ICT Infrastructure Architect
FluidStack
ICT Infrastructure Architect
FluidStack
Builds and runs GPU clusters for AI labs
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!
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.
Examples of key problems the team is working on
Design 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.
Own 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 generations, and maintain loss-budget and margin models for every link type.
Own the ICT Basis of Design, SOPs, and Division 26/27/28/33 master specifications, and integrate with DCIM (NetBox, custom tools) to track strands, ports, and patching.
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 designed hyperscale or cloud-provider data center networks (1000+ racks, 100K+ fiber strands).
You're expert in structured cabling systems (Corning, Panduit, CommScope) and MPO/MTP ecosystems.
You know optical standards (IEEE 802.3, OIF) and transceiver technologies (400G/800G DR4, FR4, LR4, SR8) deeply.
You command fiber loss budgets, dispersion, and testing methodologies (OTDR, insertion loss, polarity verification).
You integrate designs into DCIM tools (NetBox, Remedy, or custom hyperscaler equivalents).
Bonus: RCDD certification. Coherent DCI. Multi-generation optics roadmapping.
Competitive total compensation package (salary + equity).
Retirement or pension plan, in line with local norms.
Health, dental, and vision insurance.
Generous PTO policy, in line with local norms.
Total compensation may also include equity in the form of restricted stock units.
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.
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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 [email protected] 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.
Builds and runs GPU clusters for AI labs
Fluidstack provides large clusters of GPU servers to AI labs training advanced models, and it builds custom data centers for customers that outgrow existing facilities. In 2025, Anthropic chose Fluidstack to build data centers in Texas and New York as part of a $50 billion investment in American AI infrastructure. Labs pay for dedicated clusters of Nvidia GPUs, sometimes tens of thousands of chips, housed in partner data centers around the world. They reach the clusters through a web console or API, while Fluidstack runs the hardware, networking, and day-to-day operations. Fluidstack was founded in London in 2017 and has its headquarters in New York.
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