Software Engineer, Collective Communication
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.
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Software Engineer, Collective Communication at OpenAI in San Francisco. UpJobz keeps this listing high-signal for applicants targeting serious high-tech roles across the United States, Canada, and Mexico. 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.
Day-to-day expectations
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- 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.
- 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.
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- Tailor your resume around ai and machine-learning instead of sending a generic application.
- Use the first two bullets of your application to connect your background directly to software engineer, collective communication is a high-signal on-site role in san francisco, and it is most realistic for united states residents.
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