Controls Engineer, Demand Management

Posted 2 Days Ago
Be an Early Applicant
4 Locations
In-Office
197K-227K Annually
Mid level
Artificial Intelligence • Software
The Role
Design and implement demand management control logic that flexes large IT and facility loads against grid signals and prices, integrate with utility and market signals, validate strategies in simulation, and deploy settlement-grade, fleet-wide control strategies without impacting SLAs.
Summary Generated by Built In
About Fluidstack

We exist to make humanity more free. For most of human history, you farmed or you starved. Technology gave people more time for the things they wanted to do, instead of things they had to do. Powerful AI will be the biggest lever for human choice we've ever built - but only if models are aligned with what humanity actually wants. There are groups building AI who don't share these goals. Whoever deploys frontier compute infrastructure fastest will decide whether AI expands human freedom or shrinks it.

We're singularly focused on delivering 10 to 100s of GWs of compute faster than anyone else, rethinking every layer of the stack. We acquire power, design and build data centers, and operate them - with teams spanning hardware and software. Speed and scale are our key differentiators. Come be a part of building civilization-scale infrastructure for AI.


We hire people who care deeply about this problem space. If that is you, please apply!

How We Operate
  • Extreme ownership. Full autonomy. Own things end to end often taking on scope outside your core role without being asked to get things done.

  • Velocity. We drive everything forward as fast as possible.

  • First principles. Challenge every assumption. Zero analogy thinking, no egos, the best idea wins.

  • Love of the game. The frontier of AI is the most interesting problem of our time. We put in long hours at high intensity to push the frontier forward.

Role Scope
  • Engineer demand management controls: the logic that flexes gigawatts of 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: signals in, verified response out, settlement-grade data behind it.

  • Prove strategies in simulation, then deploy them across the fleet.

What We're Looking For
  • The below is a starting point. We always make space for exceptional people, so if you don't fit this role exactly, tell us where you would.

  • You've engineered controls for energy systems: demand response, microgrids, or industrial load management.

  • You've built control logic that acted on real load and kept its constraints.

  • You understand power systems enough to know what not to automate.

  • You've integrated with utility or market signals.

  • You validate in simulation before the field, every time.

  • Bonus: Data center power and cooling. BESS controls. ISO and RTO market mechanics. Optimization methods.

We are committed to pay equity and transparency.

Fluidstack is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans’ status, or any other characteristic protected by law. Fluidstack will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law.

You will receive a confirmation email once your application has successfully been accepted. If there is an error with your submission and you did not receive a confirmation email, please email [email protected] with your resume/CV, the role you've applied for, and the date you submitted your application-- someone from our recruiting team will be in touch.

Skills Required

  • Engineered controls for energy systems (demand response, microgrids, or industrial load management)
  • Built control logic that acted on real load while maintaining system constraints
  • Experience integrating with utility or market signals (ISO/RTO/market interfaces)
  • Validate control strategies in simulation prior to field deployment
  • Understanding of power systems and safe automation limits
  • Data center power and cooling experience
  • BESS controls experience
  • Familiarity with ISO and RTO market mechanics
  • Optimization methods
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The Company
HQ: London
30 Employees
Year Founded: 2017

What We Do

Instantly reserve dedicated clusters of NVIDIA H200s and GB200s for any scale to supercharge your training and inference workflows.

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