Compute Engineer, Deployment

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 weve ever built - but only if models are aligned with what humanity actually wants. There are groups building AI who dont share these goals. Whoever deploys frontier compute infrastructure fastest will decide whether AI expands human freedom or shrinks it.

Were 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!

• Extreme 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.

Examples of key problems the team is working on

• Bring gigawatts of accelerators from first power-on to production. Facility availability to ready-for-service across thousands of racks per site with a new data hall landing every few weeks.

• Make rack qualification faster than the fleet grows. Firmware baselines burn-in and cluster validation proven on every rack before a customer workload touches it at a pace that never becomes the critical path.

• Scale by tooling not headcount. Deployed megawatts grow severalfold next year while the team stays near-flat because anything done twice by hand becomes software.

• Own compute turn-up from facility availability to ready-for-service: the stretch after the network hands off and before customers run workloads.

• Qualify racks at scale: establish firmware baselines configure BMC and BIOS run burn-in and validate at node and cluster level across hundreds of racks per site on GPU and custom accelerator platforms.

• Drive qualification through the base-management Kubernetes platform and provisioning stack (discovery imaging firmware updates shared services) burning down qual queues with tooling rather than manual runs.

• Triage hardware failures found in qualification: isolate to component drive RMA and vendor escalation and feed failure patterns back into the qual gates.

• Run turn-up remotely by default with on-site pulses of roughly a week per data hall as new halls reach facility availability plus occasional overlapping-site weeks.

• Partner with network deployment ICT data center operations and hardware teams during turn-up windows and support incident response on freshly-live capacity.

• Ability to travel 20-30% of the time to our Data Centers and Labs as needed.

The below is a starting point. We always make space for exceptional people so if you dont fit this role exactly tell us where you would.

• Youve brought up server or GPU fleets at scale hundreds of nodes or more and taken them all the way to production.

• You work deep in Linux and out-of-band management: BMC IPMI and Redfish are daily tools for you not occasional lookups.

• Youve automated hardware workflows in Python or Go rather than clicking through them and the second time you do anything by hand you turn it into software.

• Youve worked physically in data halls racking cabling and swapping components and youre just as effective acting as remote hands or directing them.

• You triage failures methodically across hardware firmware and software isolating the fault to a component before reaching for a fix.

• You travel for turn-up windows when a new data hall comes online.

• Bonus: Kubernetes-based bare-metal provisioning. Accelerator platform bringup (NVIDIA AMD or custom). Burn-in and stress harness design. DCIM and inventory tooling.

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.

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 with your resume/CV the role youve applied for and the date you submitted your application-- someone from our recruiting team will be in touch.

Required Experience:

IC