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Software Engineer, Collective Communication

OpenAI

San Francisco, USonsite$380k-$555k/yrPosted Apr 20, 2024

At a glance

Highlights

  • Hybrid work model (3 days in office)
  • Relocation assistance
  • Work on cutting‑edge AI training supercomputers

Why this role might suit you

The role offers engineers the chance to build high‑performance networking primitives for large‑scale AI training, collaborating directly with researchers and leveraging C++ and CUDA expertise on custom supercomputers.

Skills

c++cudardmanetwork-simulationdistributed-algorithmslow-level-performancegpucpu

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. 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.

To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form https://form.asana.com/?d=57018692298241&k=5MqR40fZd7jlxVUh5J-UeA. No response will be provided to inquiries unrelated to job posting compliance.

We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link https://form.asana.com/?k=bQ7w9h3iexRlicUdWRiwvg&d=57018692298241.

OpenAI Global Applicant Privacy Policy https://cdn.openai.com/policies/global-employee-and-contractor-privacy-policy.pdf

At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

Compensation

This Software Engineer role pays $380k-$555k/yr. Within typical range for software engineer roles in United States.

Questions about this role

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