Fluidstack · Infrastructure · Unspecified · Posted 2026-09-10
Controls Engineer, Thermofluids
Fluidstack · Austin, TX; New York, NY; San Francisco, CA; Los Angeles; CA; Seattle, WA · $210k–260k base
This range's midpoint is above 60% of posted infrastructure ranges at AI companies right now. See the salary index.
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ABOUT FLUIDSTACK
We exist to make humanity more free. For most of human history, you farmed or you starved. Technology gave people more time for the things they wanted to do, instead of things they had to do. Powerful AI will be the biggest lever for human choice we've ever built - but only if models are aligned with what humanity actually wants. There are groups building AI who don't share these goals. Whoever deploys frontier compute infrastructure fastest will decide whether AI expands human freedom or shrinks it.
We're singularly focused on delivering 10 to 100s of GWs of compute faster than anyone else, rethinking every layer of the stack. We acquire power, design and build data centers, and operate them - with teams spanning hardware and software. Speed and scale are our key differentiators. Come be a part of building civilization-scale infrastructure for AI.
We hire people who care deeply about this problem space. If that is you, please apply!
HOW WE OPERATE
- Be a barrel. Full autonomy. Own things end to end, take on scope without being asked, no permission required to operate outside your core role.
- Insane urgency. We drive everything forward as fast as possible.
- Reason from first principles. Challenge every assumption. Zero analogy thinking, no egos, the best idea wins.
- Love of the game. The frontier of AI is the most interesting problem of our time. We put in long hours at high intensity to push the frontier forward.
- Build something that actually matters. If you're going to spend your time, spend it on something that matters to the world.
THE THERMOFLUIDS R&D TEAM
Examples of key problems the team is working on
- Reject 10s of GW of heat, starting now. Fluidstack is targeting 10s of GW of compute over the next two years. Every watt of it becomes heat that has to go somewhere, and no cooling team has ever been asked to open at that scale rather than grow into it.
- Design and build the machines, because nobody can supply them. The merchant compressor market cannot deliver at this rate, and the vendor base behind today’s chillers will not scale to gigawatts. We are taking compressor and chiller design in house, working on machine architectures nobody sells today, and going from blank sheet to production faster than this industry thinks is possible.
- Own every thermofluids problem behind the fleet, not just the chiller. Working fluid and cycle architecture, heat exchangers at a scale that dominates the cost of the plant, two-phase heat transfer at the chip, and thermal energy storage. All of it is open, and whatever this team lands gets built thousands of times.
ROLE SCOPE
- Own the control architecture for the machine and the test rigs, spanning the compressor, the motor drive, the expansion turbine and the loop around them.
- Write the safety interlocks and fault handling for a machine whose working fluid can cross its critical point inside the normal operating range, taking the control problem with it.
- Deliver capacity control through motor and turbine speed rather than throttling valves, keeping the process fluid path free of valves at the design point.
- Validate the control system against hardware-in-the-loop before it ever touches the real machine, and prove the interlocks fire.
- Carry the controls out of the test cell and into the production chiller, including integration with site BMS and the wider plant.
WHAT WE'RE LOOKING FOR
The below is a starting point. We always make space for exceptional people, so if you don't fit this role exactly, tell us where you would https://jobs.ashbyhq.com/fluidstack/05c2e69c-42f9-4fcb-9cf0-a467aaf98f1c.
- You’ve written control logic for rotating machinery and you were in the room the first time it ran.
- You’ve designed interlocks where a fault means destroyed hardware or an injured person, and you can justify every one of them from first principles.
- You’ve run hardware-in-the-loop testing that caught something real befo …
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