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FluidStack

Builds and runs GPU clusters for AI labs

Mechanical Engineer - Thermofluids

Thermal & Fluids EngineeringConfirmed live in the last 24 hours
Full-time$210k - $260k /yr

About the Job

Requirements

  • 10+ years of experience in thermofluids engineering, including thermodynamic cycle modeling, heat exchanger design, and high-pressure fluid system design.
  • Experience building a thermodynamic cycle model from fluid properties and defending its assumptions under scrutiny.
  • Experience sizing real heat exchangers against published correlations and identifying when a correlation does not apply to the geometry being used.
  • Experience calibrating a model against machine datasheets or test data and reporting the gap without tuning it away.
  • Experience writing analysis that informs design decisions in a form that non-coders can understand and act on.
  • Experience sizing a relief path and signing off that the system is protected.
  • Ability to leave a result open when it remains unresolved rather than closing it prematurely.
  • Comfort with regular travel; expect 25% or more, depending on business needs.

Responsibilities

  • Define machine requirements and own the cycle model that sets the working fluid, pressures, temperatures, and flows used to design the compressor, turbine, and heat exchangers.
  • Design heat exchangers with surface areas reaching millions of square meters.
  • Design the machine's fluid system, including piping, valves, headers, relief, and isolation, sized to the cycle's pressure-drop budget and operating fluid pressures.
  • Run design trades involving air-side temperature rise, face velocity, and subcooling; derive operating points from coupled exchanger ratings to identify infeasible designs in the model before hardware development.
  • Validate cycle predictions on the test stand against measured coefficient of performance (COP) and identify where the model was inaccurate.

Desired Qualifications

  • Experience with vapor-compression and transcritical cycles, including chillers, heat pumps, or refrigeration.
  • Experience with propulsion and cryogenic fluid systems, including feed systems, regenerative cooling, or two-phase transport.
  • Experience with piping and relief design for high-pressure fluid systems.
  • Experience with real-gas properties and two-phase heat-transfer correlations, including CoolProp, REFPROP, Cavallini, Gnielinski, or Wang.
  • Experience with data center thermal architecture, including coolant distribution units (CDUs), dry coolers, or direct-to-chip systems.

About the Company

FluidStack

Builds and runs GPU clusters for AI labs

Fluidstack provides large clusters of GPU servers to AI labs training advanced models, and it builds custom data centers for customers that outgrow existing facilities. In 2025, Anthropic chose Fluidstack to build data centers in Texas and New York as part of a $50 billion investment in American AI infrastructure. Labs pay for dedicated clusters of Nvidia GPUs, sometimes tens of thousands of chips, housed in partner data centers around the world. They reach the clusters through a web console or API, while Fluidstack runs the hardware, networking, and day-to-day operations. Fluidstack was founded in London in 2017 and has its headquarters in New York.

Company size
501-1,000
Company stage
Late Stage VC
Total funding
$12.4B
Headquarters
New York City, New York
Founded
2017

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