FluidStack
Mechanical Commissioning Engineer, R&D
Austin, TX$197k–$227kfulltimemidAdded today
About this role
Fluidstack seeks a Mechanical Commissioning Engineer to validate and optimize cooling and thermal systems for AI data center infrastructure. You'll execute functional tests, analyze performance data against thermal models, and drive design improvements during factory and field commissioning phases.
What you'll do
- Commission mechanical systems including cooling plants, distribution networks, and heat rejection equipment to design specifications
- Develop, execute, and refine functional test scripts to identify gaps and improve reference packages
- Analyze trend data and test results to reconcile actual performance against thermal models
- Support factory acceptance testing (FAT) processes for mechanical modules before shipment
- Identify and escalate design errors discovered during commissioning to drive upstream fixes
- Document findings and maintain rigorous records of all commissioning activities
What they're looking for
- Mechanical or HVAC systems commissioning on data centers or industrial plants
- Functional testing and rigorous documentation practices
- Thermal data analysis and trend interpretation
- Liquid cooling systems (bonus)
- Test and balance interface expertise
- Commissioning software platforms
- First-principles problem solving
- Clean work practices in live environments
Opens the official application on the employer’s site. No login required.
FluidStack
FluidStack builds AI infrastructure at scale, developing data centers and warehouse operations designed to handle gigawatt-capacity compute deployment. The company is hiring for warehouse engineers, data center operations specialists, product engineers, and people leaders to support rapid infrastructure expansion across multiple sites.
- Website
- fluidstack.io
Likely interview questions
- Walk us through a time you commissioned a mechanical system and discovered a design flaw—how did you handle it?
- Describe your experience reading and interpreting trend data from HVAC or cooling systems. What story have you uncovered?