Summary
Yang Song is a Senior Solution Architect and algorithm specialist with 11 years of experience building AI-native cloud solutions and ADAS/autonomous driving software for automotive and manufacturing customers. Based in Frankfurt, he blends deep algorithm development (C++, Python, ROS) and vehicle-cloud SaaS architecture with hands-on cloud presales and solution design at Alibaba Cloud. His background spans algorithm work for robotaxi systems at Aptiv, data closed-loop management and AWS-based ADAS platforms, plus early-stage motion planning research and a PhD in Computer Science—bridging rigorous research with production engineering. He is known for translating complex vehicle perception and autonomy requirements into reusable cloud architectures and competitive, scalable solutions. An uncommon strength is his combined expertise across edge autonomy stacks and enterprise cloud adoption, enabling rapid prototyping to deployment for safety-critical systems.
11 years of coding experience
16 years of employment as a software developer
Bachelor's Degree Electrical and Electronics Engineering, Bachelor's Degree Electrical and Electronics Engineering at China University of Geosciences
Self-Driving Car Engineer Nanodegree, Self-Driving Car Engineer Nanodegree at Udacity
Master of Science (MS) Electrical and Electronics Engineering, Master of Science (MS) Electrical and Electronics Engineering at The University of New Mexico
Ph.D. Computer Science, Ph.D. Computer Science at University of South Carolina
English, Chinese