Product Engineer, Data Center Automation
Fluidstack6 hours ago
Base Salary
$224k - $300k/yr
Responsibilities
- Build a fleet health system with telemetry, tiered health checks, alarm correlation, incident generation, and probable-cause drafting across Kubernetes and bare-metal machines.
- Automate repair and RMA workflows from failure detection through triage, parts, vendor return, and return to service.
- Build rack-level hardware qualification, burn-in, performance-baselining, and validation workflows for large-scale accelerator deployments.
- Own the facility maintenance system, asset model, data migration, work orders, and retirement of legacy data-center inventory tools.
- Convert runbooks, SOPs, training records, and technician qualifications into structured, auditable data and generate operational dashboards.
- Work forward-deployed with production engineers and facility operators, build the tools they use, and participate in the on-call rotation.
Requirements
- Have shipped production code in Go, Python, or TypeScript and be able to learn additional languages as needed.
- Have built real features using LLM APIs such as OpenAI, Anthropic, or open-weight models, along with MCP servers and agentic frameworks.
- Use AI coding tools such as Claude Code and Cursor and can enable agents to work autonomously alongside you.
- Demonstrate end-to-end ownership, independent problem solving, rapid execution, and the ability to build foundations other engineers can extend.
- Have participated in an on-call rotation or worked closely with on-call teams and improved operational reliability.
- Show strong product judgment through clear interfaces and workflows aligned with how engineers and operators work.
- Preferred experience includes production engineering or SRE on large GPU fleets, hardware qualification or burn-in frameworks, BMC, Redfish, IPMI, CMMS, DCIM, asset management systems, BMS/EPMS, SCADA, Prometheus, and Grafana.
Benefits
- Competitive total compensation package including cash and equity.
- Health, dental, and vision insurance.
- Retirement plan.
- Generous paid time off policy.
Tech Stack
Categories
Product Engineering
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.