Lead Thermofluids Engineer for AI-Scale Data Centers

Fluidstack; New York (NY); On-site; USD 156,000 - 260,000; Full time

Job summary

Fluidstack is building civilization-scale AI infrastructure and seeks engineers who can develop and own thermodynamic cycle models, size large heat exchangers, and validate system performance against data. The role requires a hands-on approach, working on high-velocity projects with aggressive timelines.

You will contribute to piping and relief design, use real-fluid properties, and push the frontier of liquid cooling at scale for data centers and AI workloads.

Qualifications

• You have built a thermodynamic cycle model from fluid properties and defended its assumptions against challenge.
• You sized real heat exchangers against published correlations and caught geometry mismatches.
• You calibrated models against machine data and reported gaps honestly.

Responsibilities

• Define the machine to be built, owning the cycle model for fluids, pressures, and flows.
• Design heat exchangers with large surface areas and impact on footprint.
• Design the fluid system around the machine: piping, valves, headers, relief and isolation.
• Run trades to decide machine performance: air-side temperature rise and face velocity.
• Validate cycle predictions on test stands and reconcile with measured COP.

Skills

Thermodynamic cycle model

Heat exchanger design

Piping and relief design

Data-driven modeling

Tools

CoolProp

REFPROP

Job description

Fluidstack is building civilization-scale AI infrastructure and seeks engineers who can develop and own thermodynamic cycle models, size large heat exchangers, and validate system performance against data. The role requires a hands-on approach, working on high-velocity projects with aggressive timelines.

You will contribute to piping and relief design, use real-fluid properties, and push the frontier of liquid cooling at scale for data centers and AI workloads.