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Forward Deployed Engineer, Compute Operations

Fluidstack New York, United States
Full-time On-site work

Publication date: 05/11/2026

Fluidstack exists to deliver 10 to 100s of GWs of compute faster than anyone else, rethinking every layer of the stack. The company acquires power, designs and builds data centers, and operates them, with teams spanning hardware and software. The role builds fleet health, repair, hardware qualification, facility operations, and runbook automation systems for AI infrastructure.

Responsibilities

Build the fleet health system with real-time telemetry and tiered healthchecks across Kubernetes and bare metal, exposed through one API; Turn repair and RMA into generated work with tracked flows from failure detection to return to service; Ship hardware qualification as software, composing burn-in, performance baselining, and new hardware validation into rack-level workflows; Run the facility on the same system as the fleet, including the maintenance system for lockout tagout and work orders, asset register loading, and the legacy datacenter inventory retirement; Turn every runbook into a checked procedure, with SOPs, training records, and technician qualifications as structured data and self-reporting dashboards; Work forward-deployed beside production engineers and facility operators, on site and on the rotation

Requirements

Shipped production code in Go, Python, or TypeScript; Built real features on LLM APIs (OpenAI, Anthropic, or open-weight models), MCP servers, and agentic frameworks; Works daily with AI coding tools like Claude Code and Cursor; Identifies problems, designs the solution, and ships it without waiting for direction or approval; Moved fast under deadline while leaving foundations that other engineers extended after moving on; Has sat the on-call rotation or worked beside the people who do, and turned operational pain into systems that made the pager quieter; Product taste shown in shipped interfaces and workflows

Nice to have

Production engineering or SRE on large GPU fleets; Hardware qualification or burn-in frameworks; BMC, Redfish, or IPMI tooling; CMMS, DCIM, or asset management systems; BMS/EPMS or SCADA; Prometheus and Grafana

Benefits

Competitive total compensation package (cash + equity); Health, dental, and vision insurance; Retirement plan; Generous PTO policy
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