Facilities Production Engineer, Controls

Fluidstack; San Francisco (CA); On-site; USD 161,000 - 208,000; Full time

Job summary

Fluidstack in San Francisco seeks a software engineer to build and run the platform that controls data centers and OT networks. You will integrate BMS/EPMS, write robust alarm pipelines, and automate responses to plant conditions.

You will work with Python or Go, tackle OT data nasty streams, and implement integrations using BACnet, Modbus, and OPC-UA. Experience with Niagara/Ignition and time-series databases is a plus.

Qualifications

• Experience writing software against building or industrial controls: BACnet, Modbus, OPC-UA.
• Fluent in Python or Go, plus the messiness of OT data.
• Bonus: Data center BMS and EPMS. Ignition or Niagara. Time-series databases. Safety instrumented systems awareness.

Responsibilities

• Build and run the software layer over facility controls: BMS and EPMS integrations, alarm pipelines, and automated response.
• Write integrations against controls protocols so plant data lands in one queryable place.
• Build alarm rationalization and routing so operators see signal, not noise.
• Automate controlled responses to known plant conditions, safely, with rollback.

Skills

Python

Go

Industrial controls

BACnet

Modbus

OPC-UA

Tools

Niagara

Ignition

EPMS

Time-series databases

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.

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 and run the software layer over facility controls: BMS and EPMS integrations, alarm pipelines, and automated response.
• Write integrations against controls protocols so plant data lands in one queryable place.
• Build alarm rationalization and routing so operators see signal, not noise.
• Automate controlled responses to known plant conditions, safely, with rollback.

What We’re Looking For

• We just want to highlight that you’re exceptional—if you don’t fit this role exactly, tell us where you would.
• Experience writing software against building or industrial controls: BACnet, Modbus, OPC‑UA.
• Fixed an alarm flood problem with engineering, not with acknowledgment fatigue.
• Respect the blast radius of touching live plant and design accordingly.
• Fluent in Python or Go, plus the messiness of OT data.
• Bonus: Data center BMS and EPMS. Ignition or Niagara. Time‑series databases. Safety instrumented systems awareness.

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, 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: $161K - $208K