GPU HPC Systems Engineer — Fleet Reliability & Automation

OpenAI; California (MO); On-site; USD 180,000 - 260,000; Full time

Job summary

OpenAI's Fleet HPC team seeks a software engineer to ensure reliability and uptime of our compute fleet. You will build automation for provisioning, monitoring, and lifecycle events across large-scale server environments, collaborating with clusters, networking, and infrastructure teams.

You will own system-level investigations, develop tooling in Python/Go, analyze noisy data with SQL/PromQL, and push for automated remediation at scale while maintaining high safety and efficiency in our

Qualifications

• 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.

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.

Skills

Python

Go

Linux

Networking

Server hardware

SQL/PromQL

Tools

Prometheus

Grafana

IPMI

Job description

OpenAI's Fleet HPC team seeks a software engineer to ensure reliability and uptime of our compute fleet. You will build automation for provisioning, monitoring, and lifecycle events across large-scale server environments, collaborating with clusters, networking, and infrastructure teams.

You will own system-level investigations, develop tooling in Python/Go, analyze noisy data with SQL/PromQL, and push for automated remediation at scale while maintaining high safety and efficiency in our