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Software Engineer, Data Center Automation

Fluidstack · New York, NY

onsiteunknown$224,000–$300,000Posted Oct 2, 2026GoPythonTypeScriptKubernetesPrometheusGrafanaOpenAIAnthropic

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About this role

**ABOUT FLUIDSTACK** We exist to make humanity more free. We’re building civilization-scale AI compute infrastructure—acquiring power, designing, building, and operating data centers—so frontier AI can expand human freedom. **HOW WE OPERATE** - **Be a barrel:** Full autonomy. Own things end to end. - **Insane urgency:** Move fast and push forward. - **Reason from first principles:** Challenge assumptions; best idea wins. - **Love of the game:** High intensity, long hours. - **Build something that actually matters:** Work that improves the world. **THE DECISION TEAM (Examples of key problems)** - **Automate the delivery of gigawatts:** Turn AI infrastructure processes into software using a live knowledge graph. - **Forward-deploy beside experts:** Convert on-site judgment into systems that reach every unit. - **Deliver every supercomputer faster than the last:** Learn once, prevent issues everywhere. --- **ROLE SCOPE** You’ll help build systems that power the fleet and the facilities, including: - **Fleet health system:** Real-time telemetry + tiered health checks across Kubernetes and bare metal, exposed via a trusted API (with correlated alarms and drafted probable causes for on-call). - **Generated repair + RMA work:** End-to-end tracked flow from failure detection → triage → parts/vendor return → return to service, with automated routing and shift todo generation. - **Hardware qualification as software:** Burn-in, performance baselining, and validation composed into rack-level workflows with acceptance evidence attached. - **Facility operations on the same system as the fleet:** Roll out maintenance/lockout-tagout/work orders, migrate asset registers, retire legacy inventory before new building energizes. - **Runbooks as checked procedures:** Convert SOPs/training/qualifications into structured, auditable data; report site SLOs, deployment cycle time, and labor ramp. You’ll work **forward-deployed** alongside production engineers and facility operators—on site and on rotation. --- **WHAT WE’RE LOOKING FOR** - Shipped production code in **Go, Python, or TypeScript** (and can pick up other languages as needed). - Built real features on **LLM APIs** (OpenAI, Anthropic, or open-weight), **MCP servers**, and **agentic frameworks**. - Work daily with AI coding tools like **Claude Code** and **Cursor**, using agents to accomplish useful work. - Identify problems, design solutions, and ship without waiting for direction. - Move fast under deadlines while leaving strong foundations for others. - Experience with **on-call** (or working closely with on-call) and turning operational pain into systems. - Strong product taste: interfaces and workflows that match how teams actually work. **Bonus** - Production engineering or SRE on large GPU fleets. - Hardware qualification/burn-in frameworks. - **BMC/Redfish/IPMI** tooling. - **CMMS/DCIM/asset management** systems. - **BMS/EPMS/SCADA**. - **Prometheus/Grafana**. --- **BENEFITS** - Competitive total compensation (**cash + equity**) - Health, dental, and vision insurance - Retirement plan - Generous PTO **EQUAL EMPLOYMENT OPPORTUNITY** Fluidstack is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration without regard to protected characteristics. **APPLY** https://jobs.ashbyhq.com/fluidstack/05c2e69c-42f9-4fcb-9cf0-a467aaf98f1c (Privacy/AI notices available at: https://fluidstack.io/legal/applicant-privacy-notice and https://fluidstack.io/legal/ai

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