Public summary
Seeking a Senior Robotics Perception Engineer specialized in multi-object tracking and state estimation to join an international defense technology start-up in Germany. Work with an agile engineering team developing autonomous systems that counter security threats, including drone swarms, using cutting-edge AI and robotics technologies. The role focuses on delivering production-ready software for challenging, real-world environments, collaborating across multidisciplinary teams, and shaping perception system architecture while driving technical decisions. The position requires strong experience in C++/Python development, ROS/ROS2, and deploying robotics software on embedded systems. Fluency in English is required; knowledge of German is not necessary.
Location and work setup
- Location
- Munich
- Remote status
- On-site
- German requirement signal
- No German Required Detected
- Detected job language
- English
Responsibilities
Lead the technical direction and development of multi-object tracking and perception capabilities in autonomous robotic systems. Design and optimize robust tracking pipelines for dynamic, GPS-denied environments. Define architectures for state estimation and multi-sensor fusion. Develop probabilistic estimation and optimization algorithms. Manage sensor calibration pipelines for complex sensor setups. Evaluate and integrate new technologies to enhance system performance. Collaborate with autonomy, controls, and middleware teams for seamless integration. Mentor engineers through reviews and technical discussions. Deploy and validate algorithms in simulation and on embedded robotic hardware. Lead debugging and validation during field tests and improve system robustness continuously.
Qualifications
Extensive software development skills in C++ and Python with experience in ROS and ROS2. Strong background in robotics perception, computer vision, state estimation, and production-grade robotics software deployment. Solid mathematical foundation in estimation, optimization, and probabilistic methods. Proven ability to lead complex technical projects and work across multidisciplinary teams. Experience debugging and deploying software on real robotic platforms. Fluency in English is mandatory. Preferred qualifications include expertise in multi-object tracking, sensor fusion techniques, Visual SLAM, Kalman filtering, embedded GPU platforms (e.g., Nvidia Jetson), CUDA, TensorRT, Docker, and CI/CD pipelines. A PhD in a relevant field and experience with autonomous or defense systems is an advantage. Candidates must be from a NATO member country or close ally.