Summary
Sheng Su is a System Level Test Engineer with 11 years of hands-on experience building and validating complex silicon and embedded systems, currently focusing on SOC characterization, QA, and yield improvement at NVIDIA. He blends a strong academic foundation in computer science, mathematics, and cybersecurity with practical skills in Python-driven data analysis, ML techniques, and test automation (Selenium, Scrapy), enabling data-informed root-cause analysis and process improvements. His background spans embedded firmware in C/C++, front-end UI work, cloud and IoT tooling, and databases (MySQL, DynamoDB, MongoDB), giving him fluency across hardware-software integration points. Known for driving NPI readiness and developing automated test workflows, Sheng routinely partners across ASIC, DFT, fab, and software teams to resolve silicon issues and enhance testability. A detail-oriented engineer, he combines statistical modeling and visualization (Tableau, PowerBI) with low-level Linux testing to surface non-obvious failure modes and reliability improvements.
11 years of coding experience
4 years of employment as a software developer
Bachelor's degree, Computer Science, Bachelor's degree, Computer Science at Penn State University