Facilities Production Engineer, Power

Fluidstack; Seattle (WA); On-site; USD 134,000 - 173,000; Full time

Job summary

Fluidstack is hiring for a Data Center Operations role in the United States, Seattle area. You will help design and operate the software/analytics layer over the power chain, model site power capacity, and develop automatic detection for anomalies while speeding post-event analysis.

The team prioritizes fast, reliable infrastructure for AI compute at scale. You will write production code, work with EPMS and power-quality data, and contribute to operations on power systems with an emphasis on

Qualifications

• Experience working software-side on power systems such as EPMS, metering or power quality data.
• Ability to write production code and contribute to software/analytics.
• Understanding of electrical distribution to validate analytics.
• Bonus: time-series ML or data-center power domain knowledge.

Responsibilities

• Build the software and analytics layer over the power chain: from utility to decision points.
• Model power capacity and consumption per site to know real-time headroom.
• Build detection for power anomalies, imbalance, harmonics, drift to protect loads.
• Automate power event analysis so post-event review is quick.

Skills

Power systems software

EPMS data

Metering data

Power quality data

Production code

Electrical distribution

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.

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

• 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

• Build the software and analytics layer over the power chain: utility to busway, EPMS data into decisions.
• Model power capacity and consumption per site so operations knows its headroom in real time.
• Build detection for power anomalies, imbalance, harmonics, drift, before they trip loads.
• Automate power event analysis so post-event review takes minutes, not days.

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 worked software-side on power systems: EPMS, metering, or power quality data.
• You understand electrical distribution well enough to sanity-check your own analytics.
• You've built monitoring that caught a real event early, and it mattered.
• You write production code, not just notebooks.
• Bonus: Data center power chains. Power quality analytics. Time-series ML. Electrical engineering background.

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 [e-mail] 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.

Compensation Range: $134K - $173K