Software Engineer, Research Developer Productivity

San Francisco, United StatesHybrid

Requirements

About the Team The Fleet 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.
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.
You might thrive in this role if you: - Have supported large monorepo development and deployment before - Are a proficient Python programmer working in large monorepos - Are proficient with Docker and Kubernetes - Experienced in CI/CD About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence

You will help oversee and drive to the vision of how we should build, test and deploy software.

We frequently collaborate with other teams to speed up the development of new state-of-the-art capabilities.
About the Role As we scale up with more researchers and engineers joining OpenAI, we seek a pragmatic and passionate engineer with a strong focus on the development
In this role, you will be responsible for building and maintaining systems that allow our research + engineering organization to iteratively develop, test, and deploy new features reliably, with high velocity, and with a frictionless and fast development cycle.
You will drive the design of our continuous integration pipelines, testing infrastructure, training and support around our build system.
For a San Francisco role, we use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees.