Software Engineer, Productivity
About the Team We’re hiring software engineers to make the Workload team more productive. The Workload team maintains the core components of OpenAI’s training and inference frameworks and helps execute frontier experiments.
What this role actually needs.
Software Engineer, Productivity at OpenAI in San Francisco. UpJobz keeps this listing high-signal for applicants targeting serious high-tech roles across the United States, Canada, and Mexico. About the Team We’re hiring software engineers to make the Workload team more productive. The Workload team maintains the core components of OpenAI’s training and inference frameworks and helps execute frontier experiments.
Day-to-day expectations
A clear list of the work this role is designed to cover.
- Be responsible for optimizing the development workflows of the engineers around you
- Work within various Workload teams to address their specific needs, but collaborate with the centralized teams that own various aspects of development experience
- Optimize iteration speed, both broadly, and in particular by optimizing specific teams’ CI
- Improve reliability, for instance, by driving testing strategy for particular components
- Work through the long tail of things that it takes to build libraries and systems that will delight researchers
- You are motivated by helping people. You believe a thing that separates great teams from good teams are the players willing to do whatever work it takes, without ego.
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Next moves
- Tailor your resume around ai and llm instead of sending a generic application.
- Use the first two bullets of your application to connect your background directly to software engineer, productivity is a high-signal on-site role in san francisco, and it is most realistic for united states residents.
- Open the role quickly if it fits and bookmark three similar jobs before you leave the page.
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- $230K - $385K is visible, so calibrate your application around the posted range.
- Use united states residents as part of your positioning so the recruiter does not have to infer it.
- Show concrete examples of succeeding in on-site environments.
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