OpenAI

3 months ago

Software Engineer, Productivity - Model Performance

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 2 hours agoStatus: Live

Job Summary

We are hiring a developer productivity engineer in OpenAI's Model Performance org to improve developer infrastructure, CI systems, testing workflows, and tooling for frontier-scale model training and inference. You will own CI/CD pipelines, build reliable developer tools, and collaborate across teams to reduce friction in testing and deployment, with openness to PyTorch, Python, and performance-oriented infrastructure.

Location: San Francisco

Workplace: Onsite

Employment Type: Full time

Job Function: Software Engineering

Key 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

Pay and Benefits

Salary: USD 230,000 - 385,000 annually

Key Requirements

•Strong experience with CI/CD, developer infrastructure, testing systems, tooling, or build/release workflows
•Strong in Python and comfortable 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
•Experience with the PyTorch ecosystem is highly relevant; C++ or Rust is a nice-to-have

Skills:CollaborationCommunicationProblem-solvingOwnershipTeamwork

Languages:English

Tech Stack:PythonPyTorchC++Rust

Company Brief

OpenAI

Develops and deploys advanced generative AI models (including ChatGPT and DALL·E) and AI infrastructure, providing APIs and consumer products to accelerate safe AGI for broad benefit.

Industry: AI & Machine Learning

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Scaleup

Valuation: Hectocorn (USD 100B+)

Funding: Series E+

Headquarters: San Francisco, United States

Founded: 2015

Glassdoor: 4.4

Website LinkedIn Glassdoor

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OpenAI

3 months ago

Software Engineer, Productivity - Model Performance

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 2 hours agoStatus: Live

Job Summary

Location: San Francisco

Workplace: Onsite

Employment Type: Full time

Job Function: Software Engineering

Key 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

Pay and Benefits

Salary: USD 230,000 - 385,000 annually

Key Requirements

•Strong experience with CI/CD, developer infrastructure, testing systems, tooling, or build/release workflows
•Strong in Python and comfortable 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
•Experience with the PyTorch ecosystem is highly relevant; C++ or Rust is a nice-to-have

Skills:CollaborationCommunicationProblem-solvingOwnershipTeamwork

Languages:English

Tech Stack:PythonPyTorchC++Rust

Company Brief

OpenAI

Develops and deploys advanced generative AI models (including ChatGPT and DALL·E) and AI infrastructure, providing APIs and consumer products to accelerate safe AGI for broad benefit.

Industry: AI & Machine Learning

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Scaleup

Valuation: Hectocorn (USD 100B+)

Funding: Series E+

Headquarters: San Francisco, United States

Founded: 2015

Glassdoor: 4.4

Website LinkedIn Glassdoor