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FluidStack

Builds and runs GPU clusters for AI labs

Controls Engineer - Energy Management

Controls & Automation EngineeringConfirmed live in the last 24 hours
Full-time$200k - $250k /yrHybrid

About the Job

Requirements

  • Experience with machine-to-machine and system-to-system protocols, including MQTT, OPC UA, and REST APIs, and the ability to select an appropriate protocol for a use case.
  • Ability to write and read code in at least one language to prototype integrations, test point maps against live devices, and review software; Python or Go is preferred.
  • Ability to read one-line diagrams and panel schedules and assess how protection, breakers, and sources behave under a fault.
  • Experience designing and enforcing a data contract between two systems, including objects, fields, units, update rates, and stale-value handling.
  • Experience writing a control narrative for a system involving two controllers and owning behavior when they disagree.
  • Experience translating control requirements between electrical engineers and software teams, and evaluating whether software designs will work in the field.
  • Ability to challenge vendor scope or company assumptions using quantitative evidence.

Responsibilities

  • Own the control and data contract between the facility energy controller and third-party power plant controllers, defining objects, fields, units, update rates, and staleness behavior in each direction.
  • Define the controller's sequences of operation, including normal operation, generation shortfall, source transitions, blackstart, and emergency shed, together with degradation behavior.
  • Specify point maps, interlocks, and constraint classes for vendors and enforce them through factory and site acceptance.
  • Translate electrical and generation constraints into software requirements, and communicate software and data constraints in terms acceptable to plant vendors and the engineer of record.
  • Prove the interface in simulation before energization across every constraint class and mode transition, then carry the work into automated commissioning.

Desired Qualifications

  • Experience with microgrid and behind-the-meter control, including grid-forming battery energy storage systems, photovoltaic plant controllers, and turbine and genset dispatch.
  • Experience with utility and industrial protocols, including DNP3, IEC 61850 GOOSE, IEC 60870-5-104, and Modbus TCP.
  • Experience with schema-driven contracts, including OpenAPI and JSON Schema.
  • Experience with automated Level 4 and Level 5 commissioning.
  • Python or Go programming experience.

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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