Mechanical Engineer, Demand Management

California · San Francisco, CA · Texas · Washington · Austin, TX · New York, NY · Seattle, WAPosted Jul 18, 2026
Mechanical Engineer, Demand Management LocationAustin, TX; New York, NY; San Francisco, CA; Seattle, WAEmployment TypeFull timeLocation TypeOn-siteDepartmentDevelopmentCompensation$203K – $232KTo provide greater transparency to candidates, we share base pay ranges for all US-based job postings. Our compensation package includes base salary, equity for all full time roles, benefits, and, for applicable roles, commissions plans.This range reflects a good-faith estimate based on the applicable pay scale, the range previously established for this role, the compensation of individuals currently in equivalent positions, and/or the budgeted amount for the position. Actual compensation may vary based on experience, qualifications, and other factors.We welcome compensation discussions if this range doesn't meet your requirements. Outstanding candidates may be eligible for adjusted terms, plus meaningful equity that ensures you benefit directly from the company's long-term performance.Total compensation may also include equity in the form of restricted stock units. About FluidstackWe 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 OperateExtreme 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 ScopeEngineer the mechanical side of demand flexibility: cooling systems that ride through load flex without thermal risk.Model thermal inertia and headroom: how far and how long the plant can flex, quantified per site.Design the mechanical strategies, setpoint moves, staging, and storage, that turn cooling into a grid asset.Validate in the field: instrumented tests proving the models before the fleet runs on them.What We're Looking ForThe 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 mechanical or HVAC systems for data centers or industrial plants.You've modeled thermal systems dynamically, not just at steady state.You've run field validation campaigns and reconciled model to measurement.You quantify risk in operating terms: degrees, minutes, and margins.You work jointly with controls engineers as one system team.Bonus: Liquid cooling. Dynamic simulation (Modelica, TRNSYS) or CFD. Thermal storage. Psychrometrics depth.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...

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