TLM, Research Platform, Developer Productivity

at  OpenAI

ABOUT THE TEAM

The Platform Runtime team builds core components to enable productive research from small to state of the art scale across OpenAI, with the goal of accelerating progress towards AGI. We frequently collaborate with other teams across all of research to speed up the development of new state-of-the-art capabilities.

ABOUT THE ROLE

In this role, you will serve as a technical lead and manager for our Developer Productivity team. As we scale up with more researchers and engineers joining OpenAI, we seek a pragmatic and passionate TLM with a strong focus on the development experience for both engineers and scientists.
In this role, you will be responsible for overseeing the building and maintaining systems that allow our research + engineering organization to iteratively develop and test new features reliably, with high velocity, and with a frictionless and fast development cycle.
You will help oversee and drive to the vision of how we should build, test and deploy software. You will drive the design of our continuous integration pipelines, testing infrastructure, training and support around our build system. Our current environment relies heavily on Python, Rust, and C++, which you will take ownership of and strive to transform into a state of the art development experience for research.
Ultimately, your role will be to provide the necessary tools and metrics to support our fast-paced culture and ensure a stable, scalable platform for growth, while also fostering a seamless and low friction experience for OpenAI’s research.
This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees.

YOU MIGHT THRIVE IN THIS ROLE IF YOU:

• Have supported large monorepo deployments before
• Are a proficient Python programmer, with experience using Rust in production
• Are proficient with Kubernetes