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FluidStack

Builds and runs GPU clusters for AI labs

Power Electronics Engineer

Power Systems EngineeringPosted on Nov 12
Full-time$210k - $270k /yrIn-person

About the Job

Requirements

  • Hands-on experience developing and validating high-power or medium-voltage power converters at the lab bench, beyond writing technical requirements.
  • Experience engineering isolated DC-DC converters using 1.7 kV or higher SiC devices and justifying efficiency calculations.
  • Experience guiding conversion systems from simulation models through hardware bring-up and full qualification testing.
  • Experience collaborating across PCB, controls, and magnetics domains to balance architectural trade-offs.
  • Experience identifying hardware bugs during bench evaluation and resolving them in subsequent board iterations.

Responsibilities

  • Design the solid-state transformer cell and block, including converter implementation, component selection, magnetics interface, and loss and thermal budgets for a 5 MW block on a medium-voltage DC bus.
  • Simulate, build, and bring up first cell prototypes with PCB, firmware, and test engineers, and debug them at full voltage and power.
  • Translate architecture decisions into a buildable design, including schematics, design calculations, and technical sections of the SST specification.
  • Test vendor hardware and data against internal models, and provide the program lead with technical evidence for make, co-develop, or buy decisions.
  • Carry the design through cell, block, and pilot-unit design reviews, closing open loss, thermal, and insulation items before the next build.

Desired Qualifications

  • Experience with solid-state transformer products.
  • Knowledge of resonant converter topologies, including DAB, LLC, and CLLC.
  • Circuit simulation experience.
  • Knowledge of SiC voltage derating.
  • Knowledge of power conversion safety standards.

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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