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Ready to push the limits of what’s technically possible? Together, we enter a new era of intelligent machines, with you as a driving force:
Localization: Choose tune, integrated, and adapt robust localization and SLAM pipelines using multi-sensor fusion (LiDAR, cameras, IMU, wheel odometry) within the ROS2 framework
Path planning: Chose, tune, integrate and adapt path planning and obstacle avoidance algorithms for safe navigation around people and obstacles
Autononmy: Develop behavior- and decision logic that enables the robot reacting to the various challenges of navigation in complex and dynamic environments
Full-body-motion: Integrate navigation with manipulation workflows for coordinated mobile manipulation tasks
Testing and validation: Test and validate the navigation and localization in Isaac Sim
Teamplayer: Work in a multi-disciplinary and agileteam and actively contribute to the roadmap and future of intelligent robotic systems
An excellent Master’s or PhD in Robotics, Computer Science, Software Engineering, or equivalent
5+ years of professional experience in mobile robot navigation, localization, or autonomous systems
A proven track record: Your projects show measurable impact.
The desire to go beyond the state of the art. You don’t just want to improve, you want to create something new.
Strong proficiency in Python and C++
Solid understanding of SLAM algorithms, state estimation, sensor fusion techniques and path planning
Experience with extending and customizing the Nav2 stack to meet the specific requirements of mobile manipulation (custom recovery behaviors, custom costmap layers integrating with perception...)
Experience with LiDAR, depth cameras, IMUs, and odometry integration
Familiarity with behavior trees and robot state machines
Experience writing tests for robotics systems and working with CI/CD pipelines and Git
Excellent communication skills in English, German is optional but welcome.
