Zhihan Jiang is an engineering manager at NVIDIA with five years of hands-on experience designing high-performance hardware-software systems for deep learning and inference, currently leading efforts on the TensorRT team. He progressed through multiple engineering and senior system engineer roles at NVIDIA after internships beginning in 2016, bringing production-focused expertise across GPU-accelerated software stacks. With an M.S. in Computer Engineering from Stanford and a B.S. from Georgia Tech, he combines strong academic foundations with practical experience tuning models and runtimes for latency- and throughput-sensitive workloads. Colleagues know him for bridging low-level system optimization and team delivery, translating performance research into deployable inference solutions. Though his public GitHub activity is modest, his consistent NVIDIA trajectory and international research internship at NTT hint at a pragmatic engineer comfortable in both research and production environments.
5 years of coding experience
6 years of employment as a software developer
Bachelor's degree Computer Engineering, Bachelor's degree Computer Engineering at Georgia Institute of Technology
Master of Science (M.S.) Computer Engineering, Master of Science (M.S.) Computer Engineering at Stanford University
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