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OpenAIOpenAISan Francisco, CA

Software Engineer, Fleet Hardware Health

Develops automation and monitoring tools to ensure reliability and uptime of OpenAI's large-scale compute fleet, including server provisioning, health monitoring, and performance optimization. Requires strong Linux, networking, and programming skills in Python or Go, with experience in large-scale server environments.

230k – 490k/yr
On-siteHardware Engineering

About the role

Responsibilities

  • Build and maintain automation systems for provisioning and managing server fleets.
  • Develop tools to monitor server health, performance, and lifecycle events.
  • Collaborate with clusters, networking, and infrastructure teams.
  • Partner with external operators to ensure a high level of quality.
  • Identify and fix performance bottlenecks and inefficiencies.
  • Continuously improve automation to reduce manual work.

Requirements

  • Experience managing large-scale server environments.
  • A balance of strengths in building and operationalizing.
  • Proficiency in Python, Go, or similar languages.
  • Strong Linux, networking, and server hardware knowledge.
  • Comfort digging into noisy data with SQL, PromQL, and Pandas or any other tool.

Bonus Skills

  • Experience with low level details of hardware components, protocols, and associated Linux tooling (e.g., PCIe, Infiniband, networking, power management, kernel perf tuning).
  • Knowledge of hardware management protocols (e.g., IPMI, Redfish).
  • High-performance computing (HPC) or distributed systems experience.
  • Prior experience developing, managing, or designing hardware.
  • Familiarity with monitoring tools (e.g., Prometheus, Grafana).

Skills

PythonGoLinuxSQLPromqlpandasPrometheusGrafanaKubernetesIpmiRedfishPcieInfiniBand
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