Controls Engineer, Demand Management

FluidStack
Austin, New York, San Francisco, Seattle
Workplace: OnsiteFull timeUSD 197,000 - 227,000 annuallyFunction: Software EngineeringSkills: ["Extreme ownership","Velocity","First principles","High-intensity focus"]

Build demand-management control logic that flexes gigawatts of load against grid signals and price. You’ll design control strategies coordinating IT load, cooling, and behind-the-meter generation, integrate with utility and market signals for settlement-grade responses, and prove strategies in simulation before deploying them across the fleet. Work alongside teams spanning hardware and software to deliver AI compute infrastructure at extreme speed and scale.

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FluidStack
FluidStack
1 month ago

Controls Engineer, Demand Management

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Last checked: 1 hour agoStatus: Live

Job Summary

Build demand-management control logic that flexes gigawatts of load against grid signals and price. You’ll design control strategies coordinating IT load, cooling, and behind-the-meter generation, integrate with utility and market signals for settlement-grade responses, and prove strategies in simulation before deploying them across the fleet. Work alongside teams spanning hardware and software to deliver AI compute infrastructure at extreme speed and scale.
Location: Austin, New York, San Francisco, Seattle
Workplace: Onsite
Employment Type: Full time
Job Function: Software Engineering

Key Responsibilities

  • •Engineer demand management controls that flex load against grid signals and price.
  • •Build control strategies coordinating IT load, cooling, and behind-the-meter generation without touching an SLA.
  • •Integrate with markets and utilities so signals-in produce verified, settlement-grade responses.
  • •Prove strategies in simulation before deployment.
  • •Deploy validated strategies across the fleet of data centers.

Pay and Benefits

Salary: USD 197,000 - 227,000 annually

Key Requirements

  • •Engineered controls for energy systems such as demand response, microgrids, or industrial load management.
  • •Built control logic that acted on real load while keeping constraints.
  • •Understands power systems well enough to know what not to automate.
  • •Integrated with utility or market signals.
  • •Validates control strategies in simulation before deploying them in the field.
Experience:Energy systemsDemand responseMicrogridsPower systemsUtility/market integration
Skills:Extreme ownershipVelocityFirst principlesHigh-intensity focus

Company Brief

FluidStack
Builds and deploys large-scale GPU cloud infrastructure for AI labs, enterprises and governments, providing high-performance AI training and inference capacity and rapid data-center deployment services.
Industry: Cloud Computing
Company Size: Medium (51 to 250 employees)
Growth: Growth Stage Startup
Funding: Series A
Headquarters: New York, United States
Founded: 2017
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Glassdoor: 4.7
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