Compute Engineer, Deployment

Fluidstack is building large-scale compute infrastructure for artificial intelligence. The Compute Engineer, Deployment will bring up and qualify GPU and accelerator fleets, automate provisioning and validation workflows, triage hardware failures, and partner with infrastructure teams during data-center turn-up and incident response.

Responsibilities:

• 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 30-40% of the time to our Data Centers and Labs, as needed

Requirements:

• 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 bringup (NVIDIA, AMD, or custom). Burn-in and stress harness design. DCIM and inventory tooling