Lichiang Chang

Lichiang Chang

Software Engineer @ TomTom

About Lichiang Chang

Lichiang Chang is a Software Engineer at Tomtom with extensive experience in algorithm design and baseband engineering, specializing in integrating navigation applications on custom embedded Linux platforms.

Current Position at TomTom

Lichiang Chang is currently employed as a Software Engineer at TomTom. He has been with the company since 2018, working in Amsterdam, Noord-Holland, Netherlands. His role involves developing software solutions, with a focus on enhancing and optimizing navigation applications on custom embedded Linux platforms using C++.

Previous Role at Mcube, Inc.

Between 2016 and 2018, Lichiang Chang served as a Senior Algorithm Engineer at Mcube, Inc. in San Jose, California, United States. In this position, he concentrated on developing advanced algorithms, leveraging his expertise in signal processing and software engineering.

Early Career Positions

Lichiang Chang has a diverse background in the technology sector, with roles including Baseband Engineer at Mediatek in Taiwan (2015-2016), Algorithm Design Engineer at Actions Semiconductor in China (2014-2015), and Platoon Commander at the Ministry of National Defense in Taiwan (2012-2013). These positions collectively enriched his skills in various technical domains and leadership.

Educational Background

Lichiang Chang holds a Master's degree in Communication Engineering from National Taiwan University (2010-2012). He also earned a Bachelor's degree in Electronics Engineering from the same institution, where he studied from 2006 to 2012. Furthermore, he pursued Japanese language studies at Jet Academy Japanese Language School between 2013 and 2014.

Technical Specializations and Tools

Lichiang Chang specializes in integrating navigation applications on custom embedded Linux platforms using C++. He has considerable expertise in debugging and troubleshooting third-party libraries such as Qt, Boost, and STL on custom Linux devices. His technical focus also includes optimizing CPU and memory usage, enhancing touch experiences on Linux platforms, and utilizing the gdb tool for analyzing core-dump files.

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