Dr. André Malz is a seasoned system architect expert with over 20 years of experience in developing complex electronic and optoelectronic system architectures. He started his career in the medical device industry, where he contributed to Carl Zeiss Meditec’s OCT (optical coherence tomography) development and their flagship “Cirrus 6000”. He then worked for the global automotive Tier-1 companies Harman and Aptiv. From 2015 to 2018, as lead systems engineer at Harman, he was responsible for automotive infotainment systems and ADAS systems and coordinated a development team with systems, software, hardware, mechanics, testing/validation, and functional safety. In 2019 he joined APTIV as “Driving Functions” function owner for their automated driving stack. Prior to joining LeddarTech as strategic product manager he worked for the LiDAR company RoboSense, building their automotive customer base for the EMEA region. André has a strong passion to make safe automated driving part of our daily lives.

LeddarTech is a leader in environmental sensing platforms for autonomous vehicles and advanced driver assistance systems. Founded in 2007, LeddarTech has evolved to become a comprehensive end-to-end environmental sensing company by enabling customers to solve critical sensing and perception challenges across the entire value chain of the automotive and mobility market segments. With its LeddarVision™ sensor-fusion and perception platform and its cost-effective, scalable, and versatile LiDAR development solution for automotive-grade solid-state LiDARs based on the LeddarEngine™, LeddarTech enables Tier 1-2 automotive system integrators to develop full-stack sensing solutions for autonomy Level 1 to 5. These solutions are actively deployed in autonomous shuttle, truck, bus, delivery vehicle, smart city/factory, and robotaxi applications. The company is responsible for several innovations in cutting-edge automotive and mobility remote-sensing applications, with over 95 patented technologies (granted or pending) enhancing ADAS and autonomous driving capabilities.