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Software Engineer, IP Infrastructure

OpenAI

Software Engineer, IP Infrastructure is a still-open role at OpenAI on Jobrow. Location: Hybrid · San Francisco · California · United States. Listed pay: $266k–$405k. Sourced from the company's public Ashby board. First seen 1 hour ago; last confirmed 1 hour ago. Apply on the employer ATS — Jobrow is not the employer.

Pay
$266k–$405k
Workplace
Hybrid
Location
San Francisco · California · United States
First seen
1 hour ago
Last seen
1 hour ago
Board
Ashby
Apply

About this role

ABOUT THE TEAM The IP Infrastructure team builds and operates the systems that enable OpenAI to share research and engineering technology securely and reliably with strategic partners.

  • Function: Infrastructure
  • Seniority: mid
  • python

Location & pay

Hybrid · San Francisco · California · United States Listed pay on Jobrow: $266k–$405k.

Source

Jobrow reads the public Ashby board for OpenAI. First seen 1 hour ago; last seen 1 hour ago. We are not the employer — apply only on the company ATS.

Posting

ABOUT THE TEAM The IP Infrastructure team builds and operates the systems that enable OpenAI to share research and engineering technology securely and reliably with strategic partners. Our work spans continuously running pipelines for model weights, configurations, code, and container images. We work closely with research, security, developer infrastructure, and partner engineering teams to turn complex requirements into dependable software. We’re a small, collaborative team with direct ownership of systems that support important partnerships. ABOUT THE ROLE 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. IN THIS ROLE, YOU WILL: - 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 - Enjoy investigating how systems fit together and tracing problems across services and dependencies - Can turn ambiguous requirements into practical software while exercising sound judgment around sensitive information - Communicate

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