Compute Engineer, Deployment
Hybrid (New York, NY), Hybrid (San Francisco, CA), Hybrid (Austin, TX), Hybrid (U.S. Remote), Hybrid (Seattle, WA)$164k - $206k + equityFull-timePosted 3mo ago
About the role
Role focused on turning up compute infrastructure from facility availability to ready-for-service, including rack qualification, base-management tooling, and remote turn-up across multiple data centers with travel.
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.
Qualifications
- 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.
Skills
Required:LinuxOut-of-band managementAutomation (Python or Go)Hardware troubleshooting
Benefits
- We are committed to pay equity and transparency.
Last updated Sep 1, 2026. Interested? Apply on the company site.
About Fluidstack
Fluidstack builds civilization-scale infrastructure for AI
Fluidstack builds civilization-scale infrastructure for AI, delivering gigawatts of compute in 6 months. We're leading the deployment of Anthropic's $50B compute build out.
AI infrastructurecompute centershardwaresoftwarepowerdata centersAnthropicfrontier compute
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