Last Updated: 2025/5/3
Jingbo Gao (高靖博)
Email: gaojingbo0620 at outlook dot com
About Me
- AI processor core designer
- Familiar with computer Arch/µArch, RTL design, formal datapath verification, Verilog/SystemVerilog, and Scripts (Python, Bash, Tcsh, etc.)
Experience
- Senior RTL Design Engineer, Alibaba T-Head Semiconductor, Apr 2025 - Present
- RTL Design Engineer, Alibaba T-Head Semiconductor, Jul 2022 - Apr 2025
- RTL Design Intern, Alibaba T-Head Semiconductor, Jun 2021 - Sep 2021
Education
- MS, Microelectronics and Solid State Electronics (IC Design), Fudan University, 2019 - 2022
- Grade: 3.8 out of 4.0 (Rank 1 out of 47)
- Designed and implemented server-grade NPUs (Neural Processing Units)
- Published a research paper on optimized NPU architecture for lightweight CNN models
- Thesis: FPGA-Based Reconfigurable Accelerator for EfficientNets
- UG Exchange Program, Hong Kong University of Science and Technology, 2018
- Grade: 4.0 out of 4.3
- Courses Taken
- Computer Organization
- Computer Communication Network
- Digital VLSI System Design and Design Automation (for PhD/MPhil)
- IC Fabrication Technology
- Machine Learning
- BE, Microelectronic Science and Engineering, Fudan University, 2015 - 2019
- Grade: 3.5 out of 4.0
- Shanghai Outstanding Graduate Award (Top 5%)
- Published a research paper on TCP/IP offload engine architecture for latency sensitive applications
- Thesis: Design and Implementation of TCP Offload Engine
Selected Publications (Full-List)
- Jingbo Gao, Yu Qian, Yihan Hu, Xitian Fan, Wai-Shing Luk, Wei Cao, Lingli Wang, "LETA: A lightweight exchangeable-track accelerator for EfficientNet based on FPGA", International Conference on Field-Programmable Technology (FPT), 2021. [link]
- Jingbo Gao, Wenbo Yin, Wai-Shing Luk, Lingli Wang, "Scalable multi-session TCP offload engine for latency-sensitive applications", China Semiconductor Technology International Conference (CSTIC), 2020. [link]
Honors & Awards
- 2nd Prize (Top 20%), Integrated Circuit EDA Elite Challenge Competition, 2020
- National 1st Prize (Top 1%), Contemporary Undergraduate Mathematical Contest in Modeling, 2018