Software Engineer, Data Center Automation
Fluidstack5 hours ago
Base Salary
$224k - $300k/yr
Responsibilities
- Build a fleet health system with real-time telemetry, tiered health checks, alarm correlation, incident generation, and a unified machine-health API across Kubernetes and bare metal.
- Automate repair and RMA workflows from failure detection through triage, parts, vendor return, and return to service, including generated shift task lists and return-to-service reporting.
- Develop software workflows for hardware burn-in, performance baselining, qualification, and validation of accelerator racks and new hardware.
- Own the facility maintenance system, asset model, migration from legacy data center inventory, and rollout of lockout/tagout and work-order capabilities.
- Convert SOPs, training records, technician qualifications, and operational runbooks into structured, auditable procedures and dashboards.
- Work forward-deployed alongside production engineers and facility operators, including on site and on the operational rotation.
Requirements
- Production code shipped in Go, Python, or TypeScript, with the ability to learn and use other languages as needed.
- Experience building real features with LLM APIs such as OpenAI or Anthropic, open-weight models, MCP servers, and agentic frameworks.
- Daily experience using AI coding tools such as Claude Code and Cursor.
- Ability to independently identify problems, design solutions, and ship production systems under deadlines.
- Experience with on-call operations or close collaboration with on-call teams, including reducing operational and pager burden.
- Strong product judgment for building intuitive interfaces and workflows that match operational practices.
- Preferred experience includes production engineering or SRE for large GPU fleets, hardware qualification or burn-in frameworks, BMC, Redfish, IPMI tooling, CMMS, DCIM, asset management systems, BMS/EPMS, SCADA, Prometheus, or Grafana.
Benefits
- Competitive total compensation package including cash and equity.
- Health, dental, and vision insurance.
- Retirement plan.
- Generous paid time off policy.
- The role includes on-site and operational-rotation work alongside production and facilities teams.
Tech Stack
Categories
About Fluidstack
Fluidstack provides on-demand GPU cloud infrastructure for AI training and inference, offering dedicated clusters of NVIDIA H200 and GB200 systems. The company sells compute capacity and managed clusters to AI labs, enterprises, and public-sector teams that need high-throughput workloads. Founded in 2017 and headquartered in New York, it is privately held.