Compute Deployment Engineer

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.

Requirements

• Brought up server or GPU fleets at scale, hundreds of nodes or more, and taken them all the way to production.
• Work deep in Linux and out-of-band management: BMC, IPMI, and Redfish.
• Automated hardware workflows in Python or Go rather than clicking through them; turn repeated tasks into software.
• Worked physically in data halls, racking, cabling, and swapping components; effective acting as remote hands or directing them.
• Triage failures methodically across hardware, firmware, and software, isolating the fault to a component.
• Travel for turn-up windows when a new data hall comes online.

Nice-to-Haves

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