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Fluidstack
New York, NY, United States; San Francsisco, California, US; 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
nine engineers today, twenty-two at full strength, automating everything between signed land and live compute: the portfolio schedule, on-site progress, change orders, design ingestion, commissioning, and the customer's delivered-against-committed view, across dozens of concurrent sites.
you set the technical direction, sequence the work with the function's Product Manager, and hold the bar on what ships, and you still write and ship code every week, because a lead who stops shipping stops knowing what the field needs.
Hire and grow the team to twenty-two without diluting the bar:
thirteen open seats, most of them on the company's critical path for signed compute, filled with engineers who work forward-deployed on live sites and ship systems the field adopts inside its own deadlines.
Make the architecture calls that keep one system from becoming five:
schedule, site progress, change orders, design and bill of materials, and commissioning all read and write one graph, and you own the boundaries, the data model, and the review practice that keep a need-by date computed once and trusted everywhere.
your engineers sit beside deployment engineers, project controls leads, general contractors, and commissioning agents, and you make sure what they build survives contact with a live energization, not just a demo.
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