Kenny Tang is a GPU Architect Engineer at NVIDIA with a decade of hands-on experience spanning full-stack web, mobile, cloud, and embedded systems. He blends low-level design skills in C/C++ and Verilog with modern cloud and front-end tooling (Python, Go, TypeScript, Vue, AWS), enabling him to bridge hardware architecture and developer-facing productivity tools. His background includes GPU architecture intern and internal tooling work at NVIDIA, full-stack/cloud development for cardiac MRI segmentation during graduate research, and building NLP pipelines at AWS. Kenny has repeatedly improved team productivity by creating internal web interfaces and automations, and he brings practical concurrency and testing expertise from industry internships. Based in San Jose, he combines academic rigor from UT Austin and UC Irvine with production experience across silicon, cloud, and user-facing applications. An engineer who moves easily between chip-level concerns and scalable software systems, he often surfaces practical tooling gaps and ships pragmatic solutions.
10 years of coding experience
11 years of employment as a software developer
Bachelor of Science - BS, Computer Engineering, Bachelor of Science - BS, Computer Engineering at Cockrell School of Engineering, The University of Texas at Austin
High School Diploma, Computer Science, Engineering, High School Diploma, Computer Science, Engineering at Round Rock High School
Contributions:58 commits, 1 PR, 65 pushes in 2 months
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