Nathaniel Garcia
About Nathaniel Garcia
Nathaniel Garcia is a Yield Software Applications Engineer at ON Semiconductor in the Philippines, where he has worked since 2018. He specializes in developing methods for visualizing forecasts and has a background in yield analysis and automation from previous roles at QUALTERA and Analog Devices.
Work at ON Semiconductor
Nathaniel Garcia has been employed at ON Semiconductor since 2018, serving as a Yield Software Applications Engineer. In this role, he has developed a method utilizing Sequoia Scripting and R programming to create visualizations and presentations of forecasts for top products. This work directly impacts yield scrap costs and aids in strategic business decisions. He has also implemented deep learning AI techniques for predictive analytics within yield data systems, contributing to the optimization of engineering resource allocation.
Previous Experience at QUALTERA
Before joining ON Semiconductor, Nathaniel Garcia worked at QUALTERA as an Application Integration Engineer from 2015 to 2018. During his tenure, he created automated weekly yield versus volume reports for business unit product engineers and managers. This automation enhanced efficiency in report generation. He also utilized Exensio correlation to fine-tune and recommend new wafer sort test limits, which improved final test yield.
Early Career at Analog Devices and ON Semiconductor
Nathaniel Garcia began his career as a Test Product Engineer at Analog Devices, where he worked for one year from 2000 to 2001. He then returned to ON Semiconductor, where he served as a Senior Test Engineer from 2004 to 2015 for eleven years. His extensive experience in these roles provided him with a solid foundation in yield management and testing processes.
Education and Expertise
Nathaniel Garcia studied Electronics and Communications at the University of Saint La Salle, where he earned his engineering degree from 1995 to 2000. He is also certified as an Optimal+ 'Train The Trainers' instructor, regularly conducting training sessions for managers and engineers on the use of Exensio and Optimal Plus tools for big data capabilities.
Achievements in Yield Management
Throughout his career, Nathaniel Garcia has generated several 'Big-Impact' product yield reports for top devices, which significantly reduced scrap costs. He developed automated calculations for hold and scrap yield limits, providing weekly report recommendations to business unit product engineers. His contributions have enhanced overall efficiency and decision-making within the organizations he has worked for.