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Fluidstack
San Francsisco, California, US; New York, NY, United States; Austin, Texas, United States; Seattle, Washington, United States
Source: Fluidstack careers · View original posting
From Fluidstack's posting. “We” and “our” refer to the employer.
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
Be a barrel.
Full autonomy. Own things end to end, take on scope without being asked, no permission required to operate outside your core role.
Insane urgency.
We drive everything forward as fast as possible.
Reason from 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.
Build something that actually matters.
If you're going to spend your time, spend it on something that matters to the world.
The Decision Team
Examples of key problems the team is working on Automate the delivery of gigawatts.
Every process that takes AI infrastructure from land to live compute becomes software: schedules, decisions, and todos generated from a live knowledge graph instead of chased by hand.
Forward-deploy beside the experts.
Product teams sit with quality managers, sourcing leads, and deployment engineers on factory floors and sites, and turn their judgment into systems that reach every unit.
Deliver every supercomputer faster than the last.
Dozens of concurrent projects feed one graph, so every lesson learned at one site becomes a preventive check at all of them.
Role Scope
one template schedule per building type, instantiated per project, with every activity tied to the materials it consumes, so need-by dates for switchgear, transformers, and cooling fall out of the critical path instead of a spreadsheet, and a slip in permitting reprices the procurement calendar the same hour.
work packages, contractor field entries, rack placements, cable runs, and QA inspections land as records tied to the design revision they were built against, percent complete is computed from evidence rather than reported on a call, and the customer sees delivered against committed without anyone assembling a deck.
Ship change orders as a workflow, not an email chain:
scope, cost, and schedule impact drafted from the design delta, routed through legal, finance, and the general contractor with the approval trail attached, and the bill of materials and schedule updated the moment the order is signed.
ingest building information models straight into the bill of materials with a reviewable diff on every revision, generate submittal requirements per spec section, and keep sites, buildings, and data halls as one canonical record that every downstream system reads instead of copies.
test procedures generated per asset from the design revision across all five levels, results landing as evidence against the asset they tested, energization gates that check themselves, and handover that opens on proof instead of a signature.
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