Maxwell Sterner

Deep Learning Performance Architect

Maxwell Sterner is currently pursuing a Master's in Computer Architecture at USC, with an expected graduation in Fall 2024. Beginning in Spring 2025, Maxwell will join NVIDIA's Deep Learning Architecture Team. Previously, Maxwell held roles including Deep Learning Performance Intern at NVIDIA, Teacher Assistant at Pomona College, and Researcher at UC Irvine, focusing on machine learning acceleration and hardware/software co-design of AI accelerators. Maxwell's research contributions were presented at ICML 2022, highlighting a specialization in quantization and pruning techniques. Maxwell holds a Bachelor of Physics with an emphasis in Computer Science from Occidental College.

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Los Angeles, United States

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