systems thinking and end-to-end product ownership
- Stakeholder engagement with domain experts and field teams
- Test automation and QA methodologies
Benefits
- Competitive salary $150,000–$275,000 (based on experience and location)
- Work on civilization-scale AI infrastructure challenges
- Embedded collaboration with commissioning engineers and domain experts
- Autonomy to identify and ship solutions independently
- High-impact role multiplying team output through automation
Likely interview questions
- Tell us about a time you shipped production code without waiting for approval—what problem did you identify and how did you drive it end-to-end?
- Describe your experience building and deploying systems with LLM APIs or agentic frameworks. How did you ensure they worked reliably for real users?
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