Summary
Jingde Chen is a research scientist at NVIDIA with eight years of experience focused on AV perception, end-to-end planning, DNN optimization, and AI systems engineering. He progressed from intern and research engineer roles into applied AV research in NVIDIA’s Spatial Intelligence Lab, bringing hands-on expertise in building perception pipelines and infrastructure for autonomous vehicles. His academic foundation—MS in Computer Engineering from Carnegie Mellon and a 3.9/4.0 BS from UIUC—complements applied work, including a published project on ML for load balancing in the Linux kernel. Jingde blends research rigor with production-minded engineering, often bridging prototype models to scalable infra. Based in California and carrying the pragmatic ethos of "Illini-Tartan," he pairs deep technical depth with a track record of shipping real-world AV research.
8 years of coding experience
6 years of employment as a software developer
Minor, Informatics, Minor, Informatics at University of Illinois Urbana-Champaign
Master of Science - MS, Computer Engineering, Master of Science - MS, Computer Engineering at Carnegie Mellon University
High School Diploma, High School Diploma at Guangzhou Zhixin High School