Software Engineer, ML Systems & Training Architecture

Responsibilities

• Review, improve, and clean up code across training frameworks and adjacent infrastructure
• Identify risky or low-quality changes to raise the code quality bar without slowing the team down
• Debug complex issues across ML training systems, GPUs, clusters, networking, and related infrastructure
• Unblock researchers and engineers by fixing broken training jobs, flaky workflows, and brittle internal tooling
• Improve the reliability, maintainability, and usability of the robotics team’s training framework
• Move quickly on practical engineering problems that directly affect team velocity

Requirements

• Strong software engineering fundamentals and excellent code review judgment
• Experience with ML systems, training frameworks, GPUs, or distributed systems
• Proven ability to read and debug unfamiliar codebases and complex technical environments quickly
• Experience shipping high-quality code with strong velocity and pragmatic judgment
• Ability to work onsite in San Francisco 5 days per week

Preferred Qualifications

• Experience reviewing messy, fast-moving, or AI-generated codebases
• A preference for being a highly effective hands-on individual contributor over driving process-heavy initiatives

Benefits

• Competitive salary ($295K – $380K) and generous equity
• Medical, dental, and vision insurance for you and your family
• 401(k) retirement plan with employer match
• Paid parental leave and flexible PTO
• Daily meals in the office and meal delivery credits
• Annual learning and development stipend
• Relocation support for eligible employees

About the Company

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products.