Ofertas › autonomous-teaming
autonomous-teaming · Munich, Germany · 40.000 - 80.000 € per year
Salary: 40.000 - 80.000 € per year Requirements: Strong C++ and Python development skills Extensive experience with ROS/ROS2 Strong background in robotics perception, computer vision, and state estimation Proven experience developing and deploying production-grade robotics software Excellent mathematical foundations in estimation, optimization, and probabilistic methods Proven ability to independently drive complex technical workstreams Experience deploying and debugging software on real robotic platforms Ability to influence technical decisions and collaborate across multidisciplinary teams Fluent English Advantages include experience with Multi-Object Tracking, sensor fusion, Visual SLAM, Visual-Inertial Odometry, Kalman filters, GTSAM, Ceres or similar optimization frameworks, camera geometry and multi-camera systems, OpenCV, embedded GPU deployment (Jetson), CUDA/TensorRT, Docker, CI/CD, and Linux Nice to have: PhD in Robotics, Computer Vision, State Estimation, or a related field; experience with autonomous or defense systems, synthetic data generation, distributed robotic systems, or deploying perception algorithms in challenging outdoor environments Builder mentality: ships working solutions rather than theoretical concepts Hands-on ownership and a proactive approach to solving problems beyond direct scope Field-driven mindset focused on performance in real operations High engineering quality bar, with a focus on reliability, determinism, and clarity Startup drive and ability to execute quickly despite ambiguity and adapt Genuine motivation to work on defense-relevant, safety-critical robotics Nationality of a NATO member nation or close ally is required Responsibilities: Drive the technical direction of our Multi-Object Tracking and perception capabilities Design, develop, and optimize robust multi-object tracking pipelines for dynamic environments Define scalable architectures for state estimation and multi-sensor fusion systems Develop probabilistic estimation and optimization algorithms for real-world robotics applications Own the development of intrinsic and extrinsic calibration pipelines for complex sensor configurations, including zooming camera systems Evaluate and introduce algorithms, tools, and technologies to improve tracking performance and robustness Work with autonomy, controls, and middleware teams to integrate systems end to end Mentor and support engineers through technical discussions, architecture reviews, and code reviews Deve