Software Engineer, Productivity - Model Performance
Builds and improves developer tools, CI/CD pipelines, and testing workflows to boost productivity for OpenAI's model performance engineering teams. Requires strong Python skills, experience with developer infrastructure, and ability to work in ambiguous environments.
About the job
Responsibilities
- Improve development workflows for engineers working on model performance infrastructure
- Design and improve CI/CD, release, validation, and testing pipelines
- Build and maintain tools that improve reliability, iteration speed, and engineering confidence
- Partner closely with engineers to identify friction in testing, debugging, deployment, and development workflows
- Contribute to infrastructure efforts that support performance-critical training and inference systems
- Help improve developer experience across Python-heavy codebases and performance-oriented infrastructure
- Work in a high-context, ambiguous environment where ownership and good judgment matter
Requirements
- Motivated by enabling other engineers and helping them do their best work
- Strong experience with CI/CD, developer infrastructure, testing systems, tooling, or build/release workflows
- Highly collaborative, empathetic, and comfortable partnering deeply with technical teams
- Strong in Python and enjoy building reliable, scalable developer tools and infrastructure
- Experience improving large-scale engineering workflows, especially around CI reliability, test infrastructure, and debugging velocity
- Self-directed and comfortable operating with ambiguity
- Excited to learn model performance domain
Nice-to-haves
- Experience in the PyTorch ecosystem
- Experience with C++ or Rust
Skills
Python, CI/CD, PyTorch, Triton, C++, Rust, Testing Frameworks, Developer Tooling, Infrastructure, Ci Pipelines
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