Supercomputing, Software Engineer - Scheduling

OpenAI is seeking a Supercomputing, Software Engineer specializing in Scheduling to join their Supercomputing Scheduling Pillar. This team is dedicated to ensuring the reliability, scalability, and user-friendliness of job lifecycle management for some of the largest supercomputers in the world.

As a Software Engineer in this role, you will be responsible for designing, writing, deploying, and operating job lifecycle management systems for model training. The scale of this work is immense, with tight timelines and a fast-moving organization. This is an opportunity to shape a critical system in support of OpenAI's mission to ensure that general-purpose artificial intelligence benefits all of humanity.

Key responsibilities include:

• Designing, implementing, and operating components of quota management, job scheduling, and queuing systems
• Interfacing with researchers to understand workload requirements
• Harmonizing job lifecycle features with cluster infrastructure, storage, and hardware health requirements

The ideal candidate will have:

• Significant experience with hyperscale scheduling systems
• Strong programming skills
• Experience working in public clouds, especially Azure
• An execution-focused mentality paired with a rigorous focus on user requirements
• As a bonus, an understanding of AI/ML workloads

OpenAI offers a competitive compensation package, including a salary range of $360K – $440K, generous equity, and comprehensive benefits. These include medical, dental, and vision insurance, mental health support, a 401(k) plan with 50% matching, unlimited time off, paid parental leave, and an annual learning & development stipend.

This role is based in San Francisco, CA, with a hybrid work model of 3 days in the office per week. Relocation assistance is available for new employees. Join OpenAI in shaping the future of technology and ensuring that the benefits of AI are widely shared.