Data Center Infrastructure Architect

United States · California · San Francisco, CA · Texas · Washington · Austin, TX · Remote · New York, NY · Seattle, WA$200k–$300kPosted Aug 6, 2025
Data Center Infrastructure Architect LocationAustin, TX; New York, NY; San Francisco, CA; Seattle, WAEmployment TypeFull timeLocation TypeHybridDepartmentDevelopmentCompensation$220K – $262KTo provide greater transparency to candidates, we share base pay ranges for all US-based job postings. Our compensation package includes base salary, equity for all full time roles, benefits, and, for applicable roles, commissions plans.This range reflects a good-faith estimate based on the applicable pay scale, the range previously established for this role, the compensation of individuals currently in equivalent positions, and/or the budgeted amount for the position. Actual compensation may vary based on experience, qualifications, and other factors.We welcome compensation discussions if this range doesn't meet your requirements. Outstanding candidates may be eligible for adjusted terms, plus meaningful equity that ensures you benefit directly from the company's long-term performance.Total compensation may also include equity in the form of restricted stock units. About FluidstackWe 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 OperateExtreme 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.The Infrastructure TeamExamples of key problems the team is working onDesign the physical layer AGI is trained on. ISP/OSP cable plants carry hundreds of thousands of fiber terminations per building, rail-optimized for the densest GPU fabrics ever built, at 800G today and 1.6T next.One design, every site. Turn the cable plant from a bespoke months-long exercise into a stamped reference architecture deployed across 10s to 100s of GWs of capacity, validated once and built everywhere.Design for silicon that doesn't exist yet. Every GPU generation rewrites the density, optics, and pathway math, but the plant you spec must survive three of them.Role ScopeOwn the end-to-end physical implementation of the data center network: fiber plant architecture, transceiver planning, and structured cabling integration for hyperscale sites.Collaborate with CSA, MEP, and construction teams on power, cooling, space, pathways, cabinets, and racks, and develop, read, and interpret construction drawings in Bluebeam, ACC, and Procore.Break down DCN logical port maps (TOR, spine, super-spine, DCI) into physical cross-connect and patching schedules, and automate port-to-fiber mapping at 100K+ ports per site.Define cassette types (MTP/MPO Base-8/12/16), trunk counts, and structured cabling hierarchy, and model fiber utilization and overbuild for two to three hardware generations.Select optics (400G/800G DR4, FR4, LR4, SR8, coherent DCI) by reach and loss budget, validate interoperability across vendors and...

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