Chin Gian Hooi

Chin Gian Hooi's work experience includes various roles in different companies.

From 2020 onwards, Chin Gian Hooi worked at Joby Aviation as a Navigation Algorithms Software Lead.

From 2019 to 2020, Chin Gian Hooi worked at Auro (AV division of Ridecell) as a Senior Software Engineer. In this role, they were responsible for architecting and programming L4 empty vehicle automation software, selecting sensors and optimizing their placement, designing multi-computer architecture, and conducting software interviews.

From 2018 to 2019, Chin Gian Hooi worked at Kitty Hawk as a Development Engineer. They prototyped LiDAR/camera odometry, developed software, integrated sensors for decacopters, and worked on landing-zone obstacle detection and precision landing.

From 2015 to 2017, Chin Gian Hooi worked at Rockwell Collins as a Software Engineer. They were involved in developing, verifying, and awarding TSO for the first FPGA-based aerospace GNSS/GPS, as well as prototyping inertial-GNSS-blended algorithms and evaluating inertial sensors for an inertial reference system.

From 2012 to 2015, Chin Gian Hooi worked at Xronz as a Lead Software and Control Engineer. They led a team in designing and testing a pocket-sized quadcopter controlled by a smartphone, formulated control algorithms, and designed software architecture.

From 2013 to 2015, Chin Gian Hooi worked at the University of Maryland College Park as a Graduate Research Assistant. They conducted research on rotorcraft shipboard landing, including developing a differential pressure sensing framework and implementing a flow-estimation-based closed-loop control framework.

Chin Gian Hooi obtained a Master's Degree in Aerospace Engineering from the University of Maryland from 2013 to 2015. Prior to that, they completed their Bachelor of Science in Aerospace, Aeronautical, and Astronautical Engineering from Embry-Riddle Aeronautical University from 2008 to 2013. Additionally, they obtained a certification in Self-Driving Car Nanodegree from Udacity in November 2017.