About the job
About Our Team
The Platform Systems team at OpenAI is at the forefront of innovation, merging advanced AI technologies with large-scale distributed systems. We are tasked with creating the engineering and research infrastructure essential for training OpenAI's premier models on some of the most powerful, custom-built supercomputers globally.
Our team is dedicated to developing the core software for model training, delving deep into the technological stack. This encompasses collective communication, compute efficiency, parallelism strategies, fault tolerance, failure detection, and observability. The systems we design are pivotal to enhancing OpenAI's research capabilities, facilitating reliable and efficient training at the leading edge of technology.
We work in close partnership with researchers across the organization, continuously integrating insights from various OpenAI projects to advance our training platform.
About the Role
As a Software Engineer specializing in Platform Systems, you will architect and develop distributed systems that enhance visibility into large-scale training operations, ensuring their dependable operation at scale.
Your responsibilities will include designing systems for failure detection, tracing, and observability that pinpoint slow or malfunctioning nodes, identify performance bottlenecks, and assist engineers in optimizing extensive distributed training tasks. This infrastructure is integral to the functionality of OpenAI's training stack and is continuously evolving to accommodate new use cases and increasingly intricate workloads.
This position is central to our training infrastructure, merging systems engineering, performance analysis, and large-scale debugging.
Key Responsibilities
- Design and develop distributed failure detection, tracing, and profiling systems tailored for large-scale AI training jobs.
- Create tools to identify slow, faulty, or errant nodes and deliver actionable insights into system behavior.
- Enhance observability, reliability, and performance across OpenAI's training platform.
- Troubleshoot and resolve issues within complex, high-throughput distributed systems.
- Collaborate effectively with systems, infrastructure, and research teams to advance platform capabilities.
- Adapt and expand failure detection and tracing systems to support new training paradigms and workloads.
Ideal Candidate Profile
- Possesses a deep passion for performance, stability, and observability in distributed systems.
- Demonstrates proficiency in systems engineering and performance analysis.
- Has experience in debugging high-throughput distributed systems.
- Exhibits strong collaboration skills with a track record of working with cross-functional teams.
- Shows adaptability and eagerness to embrace new technologies and methodologies.

