Fluidstack
Software Engineer, Compute (GPU)
$208K–$269K
San Francisco, CA +3 · On-site · Full-time · Posted Jul 20, 2026
- Location
- San Francisco, CA
New York, NY
Austin, TX
Seattle, WA
About the job
Build and operate software automation, monitoring, qualification, and reliability systems for Fluidstack’s large-scale GPU compute fleet.
What you'll do
- Develop fleet health metrics, alerting, and observability across Kubernetes-orchestrated workloads and bare metal.
- Automate compute failure detection, triage, parts management, repair, and return to service.
- Build GPU qualification and Redfish/BMC tooling, including burn-in, performance baselining, and firmware-level telemetry.
What they ask for
- Experience shipping production automation used by other teams.
- Comfort reasoning about hardware failure modes at the firmware and silicon level.
- Fluency with AI tooling, including LLM APIs, MCP servers, and agentic frameworks; regular use of Claude Code, Cursor, or similar.
- Comfort working in any programming language using AI coding tools.
Nice to have
- Hardware lifecycle management and RMA automation; BMC/Redfish or IPMI tooling; GPU qualification or burn-in frameworks.
- Workflow and orchestration engines (Temporal, Cadence); metrics and alerting pipelines (Prometheus, Grafana); Go or Python.
Pay
USD $208K – $269K total compensation; equity offered (amount not stated).
Tools
Kubernetes, Redfish, BMC, IPMI, Temporal, Cadence, Prometheus, Grafana
AI focus
Use AI coding tools in software development; the role also calls for familiarity with LLM APIs, MCP servers, and agentic frameworks.
Model-written summary · the original posting is authoritative