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Software Engineer, GPU Infrastructure - HPC

OpenAI

Software Engineer, GPU Infrastructure - HPC is a still-open role at OpenAI on Jobrow. Location: On-site · San Francisco · California · United States. Listed pay: $230k–$490k. Sourced from the company's public Ashby board. First seen 2 months ago; last confirmed 9 days ago. Apply on the employer ATS — Jobrow is not the employer.

Pay
$230k–$490k
Workplace
On-site
Location
San Francisco · California · United States
First seen
2 months ago
Last seen
9 days ago
Board
Ashby
Apply

About this role

About the team The Fleet team at OpenAI supports the computing environment that powers our cutting-edge research and product development.

  • Function: Infrastructure
  • Seniority: mid
  • python
  • sql

Location & pay

On-site · San Francisco · California · United States Listed pay on Jobrow: $230k–$490k.

Source

Jobrow reads the public Ashby board for OpenAI. First seen 2 months ago; last seen 9 days ago. We are not the employer — apply only on the company ATS.

Posting

About the team The Fleet team at OpenAI supports the computing environment that powers our cutting-edge research and product development. We oversee large-scale systems that span data centers, GPUs, networking, and more, ensuring high availability, performance, and efficiency. Our work enables OpenAI’s models to operate seamlessly at scale, supporting both internal research and external products like ChatGPT. We prioritize safety, reliability, and responsible AI deployment over unchecked growth. About the role As a software engineer on the Fleet High Performance Computing (HPC) 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. In this role, you will: - 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. - 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. Prior hardware expertise is not required for this role. Bonus Skill

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