Helen (Hee Hyun) Cho
About Helen (Hee Hyun) Cho
Helen (Hee Hyun) Cho is a Senior Systems Engineer with extensive experience in sensor architecture design and automated driving systems. She has worked at notable companies such as Nuro, Uber, and Ike, and holds a Bachelor of Applied Science in Mechatronics, Robotics, and Automation Engineering from the University of Waterloo.
Current Role at Nuro
Helen Cho serves as a Senior Systems Engineer at Nuro, a position she has held since 2022. In this role, she applies her expertise in sensor architecture and automated driving systems. Her responsibilities include overseeing the integration and validation of sensor systems, ensuring they meet the necessary performance standards for autonomous vehicles.
Previous Experience at KETI
Helen Cho worked as a Deep Learning Research Assistant at the Korea Electronics Technology Institute (KETI) for two months in 2018. During her time at KETI, she contributed to research initiatives focused on deep learning applications, enhancing her understanding of advanced technologies in the electronics sector.
Professional Background at Ike
From 2019 to 2021, Helen held the position of Sensor Systems Engineer at Ike in the San Francisco Bay Area. In this role, she participated in all stages of sensor architecture design, including requirements generation, evaluation, integration, and validation. Her work focused on developing sensor systems for automated driving applications.
Education and Academic Background
Helen Cho studied Mechatronics, Robotics, and Automation Engineering at the University of Waterloo, where she earned a Bachelor of Applied Science (B.A.Sc.) from 2013 to 2018. She also participated in a Non-graduating Exchange Program at the National University of Singapore in 2017, further enriching her academic experience in engineering.
Internship Experience at Uber
Helen gained valuable experience as a Camera Engineering Intern at Uber from 2016 to 2017 in Pittsburgh. During her internship, she worked on projects related to camera systems, contributing to the development of technologies that support autonomous driving.