Reliability Engineer, Data Center Design
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
Lead the design, development, and execution of 50GW+ of data centers this decade.
Drive the next generation of liquid cooling and electrical distribution systems.
Develop and scale first-of-a-kind modular data centers.
Influence behind-the-meter designs and planning for multi-GW campuses.
Build and maintain reliability block diagrams and fault tree analyses across the full MEP service chain, from utility intake to rack-level IT load, running Monte Carlo simulations of at least 100,000 iterations to produce P50/P90/P95/P99 availability distributions.
Own the reliability study at each 30% and 90% design gate for Fluidstack's own templates, and run independent reliability assessments of EPC-proposed, colocation, and acquired-site designs benchmarked against Uptime Institute Tier III/IV classifications.
Manage third-party reliability consultants and review their RBD, FTA, and Monte Carlo work for methodology soundness, turning identified single points of failure into prioritized design recommendations before capital is committed.
Maintain the reliability model, component data, and full audit trail inside Windchill PLM, and produce availability statements, sensitivity analyses, and FMEA summaries for lease documents, SLAs, and investor materials.
Feed live-site failure and repair data from Operations and Commissioning back into the models, track modeled availability against measured uptime across the portfolio, and translate the components driving unavailability into maintenance, sparing, and capital allocation recommendations such as N+1 versus 2N.
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 personally built reliability block diagrams and fault tree analyses for mission-critical electrical and mechanical systems, not modeled them in the abstract.
You've run Monte Carlo simulations for system availability using PTC Windchill Prediction, ReliaSoft, or equivalent tools, and you know IEEE 493 (Gold Book) and IEEE 3006.5 well enough to defend your failure-rate and repair-time assumptions.
You've managed reliability models, component data, and version control inside PTC Windchill as the system of record, not a spreadsheet on the side.
You understand data center MEP systems well enough to model them accurately: MV/LV electrical distribution, standby generation, UPS, chilled water plants, CDUs, and building management/controls systems.
You default to quantifying risk instead of describing it. You'd rather hand someone a P90 availability number than tell them a system should be reliable.
You translate technical reliability findings into figures a lease document, SLA, or investor deck can actually use, without losing what the number means.
Bonus: PE license. Direct experience benchmarking designs against Uptime Institute Tier III/IV classifications. Liquid or hybrid cooling reliability modeling. Managing outside reliability consultants or engineering firms on a deliverable basis.
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.