Fluidstack Labs Lead

Reposted 22 Days Ago
Be an Early Applicant
2 Locations
In-Office or Remote
200K-275K Annually
Senior level
Artificial Intelligence • Software
The Role
Lead the Fluidstack Labs team to qualify next-generation compute, network, and rack hardware. Own the qualification roadmap, run lab operations and throughput, make fleet standardization decisions, engage vendors, and publish actionable results aligned with sourcing and deployment timelines.
Summary Generated by Built In
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
  • 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
  • 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.

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 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.

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 [email protected] 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.

Skills Required

  • Led hardware qualification, systems engineering, or lab teams for compute or infrastructure
  • Owned deploy-or-not decisions with real financial impact
  • Established lab environments and process discipline to operate them
  • Engaged vendors as a peer on roadmaps, escalations, and early access
  • Published results company-wide that inform decisions
  • Experience with GPU and accelerator systems
  • Experience with NPI processes and failure analysis programs
  • Experience with hyperscale hardware
Am I A Good Fit?
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The Company
HQ: London
30 Employees
Year Founded: 2017

What We Do

Instantly reserve dedicated clusters of NVIDIA H200s and GB200s for any scale to supercharge your training and inference workflows.

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