Zhuangzhuang Ding
Senior Staff Software Engineer at Xmotors.ai
California, United States
Summary
👤
Senior🎓
Top SchoolZhuangzhuang Ding is a Senior Staff Software Engineer with 9 years of experience building perception and predictive world models for autonomous vehicles, currently driving predictive world model work at Xmotors.ai. He has deep expertise in 3D perception, semantic occupancy grids, sensor integration, and real-time systems from roles at Cruise, Horizon Robotics, Momenta.ai and academic work at Penn State. Comfortable across C++, Python and embedded platforms (NVIDIA Jetson, NXP), he has repeatedly delivered production-ready perception and driver monitoring systems. Born in Beijing and educated at Zhejiang University and Penn State, he blends rigorous electrical engineering foundations with hands-on software engineering in California’s autonomy ecosystem. Colleagues rely on him to bridge algorithm research and system deployment, turning complex sensor and ML stacks into reliable vehicle-level functionality. An unassuming detail: he has hands-on experience integrating SLAM data pipelines and error-detection systems for multimodal sensor rigs, a practical skill that speeds real-world validation.
9 years of coding experience
7 years of employment as a software developer
Master's degree Electrical and Electronics Engineering, Master's degree Electrical and Electronics Engineering at Penn State UniversityBachelor's degree Electrical and Electronics Engineering, Bachelor's degree Electrical and Electronics Engineering at Zhejiang University
Japanese, Chinese, English
Github Skills (38)
spark10
job-scheduler10
big-data10
typescript10
data-ingestion10
react10
antd9
cdc9
ui-design9
multimodal9
payment9
agile9
task-scheduler9
streaming9
high-performance9
Programming languages (4)
Github contributions (5)
baidushanxi/tt-overtrue
Aug 2019 - Aug 2020
tt-overtrue
Contributions:14 commits, 2 PRs, 11 pushes in 1 year
overtrue
lizc9/paimon
Dec 2024 - Sep 2025
Apache Paimon is a lake format that enables building a Realtime Lakehouse Architecture with Flink and Spark for both streaming and batch operations.
Contributions:43 pushes, 3 branches in 8 months
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