Principal Operations Engineer, Reliability

Fluidstack; United States; On-site; USD 220,000 - 260,000; Full time

Job summary

Fluidstack is seeking a Senior Reliability Engineer to own the fleet reliability program for its data-center fleet in the United States. You will set availability targets and measure them to close gaps across multiple sites, ensuring high uptime and safe, scalable operations.

You will analyze incidents using Weibull, Pareto, and FMEA, drive corrective actions across teams, and shape the maintenance strategy with CMMS analytics and reliability-centered approaches to minimize future failures.

Qualifications

• Experience in reliability engineering for critical infrastructure.
• Strong root cause analysis skills and data-driven decision making.
• Experience with Weibull, Pareto, and FMEA methods.
• Ability to drive cross-team corrective actions.

Responsibilities

• Own fleet reliability engineering: define availability targets, measure them honestly, and close the gap.
• Run root cause analysis on the fleet's worst incidents and drive corrective actions to done across every site.
• Build the failure data pipeline, facility and hardware both, that turns incident history into engineering priorities.
• Set the maintenance strategy (reliability-centered, condition-based) so the fleet spends effort where the failure data says to.

Skills

Reliability engineering

Root cause analysis

Weibull analysis

Pareto analysis

FMEA

Cross-team coordination

Maintenance planning

Tools

CMMS

Job description

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.

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. The fleet you run will draw more power than some countries, on the way to 10s to 100s of GWs.
• Fly the plane while it's being built. Sites come online in pieces, and you keep the live ones running flawlessly while construction continues around them.
• Write the playbook, don't inherit it. No prior operations org has run at this speed and scale, so the standards you set become the standard.

Role Scope

• Own fleet reliability engineering: define availability targets, measure them honestly, and close the gap.
• Run root cause analysis on the fleet's worst incidents and drive corrective actions to done across every site.
• Build the failure data pipeline, facility and hardware both, that turns incident history into engineering priorities.
• Set the maintenance strategy (reliability-centered, condition-based) so the fleet spends effort where the failure data says to.

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 owned reliability for critical infrastructure and moved the availability number, not just reported it.
• You've led root cause analyses that found the real cause, not the convenient one.
• You work fluently with failure data: Weibull, Pareto, and FMEA are tools you actually use, not terms you know.
• You get corrective actions closed across teams you don't manage.
• Bonus: Data center or power generation reliability. Liquid cooling systems. CMMS analytics. CRE or CMRP certification.

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.

Compensation Range: $220K - $260K