Frontiers Infrastructure Engineer

The Frontiers Infrastructure team at OpenAI builds low-level framework components to power ML training systems. They focus on creating robust, debuggable, high-performance libraries to support distributed training workloads. The team's priorities are maximizing researcher productivity and hardware efficiency to accelerate progress towards AGI.

As a Frontiers Infrastructure Engineer, you'll work on delivering powerful APIs that orchestrate thousands of computers for moving and persisting vast amounts of data. This role requires creating easy-to-use, introspectible systems that promote fast debugging and development cycles while scaling to the newest supercomputers with stability and performance.

Key responsibilities include:

• Working across the Python stack
• Profiling, optimizing, and designing for scale in compute and data capabilities
• Building and maintaining tools used by researchers
• Deploying the training framework to the latest supercomputers, rapidly responding to changing ML system needs

The ideal candidate should:

• Have experience with large distributed systems
• Love figuring out how systems work and continuously improve them
• Enjoy accelerating research
• Possess strong software engineering skills and proficiency in Python

This role is based in San Francisco, CA, with a hybrid work model of 3 days in the office per week. OpenAI offers relocation assistance to new employees and is committed to diversity, equal opportunity, and providing reasonable accommodations to applicants with disabilities.

Join OpenAI in shaping the future of technology and ensuring that the benefits of AI are widely shared.