Jay Yang is a Chief Architect with 11 years of experience building simulation, synthetic data systems, and deep learning solutions for self-driving and embodied AI. He has led simulation and log-replay platforms at NIO and NVIDIA that accelerated AD development by improving reproducibility and closing the loop between road data and verification. At Lightwheel AI he now focuses on scalable synthetic-data pipelines and algorithms to better train and validate autonomous systems. His background spans hands-on ML engineering, system architecture, and productizing developer tooling—skills honed from founding roles in data engineering to solutions work with OEMs in China. Based in Shanghai with an engineering degree in mechanical engineering, he brings a blend of physical-systems intuition and software-first thinking that helps bridge perception, simulation, and real-world deployment. An uncommon strength is his track record of shipping simulation-as-a-service tooling that integrates deeply into daily developer workflows to shrink debugging and validation cycles.
11 years of coding experience
11 years of employment as a software developer
Engineer’s Degree Mechanical Engineering, Engineer’s Degree Mechanical Engineering at Central South University
Contributions:22 commits, 11 pushes, 1 branch in 7 months
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