Compute Deployment Engineer

About the role

The Infrastructure Team at Fluidstack is responsible for bringing gigawatts of accelerators from first power-on to production, qualifying racks at scale, driving qualification through the base-management Kubernetes platform and provisioning stack, and triaging hardware failures. They also partner with network deployment, ICT, data center operations, and hardware teams during turn-up windows, and support incident response on freshly-live capacity.

Responsibilities

• Own compute turn-up from facility availability to ready-for-service
• Qualify racks at scale: establish firmware baselines, configure BMC and BIOS, run burn-in, and validate at node and cluster level
• Drive qualification through the base-management Kubernetes platform and provisioning stack (discovery, imaging, firmware updates, shared services)
• Triage hardware failures found in qualification: isolate to component, drive RMA and vendor escalation, and feed failure patterns back into the qual gates
• Deploy 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
• Worked deep in Linux and out-of-band management: BMC, IPMI, and Redfish are daily tools for you, not occasional lookups
• 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
• Worked physically in data halls, racking, cabling, and swapping components, and you're just as effective acting as remote hands or directing them
• Tried to isolate the fault to a component before reaching for a fix
• Travelled for turn-up windows when a new data hall came online

Qualifications

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

Skills

• Linux and out-of-band management expertise (BMC, IPMI, Redfish)
• Python or Go programming skills for automating hardware workflows
• Physical data center experience, including racking, cabling, and troubleshooting
• Experience with Kubernetes-based bare-metal provisioning and DCIM systems

Benefits

• Pay equity and transparency
• Equal Employment Opportunity Employer
• Committed to accommodating qualified applicants with arrest and conviction records

Pay

$197K - $227K

Schedule

Not specified