F
New York, NY, United States· Full-time
$224K – $300K/yr
TypeScriptPythonKubernetesAI
F
Role overview
Job description
About Fluidstack 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 car
…About this listing
- Source: Fluidstack's official careers site (via Ashby) · last confirmed on the source 29 Oct 2026
- Posted 2 Oct 2026
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What they are looking for
Skills & requirements
Qualification
Ship hardware qualification as software: burn-in, performance baselining, and new hardware validation composed into rack-level workflows, so bringing thousands of accelerators online is a repeatable run and every machine enters production with its acceptance evidence attached in the graph; You've built real features on LLM APIs (OpenAI, Anthropic, or open-weight models), MCP servers, and agentic frameworks; Hardware qualification or burn-in frameworks; 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
Department · Acceleration
Hiring company
Fluidstack
Transportation & Logistics
We build compute faster than anyone on the planet. Gigawatt data centers, built in America, delivered in months. We're hiring the people who build them.
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