George Tang is a Senior Deep Learning Engineer with a decade of experience building perception and low-latency systems for autonomous driving and trading. He has moved between top-tier AI and embedded vision teams—most recently at NVIDIA on Vehicle Level Autonomy and previously on Tesla’s Autopilot Vision—bringing research-grade models into production. An MIT-trained engineer, he blends rigorous academic grounding with hands-on internships at Citadel Securities and NVIDIA that honed his skills in low-latency software and real-world perception stacks. Colleagues rely on him to navigate the boundary between research experiments and safety-critical, high-throughput deployment. Notably, his career shows an early pattern of returning to NVIDIA in progressively senior roles, reflecting both deep domain expertise and strong industry recognition.
10 years of coding experience
1 year of employment as a software developer
Masters of Engineering, Computer Science, Masters of Engineering, Computer Science at Massachusetts Institute of Technology
High School Diploma, High School Diploma at Thomas Jefferson High School for Science and Technology
Contributions:16 commits, 40 pushes, 1 branch in 1 year 8 months
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George Tang - Senior Deep Learning Engineer at NVIDIA