Controls Engineer, Demand Management

Fluidstack; New York (NY); Hybrid; USD 140,000 - 200,000; Full time

Job summary

Fluidstack in New York seeks a hands-on engineer to design and optimize demand management controls for AI-scale compute. You will model load responses, coordinate IT load, cooling, and behind-the-meter generation, and validate strategies in simulation before deploying them across the fleet.

You should have experience with energy systems, know what not to automate, and thrive in a fast-paced, mission-driven team building scalable data-center power solutions for the frontier of AI.

Qualifications

• Experience engineering energy-control systems for large-scale infrastructure.
• Ability to model load responses and optimize resource allocation.
• Familiarity with validating strategies in simulation before field deployment.

Responsibilities

• Design and test demand management controls for large-scale compute.
• Coordinate IT load, cooling, and behind-the-meter generation.
• Integrate with utility or market signals and verify results in simulation.
• Deploy validated strategies across a fleet of data centers.

Skills

Energy systems

Demand response

Microgrids

Control logic

Simulation

Data center power

Job description

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.

How We Operate

• Be a barrel. Full autonomy. Own things end to end, take on scope without being asked, no permission required to operate outside your core role.

• Insane urgency. We drive everything forward as fast as possible.

• Reason from 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.

• Build something that actually matters. If you're going to spend your time, spend it on something that matters to the world.

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

• 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.