Xi Cheng is a Senior System Software Engineer with 11 years' experience specializing in ADAS/AD systems, currently contributing to NVIDIA from Munich. He blends deep embedded and system-software expertise (C/C++, C, Matlab) with safety-critical automotive experience—developing ASIL-D compliant functions, ROS-based validation frameworks, and sensor-fusion/semantic-segmentation prototypes. His background spans chipset-level mobile baseband work (Intel) through autonomous driving platform development for OEM highway pilot projects (TTTech Auto/BMW), showing a rare combination of telecom-grade protocol engineering and modern autonomous systems design. Xi applies Clean Code and TDD practices, HPC-accelerated ML tuning, and cross-functional collaboration in large-scale Scrum, and has a strong academic foundation with an MS from RWTH Aachen and an autonomous-driving nanodegree. Notably, he has driven measurable system improvements—from optimizing mobile cell-search algorithms to launching products in major consumer devices—highlighting a pragmatic focus on performance and reliability.
11 years of coding experience
13 years of employment as a software developer
Self-Driving-Car Nanodegree, Advanced Driver Assistance Systems , Machine Learning, Deep Learning, https://profiles.udacity.com/p/1154738666, Self-Driving-Car Nanodegree, Advanced Driver Assistance Systems , Machine Learning, Deep Learning, https://profiles.udacity.com/p/1154738666 at Udacity
Bachelor's degree, Information Engineering, 85/100, Bachelor's degree, Information Engineering, 85/100 at Huazhong University of Science and Technology
Master of Science - MS, Master of Science - MS at RWTH Aachen University
Master, Communication Engineering, 1.9 (as 90/100 in U.S), Master, Communication Engineering, 1.9 (as 90/100 in U.S) at Rheinisch-Westfälische Technische Hochschule Aachen
Contributions:58 commits, 51 pushes, 1 branch in 2 months
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Xi Cheng - Senior System Software Engineer at NVIDIA