Summary
Steven Chen is a Staff Software Engineer specializing in perception and machine learning for autonomous vehicles, currently leading ML efforts at Aurora after progressing through multiple engineering roles there. With 11 years of experience and MS in Computer Science from Stanford, he blends deep research (ICCV and CVPR publications) with production engineering from internships and roles at NVIDIA, Google, Riot Games, and RetailMeNot. He has a strong foundation in computer vision, deep learning, and systems, having worked on efficient DNN inference for streaming video and sensor-visibility networks for AVs. Steven pairs top academic credentials (UT Austin Turing Scholars, 4.0 GPAs) with hands-on experience shipping large-scale ML and recommendation systems. He also has teaching experience in flagship Stanford courses, reflecting an ability to communicate complex ML concepts to engineers and students. Peers describe him as a practical researcher-engineer who translates cutting-edge vision research into robust, deployable perception systems.
11 years of coding experience
6 years of employment as a software developer
Bachelor of Science (BS), Computer Science, Honors, 4.0, Bachelor of Science (BS), Computer Science, Honors, 4.0 at The University of Texas at Austin
International Baccalaureate, Class Rank 7/600, International Baccalaureate, Class Rank 7/600 at Westwood High School
Master of Science (MS), Computer Science (Artificial Intelligence), 4.0, Master of Science (MS), Computer Science (Artificial Intelligence), 4.0 at Stanford University
English, Chinese