Compute Engineer, Deployment

Fluidstack; San Francisco (CA); On-site; USD 150,000 - 250,000; Full time

Job summary

Fluidstack is seeking a Senior Infrastructure/Turn‑up Engineer to bring hundreds of nodes per data hall from ready‑for‑service to production. You will work in Linux, handle BMC/IPMI/Redfish routines, and automate hardware workflows using Python or Go.

Responsibilities include rack qualification, firmware baselines, and close collaboration with networks and DC ops in a fast‑paced environment. You will travel for turn‑up windows, support remote deployments, and contribute to Kubernetes‑based

Qualifications

• Experience bringing server or GPU fleets to production at scale.
• Deep Linux expertise and out‑of‑band management (BMC/IPMI/Redfish) daily use.
• Automating hardware workflows in Python or Go rather than manual processes.

Responsibilities

• Own turn‑up of compute from facility readiness to production, across data halls.
• Qualify racks at scale: set firmware baselines, configure BMC/IPMI/BIOS, burn‑in, validate at node and cluster level.
• Drive base‑management provisioning (discovery, imaging, firmware updates) with tooling over manual runs.
• Triage hardware failures across hardware/firmware/software to isolate faulty components.
• Coordinate remote turn‑ups with on‑site pulses during data hall readiness windows.
• Partner with networks, ICT, DC ops and hardware teams during turn‑up windows and incident response.

Skills

Linux

BMC/IPMI/Redfish

Automation with Python/Go

Data center hardware

Kubernetes bare‑metal provisioning

Tools

Python

Go

Kubernetes

BMC

IPMI

Redfish

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 are 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.

How We Operate

• 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.

The Infrastructure Team

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.

Role Scope

• 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.

What We're Looking For

• You've 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.
• You've 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.
• You've worked physically in data halls, racking, cabling, and swapping components, and you're 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 bring‑up (NVIDIA, AMD, or custom). Burn‑in and stress harness design. DCIM and inventory tooling.

Compensation Range: $150K - $250K

Equal Employment Opportunity

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.