Software Engineer, Collective Communication at OpenAI
- Company: OpenAI
- Location: San Francisco
- Employment type: Full-time
- Salary: $380K – $500K • Offers Equity
- Posted: 2024-04-20
- Technologies: CUDA, OpenAI
About the role
About the Team The Workload Networking team is responsible for the collective communication stack used in our largest training jobs. Using a combination of C++ and CUDA we work on novel collective communication techniques that enable efficient training of our flagship models on our largest custom built supercomputers. The models we train are key ingredients to the AI research progress at OpenAI and the field as a whole, and we continually incorporate learnings from our entire research org into our training platform. About the Role As a Software Engineer, Networking you will design and implement custom networking collectives that are tightly integrated into our training stack. We’re looking for people who have a background in low level performance critical software. Experience with collective communication is a bonus. This role is based in San Francisco, CA.…
Apply on OpenAI's official careers page: https://jobs.ashbyhq.com/openai/340c0c22-8d8f-4232-b17e-f642b64c25c3