OpenAI
Software Engineer, Productivity - Model Performance
About this role
Join OpenAI's Model Performance team as a Software Engineer focused on developer productivity. You'll design and improve CI/CD pipelines, testing workflows, and infrastructure tooling to help engineers work faster and more reliably on large-scale model training and inference systems.
What you'll do
- Improve development workflows and reduce friction in testing, debugging, and deployment processes
- Design and maintain CI/CD, release, validation, and testing pipelines
- Build developer tools that enhance reliability, iteration speed, and engineering confidence
- Partner with engineers to identify and address workflow bottlenecks
- Contribute to performance-critical infrastructure supporting training and inference systems
- Enhance developer experience for Python-heavy codebases and performance-oriented infrastructure
What they're looking for
- CI/CD systems and pipelines
- Developer infrastructure and tooling
- Python programming
- Test automation and infrastructure
- Build and release workflows
- PyTorch ecosystem (highly relevant)
- C++ or Rust (nice-to-have)
- Large-scale system design
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OpenAI
OpenAI builds AI infrastructure and products, including large-scale data center campuses for AI computing and generative AI applications for enterprise customers. The company is hiring civil engineers, project engineers, electrical design engineers, data center R&D engineers, and AI deployment engineers to expand its infrastructure capabilities and help customers deploy AI solutions.
View all jobs at OpenAILikely interview questions
- Walk us through a time you identified and fixed a systemic bottleneck in a CI/CD pipeline or testing workflow. What was the impact?
- How would you approach designing a testing infrastructure to support a large-scale, performance-critical codebase? What tradeoffs would you consider?