Pei Tian
Senior CUDA SWQA Engineer at NVIDIA
Shenzhen, Guangdong Province, China
Summary
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Senior🎓
Top SchoolPei Tian is a Senior CUDA SWQA Engineer at NVIDIA with eight years of experience bridging embedded wireless research and high-performance software testing. With a PhD in Signal and Information Processing and a strong academic record, Pei has published in top conferences and led research improving the reliability of LoRa-based multi-hop and low-power wide-area networks. Past roles at Technische Universität Graz and the Shanghai Advanced Research Institute focused on performance optimization and real-world applicability of wireless systems, giving Pei deep domain expertise in IoT connectivity and protocol robustness. Now applying that research mindset to CUDA software quality assurance, Pei brings a rare combination of academic rigor and hands-on engineering. Based in Shenzhen, Pei is comfortable translating complex signal-processing concepts into scalable test strategies and automation for GPU-accelerated platforms. Colleagues describe Pei as a meticulous problem-solver who pairs strong theoretical insight with pragmatic delivery.
8 years of coding experience
3 years of employment as a software developer
Bachelor's degree, Electrical, Electronics and Communications Engineering, 3.98/5.00 (Ranked top 2% out of 113 students in ECE department), Bachelor's degree, Electrical, Electronics and Communications Engineering, 3.98/5.00 (Ranked top 2% out of 113 students in ECE department) at Donghua UniversityPhD, Signal and information processing, PhD, Signal and information processing at University of Chinese Academy of Sciences
Chinese, English
Github Skills (5)
reference-implementation8
lorawan7
iot5
lora5
ttn2
Programming languages (1)
Github contributions (5)
chirpbox/chirpbox.github.io
Dec 2020 - Dec 2022
Contributions:6417 pushes in 2 years
pei-tian/pei-tian.github.io
Oct 2020 - Apr 2025
Contributions:194 pushes, 3 branches in 4 years 6 months
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