Summary
David Losteiner is a Senior Embedded Software Engineer with 12 years of experience specializing in machine vision, perception, lidar, and machine learning for automotive systems. He has a strong embedded C/C++ and Python background and a track record of delivering production-grade vision algorithms and fusion software within Bosch’s automated driving projects and ADAS pipelines. David’s work spans algorithm design, SIL/HIL integration, and target-specific optimization, bringing practical knowledge of tools like Lauterbach debuggers and ADTF frameworks. He has deep experience in safety-critical automotive domains (MISRA-C, AUTOSAR, CAN/FlexRay) and has built automated test frameworks and CI-enabled workflows from the ground up. Now based in Hungary and currently at UNIX Autó, he blends academic research roots in video surveillance and gesture recognition with hands-on product engineering. Colleagues value him for translating complex perception research into efficient, deployable embedded solutions.
12 years of coding experience
17 years of employment as a software developer
MSc Electronic and Computer Engineering, MSc Electronic and Computer Engineering at Pázmány Péter Katolikus Egyetem
English, German, Hungarian, Greek