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!
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
Turn 50GW+ of design into 50GW+ of built, running infrastructure. The Design team sets the blueprint. This team is where it survives contact with a live construction schedule and becomes a real site.
Close the gap between engineering-complete and operations-ready. A design that passes review still has to survive commissioning, integration, and energization, and that gap is where deployment work lives.
Make the tenth site faster and cleaner than the first. Every deployment feeds field learnings back into the standards, so a one-off fight at one site becomes a repeatable playbook at the next.
Hand off infrastructure that's reliable from the moment it goes live. AI compute workloads don't tolerate a shaky handover, so what this team commissions has to run right the day operations takes over.
Deploy and commission BMS, SCADA, and EPMS systems at data center sites, running FAT, field integration, loop checks, sequence verification, and acceptance testing through to live handover.
Support operational reliability of deployed control systems, responding to alerts and failures on live infrastructure and implementing fixes that prevent recurrence.
Resolve field integration issues between control system layers and connected mechanical and electrical systems during commissioning, escalating with a clear problem description and proposed fix.
Configure and verify control sequences, alarm setpoints, and data historian integrations against operational requirements.
Contribute to commissioning checklists, acceptance test procedures, and runbooks that speed up and standardize future deployments.
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 hold a bachelor's degree in Electrical, Mechanical, or Chemical Engineering, or a related field.
You've deployed and commissioned control systems on industrial or mission-critical facilities with hands-on accountability for live system startup and acceptance.
You've programmed and configured PLCs, SCADA, or HMI systems on at least one major platform (Rockwell, Siemens, Ignition, or equivalent).
You've troubleshot control system integration failures and loop errors independently during active commissioning.
You can travel to deployment and operations sites up to 50 percent of the time.
Bonus: Data center BMS/EPMS experience across chilled water, HVAC, power monitoring, and environmental monitoring systems. Proficiency in ladder logic, function block, or structured text programming. Familiarity with alarm management standards and control system reliability practices. Experience with remote monitoring platforms, data historians, or DCIM systems.
Compensation $200,000 - $250,000 per year, depending on experience, skills, qualifications, and location. Offers equity in the form of stock options.
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 careers@fluidstack.io 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.
Fluidstack accelerates the world’s most ambitious AI projects by removing the bottlenecks to compute. Partnering with leading AI labs, governments, and enterprises, we deploy scaled infrastructure at speed to unlock a future of abundant intelligence.
