Full Stack Engineer, Fleet Scheduling

OpenAI is seeking a Full Stack Engineer to join their Fleet Scheduling team, focusing on building intuitive and scalable interfaces for managing AI workloads across some of the world's largest supercomputers. This role combines frontend and backend development to create powerful tools that enable researchers to efficiently manage and monitor complex AI infrastructure.

The position offers an exciting opportunity to work at the cutting edge of AI infrastructure, where you'll design and develop web-based systems that provide real-time insights and resource tracking. You'll be working with modern technologies including React, Python, and Kubernetes, while handling exascale workloads and maintaining high performance standards.

Based in San Francisco with a hybrid work model (3 days in office), this role offers a competitive compensation package ranging from $310K to $465K, plus equity and comprehensive benefits. The role requires expertise in full-stack development, distributed systems, and cloud infrastructure, with a focus on building scalable solutions that enhance researcher productivity.

You'll be part of a collaborative environment, working closely with researchers, product teams, and infrastructure specialists to deliver solutions that power OpenAI's mission of ensuring general-purpose AI benefits humanity. The ideal candidate will combine technical expertise with a user-centric approach, creating tools that simplify complex operations while maintaining enterprise-grade reliability and security.

This is a unique opportunity to impact the future of AI development by building the tools that enable groundbreaking research and development at OpenAI. The role offers significant growth potential and the chance to work with cutting-edge technology while solving complex challenges in AI infrastructure management.