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.
230k – 385k/yr
On-siteDevOps / SRE
About the role
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
Builds and improves CI/CD, testing, validation, and release tooling for OpenAI's inference runtime teams to ensure reliable, performant model deployments across ChatGPT, API, and research workloads. Requires strong Python skills, developer productivity experience, and high ownership in ambiguous environments.
230k – 385k/yr
On-siteDevOps / SRE
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On-siteDevOps / SRE
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On-siteDevOps / SRE
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