Maximilian Geißlinger
Staff I Robotics Software Engineer at Filics
Munich, Bavaria, Germany
Summary
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Senior🎓
Top SchoolMaximilian Geißlinger is a Staff Robotics Software Engineer based in Munich with nine years of experience building autonomous vehicle systems from research to product. He led TUM’s Intelligent Vehicle Systems team—growing it to 15+ PhD researchers, securing funding, teaching AI in automotive tech, and delivering a winning Indy Autonomous Challenge entry awarded $1M. His PhD produced a novel, ethics- and risk-aware motion planning framework aligned with EU requirements, and his master’s work yielded a widely cited camera–radar fusion algorithm for automotive perception. At Filics he advanced quickly through engineering levels into a staff role, translating cutting-edge research into production-grade robotics software. Pragmatic and methodical, he combines systems-level leadership with hands-on algorithm and software development across perception, planning, and vehicle integration.
9 years of coding experience
7 years of employment as a software developer
Dr.-Ing. (PhD) Robotics and Software Engineering, Dr.-Ing. (PhD) Robotics and Software Engineering at Technical University of Munich
Github Skills (14)
autonomous-driving9
algorithm8
robotics6
cpp5
prediction5
ros-driver4
pooling4
ros4
gigevision3
middleware3
zenoh3
basler2
deep-learning2
edge-computing2
Programming languages (3)
Github contributions (5)
TUMFTM/EthicalTrajectoryPlanning
Jun 2022 - Jan 2023
An Ethical Trajectory Planning Algorithm for Autonomous Vehicles
Contributions:1 release, 12 commits, 10 pushes in 7 months
autonomous-drivingethicsplanningrisktrajectory
Fellfalla/nuscenes-devkit
Jan 2019 - Oct 2019
The dev-kit of the nuScenes dataset.
Contributions:8 commits, 7 pushes in 8 months
dev-kitdatasetnuscenesdev
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