As a software engineer on the Fleet Hardware team, you will be responsible for the reliability and uptime of all of OpenAI’s compute fleet. Minimizing hardware failure is key to research training progress and stable services, as even a single hardware hiccup can cause significant disruptions. With increasingly large supercomputers, the stakes continue to rise.

Being at the forefront of technology means that we are often the pioneers in troubleshooting these state-of-the-art systems at scale. This is a unique opportunity to work with cutting-edge technologies and devise innovative solutions to maintain the health and efficiency of our supercomputing infrastructure.

Our team empowers strong engineers with a high degree of autonomy and ownership, as well as ability to effect change. This role will require a keen focus on system-level comprehensive investigations and the development of automated solutions. We want people who go deep on problems, investigate as thoroughly as possible, and build automation for detection and remediation at scale.

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.

You might thrive in this role if you have:

Experience managing large-scale server environments.

A balance of strengths in building and operationalizing.

Software Engineer, Fleet Hardware Health

Responsibilities

Company

Openai

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