Production Engineer, Compute (GPU)

What We're Looking For

The below is a starting point. We always make space for exceptional people, so if you don't fit this role exactly, tell us where you would.

• You treat toil as a bug. Manual steps in a repair workflow are a backlog item, not a job description.
• You have an instinct for hardware. You're comfortable reasoning about failure modes at the firmware and silicon level, not just the software stack above it.
• You move toward ambiguity, not away from it. You walk into the fog, build the map, and explain it to everyone else.
• You learn at a steep slope. You reach real competence in an unfamiliar domain fast. We value this over existing expertise.
• You carry a pager without flinching. You run the incident, write the postmortem, fix the systemic cause, and move on.
• You're fluent with AI tooling. LLM APIs, MCP servers, and agentic frameworks, and you drive Claude Code, Cursor, or similar every day.
• You've shipped production automation that other teams depend on, and you're comfortable in any language using AI coding tools.
• Bonus: 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...