FluidStack
Software Engineer, GPU Infrastructure
About this role
Fluidstack seeks a Software Engineer to build automation and observability systems for managing a massive GPU compute fleet. You'll own health monitoring pipelines, repair automation, GPU qualification platforms, and BMC/Redfish tooling across Kubernetes and bare metal infrastructure scaling to multiple GWs annually.
What you'll do
- Design and implement fleet-wide GPU health metrics, alerting, and unified monitoring across Kubernetes and bare metal at scale
- Build end-to-end repair automation pipelines from failure detection through triage, RMA, and return to service
- Develop and expand GPU qualification platform for burn-in testing, performance baselining, and new hardware NPI execution
- Own Redfish and BMC tooling for firmware telemetry and low-level fleet access
- Drive production cluster migrations and Kubernetes orchestration during rapid site expansions
- Ensure reliability and operability of one of the world's largest GPU fleets
What they're looking for
- Kubernetes and container orchestration
- Systems automation and infrastructure-as-code
- Hardware fundamentals (firmware, BMC, silicon-level failure modes)
- Observability and monitoring systems (metrics, alerting, logging)
- Redfish and IPMI/BMC APIs
- Go, Python, or similar systems programming languages
- Distributed systems and fleet management at scale
- Debugging and performance tuning under ambiguity
Benefits
- Work on civilization-scale AI infrastructure
- Extreme ownership and autonomy over end-to-end systems
- Fast-paced, high-intensity environment with clear impact
- Opportunity to set production standards for new hardware generations
- Exposure to frontier compute challenges across hardware and software
- Team culture emphasizing first-principles thinking and velocity
Opens the application — the Jobs AI extension fills it for you. Set up autofill
Opens the official application on the employer’s site. No login required.
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
- Tell us about a time you automated a manual, repetitive process. What made it successful?
- How would you approach building observability for a fleet you've never seen before, with hardware you don't fully understand?