FluidStack
Compute Engineer, Deployment
About this role
Fluidstack is seeking a Compute Deployment Engineer to own the transition of GPU and accelerator compute infrastructure from facility handoff to production readiness. You'll qualify hundreds of racks per site through firmware configuration, burn-in testing, and cluster validation while building automation to scale qualification faster than fleet growth.
What you'll do
- Own compute turn-up from facility availability through production readiness across thousands of racks
- Establish firmware baselines, configure BMC/BIOS, and run burn-in validation on GPU and custom accelerator platforms
- Automate hardware qualification workflows via provisioning stack and Kubernetes to eliminate manual bottlenecks
- Triage hardware failures methodically, isolate faults to component level, and drive RMA/vendor escalation
- Partner with network, ICT, data center ops, and hardware teams during turn-up windows and incident response
- Travel to data halls for weekly on-site turns during new facility bring-up phases
What they're looking for
- Linux administration and out-of-band management (BMC, IPMI, Redfish)
- Python or Go for infrastructure automation
- Large-scale server or GPU fleet deployment and production bringup
- Hands-on data center experience: racking, cabling, component troubleshooting
- Hardware failure diagnosis across firmware, software, and physical layers
- Kubernetes-based bare-metal provisioning (bonus)
- GPU/accelerator platform bringup experience (bonus)
- DCIM and inventory systems (bonus)
Benefits
- Work on civilization-scale AI infrastructure
- Extreme ownership with full autonomy over end-to-end projects
- High-velocity environment pushing technical frontiers
- Competitive compensation with pay equity commitment
- Mix of remote and on-site work with structured travel windows
- Collaborative team spanning hardware and software domains
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FluidStack
FluidStack builds AI infrastructure at scale, developing data centers and warehouse operations designed to handle gigawatt-capacity compute deployment. The company is hiring for warehouse engineers, data center operations specialists, product engineers, and people leaders to support rapid infrastructure expansion across multiple sites.
- Website
- fluidstack.io
Likely interview questions
- Describe the largest server or GPU fleet you've brought to production—how many nodes, what was the critical path, and what bottlenecks did you hit?
- Walk us through a time you diagnosed a hardware failure across firmware, software, and physical layers. How did you isolate the root cause?