Production Engineer, Compute

The role

You will own compute fleet health end to end by building metrics pipelines, alerting, and unified health views. You will build automation for deployment and repair pipelines and design GPU qualification platforms.

What you will do

• Own compute fleet health end to end.
• Build metrics pipelines, alerting, and unified health view.
• Turn deployment and repair into a pipeline through automation.
• Design and expand the GPU qualification platform.
• Own Redfish and BMC tooling.
• Own end-to-end reliability, scalability, and operation of the compute fleet at-scale.

Required qualifications

• 5+ years of applied industry experience.
• Instinct for hardware and comfort reasoning about failure modes at the firmware and silicon level.
• Ability to move toward ambiguity.
• Ability to learn at a steep slope.
• Ability to carry a pager and run incidents.
• Fluent with AI tooling including LLM APIs, MCP servers, and agentic frameworks.
• Experience shipping production automation that other teams depend on.
• Comfortable in any 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.

Benefits

• Competitive total compensation package (salary + equity).
• Retirement or pension plan, in line with local norms.
• Health, dental, and vision insurance.
• Generous PTO policy, in line with local norms.

About the company

Fluidstack is focused on delivering 10 to 100s of GWs of compute faster than anyone else by acquiring power, designing and building data centers, and operating them.