Software Engineer, Distributed Systems

Openai • San Francisco, CA

119d • Hybrid

About The Position

The Compute Runtime team builds the low level framework components to power our ML training systems. We work on building robust, scalable, high performance components to support our distributed training workloads. Our priorities are to maximize the productivity of our researchers and our hardware, with the goal of accelerating progress towards AGI. As a Distributed Systems engineer, you will work to deliver powerful APIs orchestrating thousands of computers moving and persisting vast amounts of data. This requires both providing easy to use, introspectable systems that can promote a fast debugging and development cycle, while also enabling that experience to scale to our newest supercomputers maintaining stability and performance throughout. We're looking for people who love optimizing an end to end system, understanding high performance I/O to maximize local performance and distributed across our supercomputers. We want someone excited by the rapid pace of responding to the dynamic and evolving needs of our training systems architectures.

Requirements

• Have worked on large distributed systems
• Love figuring out how systems work and continuously come up with ideas for how to make them faster while minimizing complexity and maintenance burden
• Have strong software engineering skills and are proficient in Python and Rust or equivalent.

Responsibilities

• Work across our Python and Rust stack
• Profile and optimize and help design for scale our compute and data capabilities
• Work on deploying our training framework to our latest supercomputers rapidly responding to the changing shapes and needs of the ML systems.

Benefits

• Relocation assistance
• Hybrid work model of 3 days in the office per week

What This Job Offers

• Industry: Professional, Scientific, and Technical Services