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).
Hands-on technician building, testing, and iterating on robotic hardware prototypes in a fast-paced lab environment. Requires strong electromechanical troubleshooting, fabrication, and cross-functional collaboration skills.
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