Compute Deployment Lead

Fluidstack

$130K — $180K *
Enterprise Technology
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • 5-7 years in compute or server deployment at a data center level.
  • Proven experience in building efficient bring-up processes.
  • Demonstrated ability to lead and manage mixed teams of engineers and technicians.
  • Strong emphasis on hardware quality with a history of refusing subpar components under pressure.
  • Bonus: Experience with GPU clusters and deployment automation.

Responsibilities

  • Lead the deployment process for compute across multiple sites.
  • Own and manage the compute deployment schedule for each data hall.
  • Develop automated workflows for scalable bring-up operations.
  • Ensure hardware validation meets high-performance standards before production handoff.
  • Transform empty data halls into operational GPU clusters within weeks.

Benefits

  • Full autonomy to take ownership of projects and tasks.
  • Fast-paced environment emphasizing rapid progress.
  • Encouragement of innovative thinking by challenging assumptions.
  • A passionate team dedicated to advancing AI technologies.
Full Job Description
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 Deployments Team

Examples of key problems the team is working on
  • Turn empty data halls into serving GPUs in weeks. Deployment owns everything between construction handover and customer-ready compute: racks, fabric, and validation at hundreds of megawatts per site.
  • Stand up gigawatts a year, hundreds of megawatts at a time. Data halls go from construction handover to serving GPUs in weeks, across multiple sites at once.
  • Deploy 10GW with software, not headcount. Bring-up, validation, and handoff run on tooling the team builds, so the hundredth data hall deploys faster than the first instead of needing a hundred times the people.

Role Scope
  • Lead compute deployment across sites: the team and process taking GPU nodes from dock to validated clusters.
  • Own the compute deployment schedule per hall: thousands of nodes racked, imaged, burned in, and validated in weeks.
  • Build the bring-up factory: automation and crew workflows that scale across parallel sites.
  • Hold the validation bar: no cluster hands to production without proving its performance.

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 compute or server deployment at data center scale.
  • You've built bring-up processes that cut deployment time by a large factor.
  • You've managed mixed teams of engineers and technicians.
  • You've refused to hand over hardware that didn't pass, under real pressure.
  • Bonus: GPU clusters. Deployment automation. HPC acceptance testing. Vendor integration programs.


We are committed to pay equity and transparency.

Similar Jobs

More Jobs at Fluidstack

More Enterprise Technology Jobs

Find similar Compute Deployment Lead jobs: