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Hsu-Chieh Hu has a diverse work experience in various roles and industries. Hsu-Chieh is currently employed as a Senior Software Developer at Miovision since November 2022. Prior to this, they worked at Rapid Flow Technologies as a Senior Research Scientist from May 2019 to November 2022, where they developed a heuristic scheduling/online planning algorithm for a lane-based model in real-time traffic signal control. Hsu-Chieh also gained research experience as a Research Assistant at Carnegie Mellon University from September 2013 to February 2019, focusing on the combination of decision-making, deep reinforcement learning, and planning for infrastructures. Additionally, they served as a Teaching Assistant during January 2014 to June 2014. Hsu-Chieh Hu also worked as a Robotics Engineering Intern at Fetch Robotics in June 2018-August 2018, where they contributed to developing a decentralized framework for multi-robot coordination. Hsu-Chieh started their career as a Software Engineer at MediaTek from September 2010 to September 2013, working on 4G LTE Radio Resource Control and 3G UMTS Medium Access Control Software. Hsu-Chieh began their professional journey as a Research Assistant at National Taiwan University from September 2009 to June 2010, where they collaborated on a project related to multicast broadcast service standardization.

Hsu-Chieh Hu pursued their education in various prestigious institutions. Hsu-Chieh began their academic journey in 2004 at National Taiwan University, where they earned a Bachelor's degree in Electrical and Electronics Engineering in 2008. Following this, they enrolled in National Taiwan University again, obtaining a Master's degree in Communications Engineering from 2008 to 2010.

In 2013, Hsu-Chieh Hu continued their educational pursuits at Carnegie Mellon University in the field of Computer Engineering. Hsu-Chieh embarked on a Ph.D. program and successfully completed their Doctor of Philosophy (PhD) in Computer Engineering in 2019. During their time at Carnegie Mellon University, they also pursued a Master of Science in Machine Learning from 2017 to 2019.

Hsu-Chieh Hu's educational background showcases their dedication and expertise in the fields of Electrical and Electronics Engineering, Communications Engineering, Computer Engineering, and Machine Learning.