We’re looking for a software engineer to build and improve the backend services behind these workflows. You’ll work primarily in Python, take projects from design through production, and make our systems more reliable and easier to operate as partner integrations evolve.

The work combines hands-on engineering with careful judgment. You’ll translate requirements about what can be shared into clear, testable business logic, debug problems across system boundaries, and collaborate with the teams that build and use the underlying infrastructure.

This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week.

Build and maintain automated pipelines that transfer model weights, configurations, code, and container images between OpenAI and partner environments

Implement the validation and business logic that determines how artifacts are prepared and shared

Improve production reliability through testing, monitoring, useful diagnostics, and robust failure handling

Integrate services with source control, object storage, and build and container tooling, working closely with the owners of shared infrastructure

Partner with researchers, security teams, and external engineers to understand requirements and resolve integration problems

Improve existing workflows and use AI tools where they can make the systems we build more effective

You might thrive in this role if you:

Have strong Python skills and experience building, testing, and debugging backend software

Have taken a service, pipeline, or automation project from implementation into production and helped keep it reliable

Software Engineer, IP Infrastructure

Responsibilities

Qualification

Required

Preferred

Benefits

Company

OpenAI

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