Aimee Ferouge
About Aimee Ferouge
Aimee Ferouge is a Senior Software & Tools Engineer at GrAI Matter Labs, where she focuses on developing software stacks for AI engines and neuromorphic computing solutions. She holds a Master of Science in Embedded Systems and has experience in both software engineering and ownership of a business.
Work at GrAI Matter Labs
Aimee Ferouge has been employed at GrAI Matter Labs since 2021, currently holding the position of Senior Software & Tools Engineer. In this role, she focuses on ultra-low power, fully programmable neuromorphic computing solutions that are powered by brain-inspired technology. Her responsibilities include developing software stacks that drive AI engines embedded in the company's product System on Chips (SoCs). Prior to her current position, she worked as a Software & Development Tools Engineer at the same organization from 2018 to 2021.
Education and Expertise
Aimee Ferouge earned her Master of Science (MSc) in Embedded Systems from Technische Universiteit Delft, studying from 2013 to 2015. She also holds a Bachelor of Science (BSc) in Electrical and Electronic Engineering from the same institution, which she completed from 2009 to 2013. Earlier, she obtained a VWO diploma from St.-Ignatiusgymnasium, focusing on Natuur & Techniek and Natuur & Gezondheid, along with Latin, from 2003 to 2009.
Background
Before joining GrAI Matter Labs, Aimee Ferouge worked at Intel Corporation as an Imaging Firmware Engineer from 2016 to 2018. Her experience spans various roles in software engineering, specifically in the development of tools and solutions for neuromorphic computing. Additionally, she has been the owner of Georgies Home since 2017, operating in Eindhoven.
Achievements in Neuromorphic Computing
Aimee Ferouge has contributed significantly to the field of neuromorphic computing. She has been involved in architecting, designing, and implementing industry-strength compilers, constraint solvers, simulators, debuggers, and integrated development environments (IDEs). Her work includes optimizing software for various artificial intelligence hardware blocks and neural networks, as well as developing AI applications for heart-rate monitoring, video analytics, and autonomous driving.