Jingyu Qian
Staff Machine Learning Engineer at XPENG
San Jose, California, United States
Summary
👤
Senior🎓
Top SchoolJingyu Qian is a Staff Machine Learning Engineer with a decade of experience building deep learning systems for autonomous driving, currently developing next-generation models at XPENG in San Jose. He blends strong analytical and organizational skills with hands-on expertise in computer vision, motion prediction, and scalable cloud-based training pipelines demonstrated across roles at Horizon Robotics, Inceptio, and Aibee. A patent holder and published researcher (Harvard fMRI work accepted to Frontiers in Systems Neuroscience), he has also earned awards including a Waymo Dataset Challenge placement for motion prediction. While pursuing an M.Eng. in Electrical Engineering at Columbia and serving as a teaching assistant, Jingyu continues to bridge research and production—optimizing inference runtimes, automating multi-GPU workflows, and migrating experimental codebases into company-wide deep learning platforms.
10 years of coding experience
7 years of employment as a software developer
Master of Engineering (M.Eng.) Electrical and Electronics Engineering, Master of Engineering (M.Eng.) Electrical and Electronics Engineering at Columbia UniversityBachelor of Engineering (B.E.) Optics/Optical Sciences, Bachelor of Engineering (B.E.) Optics/Optical Sciences at Zhejiang University
Github Skills (76)
python10
deep-learning10
gpu-acceleration10
autonomous-driving10
ml10
mask-rcnn10
neural-network10
object-detection10
tensorrt10
devkit10
nvidia10
tensorflow10
simulation10
machine-learning10
inference10
Programming languages (4)
Github contributions (5)
HorizonRobotics/nuplan-devkit
Dec 2023 - Feb 2025
Contributions:4 reviews, 3 PRs, 39 pushes in 1 year 2 months
Contributions:3 pushes, 1 branch in 1 year 11 months
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