Fleet Scheduling, Software Engineer

OpenAI is seeking a Fleet Scheduling Software Engineer to join their team in San Francisco. This role is crucial in designing and operating job lifecycle management systems for model training on some of the world's largest supercomputers. The Fleet Scheduling team focuses on ensuring reliability, scalability, and user-friendliness of job lifecycle management, with emphasis on efficient job scheduling, quota management, and execution workflows.

As part of this role, you'll be working on managing and optimizing supercomputing fleets to support large-scale AI research. The position offers an exciting opportunity to shape critical systems that support OpenAI's mission of advancing AI capabilities responsibly. The scale is immense, and the impact is direct on the organization's core infrastructure.

The role operates on a hybrid work model with 3 days in the office per week, and the company provides relocation assistance. You'll be working with cutting-edge technology and interfaces, including experience with hyperscale scheduling systems, public clouds (especially Azure), and Kubernetes. The position requires strong programming skills and an execution-focused mentality.

OpenAI offers a comprehensive benefits package including medical, dental, and vision insurance, mental health support, 401(k) with 50% matching, generous time off, and substantial parental leave (24 weeks for birth parents, 20 weeks for other parents). The compensation is highly competitive, ranging from $360K to $440K, plus equity and additional benefits.

The company is committed to diversity, equality, and ensuring AI benefits all of humanity. They provide reasonable accommodations and maintain an inclusive work environment. This is an opportunity to be part of a team that's pushing the boundaries of AI technology while maintaining a strong focus on safety and human needs.