Summary
Marc Meißner is an autonomous driving software engineer with nine years of hands-on experience building perception, localization and mapping systems for L2/3+ production vehicles. Based in Munich, he combines ML-driven research (Python, PyTorch, TensorFlow) with production C++ engineering to design probabilistic filters, multi-sensor topology learning, and HD map pipelines deployed and evaluated on real cars. At BMW he moved from internship and thesis work on 3D object detection and pointcloud fusion to leading dataset generation, training orchestration in AWS SageMaker and scalable ML workflows. He is comfortable debugging in-vehicle systems, defining KPIs from data-driven evaluations, and iterating in agile teams. Notably, his background bridges deep learning research and embedded C++ implementation, enabling models to transition from experiments to series software.
8 years of coding experience
Technischen Universität Darmstadt
Master of Science (M.Sc.) Robotics Cognition Intelligence, Master of Science (M.Sc.) Robotics Cognition Intelligence at Technical University of Munich
German, English