Fluidstack
Production Engineer, Compute
$208K–$269K
San Francisco, CA +3 · On-site · Full-time · Posted Jun 16, 2026
- Location
- San Francisco, CA
New York, NY
Austin, TX
Seattle, WA - Experience
- 5+ years of applied industry experience.
About the job
Builds and operates automation, observability, repair, and GPU qualification systems to maintain a large production compute fleet.
What you'll do
- Own fleet health metrics, alerting, and unified GPU health views across Kubernetes-orchestrated workloads and bare metal.
- Automate compute-failure repair workflows from detection and triage through parts management and return to service.
- Develop GPU qualification, burn-in, performance-baselining, and NPI platforms; own Redfish and BMC tooling.
What they ask for
- 5+ years of applied industry experience.
- Hardware intuition, including reasoning about firmware- and silicon-level failure modes.
- Experience shipping production automation used by other teams; comfortable working in any language with AI coding tools.
- Fluent with AI tooling, including LLM APIs, MCP servers, and agentic frameworks; uses Claude Code, Cursor, or similar.
Nice to have
- Hardware lifecycle management and RMA automation; BMC/Redfish or IPMI tooling; GPU qualification or burn-in frameworks.
- Workflow/orchestration engines such as Temporal or Cadence; metrics/alerting pipelines such as Prometheus or Grafana; Go or Python.
Pay
$208K – $269K USD total compensation (salary + equity)
Tools
Kubernetes, Redfish, BMC, LLM APIs, MCP servers, Claude Code, Cursor, Prometheus
AI focus
Uses AI coding tools and works with LLM APIs, MCP servers, and agentic frameworks; the role builds infrastructure for AI compute.
Model-written summary · the original posting is authoritative