Fluidstack Labs Lead

About Us

We exist to make humanity more free. Technology has historically given people more time for the things they want to do, instead of things they have 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. 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.

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.

About the Role

Lead Fluidstack Labs: the team qualifying next-generation compute, network, and rack hardware ahead of fleet deployment.

• Own the qualification roadmap: what gets tested, to what bar, on what timeline, synced with sourcing and deployment plans.
• Run the lab as an operation: environments, equipment, and throughput that keep pace with vendor roadmaps.
• Make the calls: what the fleet standardizes on, backed by your team's data.

Requirements

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 led hardware qualification, systems engineering, or lab teams for compute or infrastructure.
• You've owned deploy-or-not decisions with real money behind them.
• You've stood up lab environments and the process discipline to run them.
• You engage vendors as a peer: roadmaps, escalations, and early access.
• You publish results the whole company can act on.

• Bonus: GPU and accelerator systems. NPI processes. Failure analysis programs. Hyperscale hardware.

Pay

Compensation Range: $275K - $327K