Summary
Jiaxun Cui is a software engineer and researcher with eight years of experience at the intersection of reinforcement learning, robotics, and autonomous driving, currently working on Gemini multi-agent RL post-training at Google Cloud AI. He completed a PhD in Electrical and Computer Engineering at UT Austin, where his research produced multi-agent driving policies and cooperative perception systems for networked vehicles, and he has held research and internship roles at Meta, Bosch, Tencent, Megvii, and Horizon. Comfortable moving between theory and production, he has applied RL and multi-modal reasoning to large-scale models and real-world driving stacks. Based in Mountain View, he blends rigorous academic training with hands-on engineering, and outside work he plays the cello, hits the tennis courts, and writes rap—evidence of a creative approach to problem solving.
8 years of coding experience
5 years of employment as a software developer
Doctor of Philosophy - PhD Electrical and Computer Engineering | Decision Information and Communication Engineering (DICE), Doctor of Philosophy - PhD Electrical and Computer Engineering | Decision Information and Communication Engineering (DICE) at Cockrell School of Engineering, The University of Texas at Austin
Exchange Engineering, Exchange Engineering at University of Cambridge
Summer Session Business, Summer Session Business at University of California, Berkeley, Haas School of Business
Bachelor of Science (BS) Mechanical Engineering (Honor), Bachelor of Science (BS) Mechanical Engineering (Honor) at Shanghai Jiao Tong University