Job Description

Building and maintaining simulation environments for mobile robotic perception and navigation
Developing and integrating robotic behaviours and learning pipelines for reinforcement learning and motion planning in complex outdoor environments
Collaborating with cross-functional teams to validate robotic algorithms in simulated environments
Optimizing simulation performance for large-scale training and testing, including cloud-based deployments

Bachelor’s or master's degree in Robotics, Computer Science, Mechanical Engineering, or related fields
Experience with the ROS2 framework
Experience with ROS2 navigation stack [RTAB-MAP, NAV2, ROS Control, behaviour tree]
Proficiency in Python and C++
Solid understanding of mobile robotic systems, including kinematics, dynamics, and control
Experience in creating digital twins and simulation from IsaacSim, Gazebo, MuJoCo, CoppeliaSim or