David Huang

David Huang is a Software Engineer at Google, based in San Jose, California. He has been with Google since December 2021. Prior to joining Google, he worked at Amazon Web Services (AWS) from October 2020 to December 2021, where he focused on developing machine learning infrastructure and tooling for AWS Sagemaker. Before that, he spent over two years at NVIDIA, where he developed and maintained GPU architecture simulation and verification tools.1

Education

David holds a Bachelor of Science in Electrical Engineering and a Master of Science in Electrical Engineering from the University of Illinois at Urbana-Champaign. He graduated with a GPA of 3.85 during his undergraduate studies.1

Previous Experience

• Boeing: Worked as a Software Engineer from August 2016 to July 2017, focusing on vehicle control software for an autonomous vehicle lab.
• Teaching Assistant: Served for over six years at the University of Illinois, assisting in various computer science and engineering courses.
• Internships: Held multiple internships at companies like Boeing and Qualcomm, gaining experience in software development and testing infrastructure.1

David Huang's diverse background in software engineering, particularly in machine learning and GPU architecture, highlights his expertise and contributions to the field.