SLAM & Autonomous Navigation Researcher
Core
Develop and integrate autonomous navigation technologies, focusing on SLAM, localization, multi-sensor state estimation, and path planning for real mobile robotic platforms.
Role type
Senior IC robotics researcher (SLAM & autonomous navigation)
Builds
Autonomous navigation stacks for AMRs, agricultural robots, quadrupeds, and other autonomous vehicles
Domain
Robotics, Computer Vision, Automation
Deliverable
production ML models
Required skills
SLAM, robot localization, autonomous mobile robot navigation, ROS/ROS2, C++, Python, sensor fusion, path planning, reactive navigation, obstacle avoidance, LiDAR integration, visual-inertial localization
Preferred skills
Perception for autonomous navigation, LLMs/VLMs/VLAs for robotic autonomy, Behaviour Trees, SLAM frameworks (Cartographer, RTAB-Map, LIO-SAM, FAST-LIO, ORB-SLAM), simulation environments (Gazebo, Isaac Sim), aerial robotic platforms
Technologies
ROS/ROS2, Nav2, LiDAR, IMU, GNSS, C++, Python, Gazebo, Isaac Sim
Responsibilities
Develop, integrate and maintain SLAM, localization and autonomous navigation software; Adapt and extend navigation software to new robots, sensors and operational environments; Develop and integrate perception-driven navigation and AI-based mission execution capabilities; Develop and integrate global/local planning, reactive navigation and obstacle avoidance capabilities; Integrate LiDAR, cameras, IMUs, GNSS, wheel odometry and other sensors into navigation stacks; Analyze, debug and improve navigation performance using datasets, simulation and real-world experiments; Contribute to national and European R&D projects, technical reports and scientific publications
Seniority
Senior, hands-on IC
