Shuang Liu
Product Development Engineer at 英特尔
Pudong, Shanghai, China
Summary
👤
Senior🎓
Top SchoolShuang Liu is a Product Development Engineer with eight years' experience across leading semiconductor firms including Intel and Yangtze Memory Technologies, combining deep device physics and fab/process expertise with hands-on yield and failure analysis. He holds a Ph.D. in Materials Science and brings strong data-analysis and automation skills—JMP/JSL, Excel/VBA, Perl, Python and C—to bridge lab, fab, and product teams. At Intel he focuses on translating complex semiconductor test data into actionable product improvements, and earlier roles honed his end-to-end knowledge from chip tests to yield optimization. Unusually for a hardware-focused engineer, he contributes to open-source autonomous driving software (Apollo), implementing Responsibility Sensitive Safety checks—demonstrating a practical interest in safety-critical systems and software integration. Fluent in spoken English and based in Pudong, Shanghai, he thrives at the intersection of technical problem solving and cross-functional collaboration.
8 years of coding experience
6 years of employment as a software developer
Doctor of Philosophy (Ph.D.), Materials Science, Doctor of Philosophy (Ph.D.), Materials Science at Shanghai Institute of Optics and Fine Mechanics
Chinese, English
Github Skills (7)
c-language10
cprogramming-language10
autonomous-driving10
data-structure9
data-structures9
algorithms8
python4
Programming languages (2)
Github contributions (5)
ApolloAuto/apollo
Nov 2018 - Apr 2019
An open autonomous driving platform
Role in this project:
Back-end Developer
Back-end DeveloperContributions:27 commits, 4 PRs, 14 comments in 4 months
Contributions summary:Shuang contributed to the RSS (Responsibility Sensitive Safety) library, implementing and integrating safety features into the Apollo autonomous driving platform. Their work focused on defining and implementing data structures for representing various driving situations, including lateral and longitudinal positions, and implementing code for checking RSS compliance. The commits demonstrate a focus on safety and adherence to RSS principles for autonomous vehicle behavior, with the addition of RSS information to the trajectory.
autonomousmachine-learningautonomyautonomous-drivingapollo
l1212s/helllo-world
Apr 2018 - Nov 2018
Contributions:1 push, 2 branches in 7 months
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.