Andy Günther

Led end-to-end integration and performance of RF sensing systems, from requirements to validation and series support. Analysed RF interference, signal propagation, attenuation, distortion, and multipath effects in complex environments. Defined KPI-based validation strategies, optimised calibration and alignment, translated operational scenarios into measurable requirements, and coordinated cross-functional hardware, software, and supplier integration to ensure robust system performance.

As a Radar Engineer, I am responsible for the performance and integration of radar-based ADAS from development through series production. I define system requirements, lead validation and testing of software and algorithms, manage KPI-driven performance optimisation, validate vehicle-sensor integration and communication, and support quality assurance activities. I use test and field data to improve system robustness and ensure reliable operation throughout the product lifecycle

Research Associate in autonomous driving research, focusing on sensor systems and localization. Led LiDAR integration into research vehicles, including system architecture, sensor placement, and vehicle implementation. Developed perception sensor concepts and hardware setups, integrated sensor software into vehicle and test environments, and supported localization development. Conducted validation and performance evaluation of sensor systems and localization robustness.

Development Engineer specialising in sensor characterisation, validation, and modelling for automotive perception systems. Developed LiDAR test environments, analysed sensor behaviour under real-world and controlled conditions, supported quality assurance for series development, and evaluated prototype sensors to identify limitations. Generated data for simulation models and collaborated with OEMs and suppliers on sensor validation, building a strong foundation in sensing technologies and system validation