Mechanical Engineer, Deployment Engineering

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 10s to 100s of GWs of design into 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 cooling and mechanical systems at data center sites, running equipment startup, functional testing, performance verification, and acceptance testing through to live handover.

• Support operational reliability of deployed cooling infrastructure, responding to thermal events and equipment failures on live sites and implementing fixes that prevent recurrence.

• Resolve field conflicts between installation conditions and mechanical system requirements during commissioning, keeping deployments on schedule.

• Monitor and validate thermal performance of cooling systems under live AI compute load, flagging degradation and driving corrective action before it affects availability.

• Contribute to mechanical commissioning checklists, startup procedures, and maintenance run books that improve consistency across 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 Mechanical Engineering or a related field.

• You've supported or led mechanical commissioning on data centers or high-density facilities, with hands-on accountability through equipment startup and live acceptance.

• You can identify installation errors, diagnose performance shortfalls, and support corrective action on chilled water, CDU, or direct liquid cooling systems at the operational level.

• You've worked effectively alongside contractors and commissioning agents on active sites while holding the line on quality.

• You can travel to deployment and operations sites up to 50 percent of the time.

• Bonus: Professional Engineer (PE) license, or active pursuit of licensure. Direct liquid cooling or CDU commissioning and operational experience at AI-class rack densities. Familiarity with thermal monitoring systems, CMMS platforms, and predictive maintenance practices. Proficiency in CFD tools used for operational troubleshooting and thermal validation.

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 [email protected] 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.