Principal Operations Engineer, Reliability — Data Center Operations

About this role

# 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.

# The Data Center Operations Team

Examples of key problems the team is working on

• **Operate at the scale of a nation, not a building.** Accelerating toward 100 GW by the end of the decade, roughly the entire electricity consumption of Japan. You won't just run a data center; you'll run infrastructure the size of a G7.
• **Fly the plane while it's being built.** Running flawless operations inside a live construction zone, adapting in real time and turning the pace of build-out into our advantage. You will redefin...