Martin Tremblay
About Martin Tremblay
Martin Tremblay is a Firmware Engineer at Zendar, where he has worked since 2022. He has extensive experience in embedded system firmware, having held various engineering roles at companies such as IBM, Moog, and Foxeye Robotics.
Work at Zendar
Martin Tremblay has been employed at Zendar as a Firmware Engineer since 2022. In this role, he focuses on developing and optimizing firmware for embedded systems. His responsibilities include board bring-up, prototyping, testing, and debugging, which are critical for ensuring the functionality of embedded software.
Previous Employment History
Prior to his current position, Martin Tremblay held various engineering roles in different companies. He worked at IBM as a Development Engineer in the Hard Disk Drive Division for one year from 1998 to 1999. Following that, he spent nine years at Berkeley Process Control as a Software Engineer from 1999 to 2008. He then worked at Moog as a Senior Software Engineer for five years from 2008 to 2013, and later at Ekso Bionics as a Senior Controls Engineer from 2014 to 2017. His career also includes positions at Raydiance, Inc., QT Ultrasound LLC, and Foxeye Robotics as a Senior Software Engineer.
Education and Expertise
Martin Tremblay earned a Bachelor of Science in Mechanical Engineering (BSME) from McGill University, where he studied from 1992 to 1996. He furthered his education at the University of Washington, obtaining a Master of Science in Mechanical Engineering (MSME) with a focus on System Modeling and Controls Theory from 1996 to 1998. His educational background supports his expertise in automation and motion control technologies, including CAN and EtherCAT.
Technical Skills
Martin Tremblay is proficient in multiple programming languages, including C, C++, Python, and Java. He specializes in embedded system firmware, particularly in board bring-up, prototyping, testing, and debugging. He has experience with Real-Time Operating Systems and Linux, which are essential for embedded software development. Additionally, he is knowledgeable in working with hardware platforms such as ARM Cortex-M3 (STM32), Cortex-A8 (Sitara), and Delfino DSP.