Summary
Jun Jiang is a software engineer and researcher with 11 years of experience specializing in robotics, sensor data analysis, image processing, and AI-driven mapping workflows. Based in Sunnyvale, he has driven generative AI and multi-agent systems at Woven by Toyota, built vehicle map data pipelines, and designed ISP algorithms for DJI camera chips. Currently a Visiting Researcher at The University of Tokyo, Jun explores evolutionary Spiking Neural Network controllers and develops agentic AI coding workflows that bridge physical simulation and architectural search. He combines academic rigor from a Master’s in Precision Engineering with hands-on product impact across automotive and robotics platforms. Outside work he’s an avid reader of biographies and brings curiosity about human behavior into human-centered system design—plus he can run 10km weekly and cook a mean grilled cold noodle. An early focus on human motion pattern recognition reveals his long-standing interest in making machines understand people, not just data.
11 years of coding experience
5 years of employment as a software developer
University of Tokyo
Bachelor's degree Mechanical Engineering & Japanese, Bachelor's degree Mechanical Engineering & Japanese at Dalian University of Technology
English, Japanese, Chinese