FluidStack
FluidStack

Data Center Capacity Analyst

$180,000 – $250,000 per year

TLDR

Model greyspace capacity across sites and build source-of-truth views to resolve capacity constraints before power runs out.

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

  • Model greyspace capacity across sites: the electrical, mechanical, and support space budgets behind every megawatt of whitespace.

  • Track allocation against design as builds evolve, catching where greyspace runs out before power does.

  • Build the source-of-truth views that design, delivery, and operations use to answer whether it fits.

  • Analyze trade-offs when programs compete for the same square footage or capacity headroom.

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 done capacity or space planning for data centers, industrial plants, or utilities.

  • You're comfortable in drawings and single-lines as well as spreadsheets.

  • You've built capacity models that caught a real constraint early.

  • You keep a source of truth current across many concurrent changes.

  • You present a constraint with options attached.

  • Bonus: DCIM tools. Electrical and mechanical fundamentals. SQL and BI tooling. Multi-site portfolios.

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 careers@fluidstack.io 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.

FluidStack builds the infrastructure for abundant intelligence, partnering with leading AI labs, governments, and enterprises to provide high-speed compute capabilities. By focusing on unlocking compute at the speed of light, we aim to propel innovations in artificial general intelligence and enhance computational power across industries.

Founded
Founded 2017
Employees
51-200 employees
Industry
internet
Funding stage
Series A
Total raised
$1.1B raised
Last funding
Raised January 2026
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