Software Engineer, Productivity - Training Runtime

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. About the Role We’re looking for someone who cares about the developer experience of working in and around OpenAI’s core training and inference frameworks. In this role you will: - 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 might thrive in this role if: - 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. - You believe in the power of developer experience. Something magical happens when people can quickly and confidently iterate on a simple codebase, but this magic is fragile and must be fought for. - When you see someone trip over something, no matter how small, your first instinct is asking yourself what it would take for that to not happen again. Your second instinct is clicking merge on the PR you’ve already written to make it so. - You are pragmatic. You have the ability to see the world through a perfectionist’s eyes, but are not yourself a perfectionist. You know which problems to pick and when to switch to making progress on a different problem. - You like going end-to-end on things. You love co-design — that feeling when you were only able to find the right solution because you both deeply understand the users that interact wi

Department: Scaling; Team: Runtime