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Software Engineer, Collective Communication

OpenAI

Software Engineer, Collective Communication is a still-open role at OpenAI on Jobrow. Location: On-site · San Francisco · California · United States. Listed pay: $380k–$500k. Sourced from the company's public Ashby board. First seen 2 months ago; last confirmed 9 days ago. Apply on the employer ATS — Jobrow is not the employer.

Pay
$380k–$500k
Workplace
On-site
Location
San Francisco · California · United States
First seen
2 months ago
Last seen
9 days ago
Board
Ashby
Apply

About this role

About the Team The Workload Networking team is responsible for the collective communication stack used in our largest training jobs.

  • Function: Engineering
  • Seniority: mid
  • cuda

Location & pay

On-site · San Francisco · California · United States Listed pay on Jobrow: $380k–$500k.

Source

Jobrow reads the public Ashby board for OpenAI. First seen 2 months ago; last seen 9 days ago. We are not the employer — apply only on the company ATS.

Posting

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. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. In this role, you will: - Collaborate closely with ML researchers to design and implement efficient collective operations in C++ and CUDA. - Ensure that our largest training jobs take full advantage of the different network transports used in our supercomputers. - Work on simulations to inform our future supercomputer network designs.  You might thrive in this role if you: - Have written distributed algorithms using RDMA in the past. - Are comfortable writing low level performance sensitive CPU and/or GPU code. - Are familiar with network simulation techniques. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.  We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement https://cdn.openai.com/po

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