Jie Huang
About Jie Huang
Jie Huang is an Engineering Manager with extensive experience in software engineering and algorithm design. He has worked at notable companies including Apple, Google, and Huawei, and holds a Master's degree in Physics from the Shanghai Institute of Optics and Fine Mechanics.
Work at TuSimple
Jie Huang currently serves as an Engineering Manager at TuSimple, a role he has held since 2022. His responsibilities include overseeing engineering projects and managing teams to enhance the company's autonomous driving technology. Prior to this position, he worked as a Staff Software Engineer at TuSimple for five months in 2022, contributing to the development of software solutions within the organization.
Previous Experience at Apple
Jie Huang worked at Apple as a Senior Software Engineer in the Maps division from 2011 to 2016. During his five years in Cupertino, California, he focused on developing and enhancing location-based services, leveraging his expertise in algorithm design and performance optimization.
Education and Expertise
Jie Huang holds a Master’s degree in Physics from the Shanghai Institute of Optics and Fine Mechanics, where he studied from 1997 to 2000. He also earned a Bachelor’s degree in Physics from Tsinghua University, studying from 1993 to 1997. His educational background provides a strong foundation for his expertise in algorithm design, location-based services, and system architecture.
Career at Google
From 2016 to 2022, Jie Huang was employed at Google as a Senior Software Engineer. His six-year tenure in Mountain View, California, involved working on complex software systems and contributing to the development of innovative solutions in the tech industry.
Experience in Software Development
Jie Huang has extensive experience in software development, having worked in various roles across multiple companies. He has hands-on experience with REST server development using Play Framework and Jetty. His skills also include proficiency in big-data processing frameworks such as Map-Reduce, Cassandra, and Spark, as well as object-oriented design and generic programming.