Yuhang Lu is a Principal Engineer based in San Diego with 11 years of experience building computer vision and machine learning systems, currently focused on Physical AI foundation models at NVIDIA. He previously led VLA models and online BEV mapping for self-driving vehicles at XPENG, and has a strong research background in image segmentation, multi-view 3D reconstruction, and unsupervised geometric estimation from internships and doctoral work. Yuhang holds a doctorate from the University of South Carolina and has blended academic rigor with product-driven engineering across industry and research labs. He has a track record of moving novel vision ideas—like transformer- and GAN-based homography estimation and cross-domain few-shot segmentation—toward scalable implementations for autonomous systems. Practical experience ranges from one-shot medical segmentation and structured landmark detection to large-scale multi-trip video reconstruction, showing a pattern of solving hard perception problems end-to-end. Colleagues describe him as someone who bridges deep research insight with production-grade engineering to accelerate perception stacks in real-world robotics and autonomy.
10 years of coding experience
8 years of employment as a software developer
Master's degree, Master's degree at Wuhan University
Bachelor's degree, Bachelor's degree at Chengdu University of Technology
Doctor's Degree, Doctor's Degree at University of South Carolina
Contributions:10 commits, 7 pushes, 1 branch in 1 day
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Yuhang Lu - Staff Machine Learning Engineer at XPENG