Incoming GPU AI Chip Bringup Intern at University of Michigan
Ann Arbor, Michigan, United States
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Summary
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Senior
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Top School
Zhiheng Zhang is a GPU silicon architect and master's student at the University of Michigan, blending a decade of hands-on experience across software and hardware for AI/ML accelerator design. He brings practical expertise from system-level co-design of chiplet-based accelerators and hardware simulation to low-level VLSI bring-up work at NVIDIA. Comfortable across C/C++, SystemVerilog, CUDA, PyTorch and industry EDA tools, he bridges model deployment and performance-aware hardware implementation—having contributed to AI compiler toolchains and MOZART, a hierarchical co-design framework. He has taught computer architecture, developed UVM testbenches and router designs for instruction labs, and contributed to multimodal model training and deployment pipelines. Based in Ann Arbor with roots in Shanghai Jiao Tong University, he combines rigorous academic research with production-oriented engineering and a knack for turning operator-level insights into efficient silicon. Notably, his profile hints at a playful curiosity—“you discovered my treasure”—reflecting a creative, exploratory approach to complex engineering problems.
9 years of coding experience
No.2 High School of East China Normal University
Master of Science - MS, ECE, Master of Science - MS, ECE at University of Michigan
Bachelor of Science - BS, Electrical&Computer Engineering, Bachelor of Science - BS, Electrical&Computer Engineering at Shanghai Jiao Tong University
Contributions:12 commits, 1 PR, 9 pushes in 6 months
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Zhiheng Zhang - Incoming GPU AI Chip Bringup Intern at University of Michigan