Fluidstack

Fluidstack

Data Center Technician

Lubbock, TX

Sponsorship not specified$10k-$100kDetected 1 day ago
Computer Vision

About the 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.

Responsibilities

  • 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.
  • Operate at the scale of a nation, not a building. Accelerating toward 10s to 100s of GWs by the end of the decade, more than the entire electricity consumption of many countries. 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 redefine operational excellence.
  • Here you build one, leaving your fingerprints on how the whole company runs.
  • IT support, computer repair, or electronics experience.

Requirements

  • You can lift up to 50 pounds and work comfortably in a data center environment.

Nice to have

  • Technical certifications or coursework.
  • Basic networking knowledge (cable types and connections).
  • Ticketing and documentation tools.
  • Fluidstack is an Equal Employment Opportunity Employer.
  • 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.

Compensation

  • $10k-$100k

Benefits

  • We are committed to pay equity and transparency.

Company info

  • Maintain the physical infrastructure of Fluidstack's GPU supercomputers, keeping uptime high for AI customers.

This listing is sourced directly from Fluidstack's careers page and normalized into a canonical job model.