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An innovative firm is seeking a Software Engineer specializing in Networking to join their dynamic team. This role involves designing and implementing advanced networking solutions that enhance the efficiency of AI model training on custom supercomputers. The ideal candidate will have a strong background in C++ and CUDA, with experience in distributed algorithms being a plus. The company promotes a hybrid work model, allowing flexibility while ensuring collaboration. If you are passionate about pushing the boundaries of technology and eager to contribute to groundbreaking AI research, this opportunity is perfect for you.
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About The Team
The Platform 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.
About The Team
The Platform 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
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