Autonomy Software Engineer
Avular Innovations · Eindhoven
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Master’s degree in Computer Science, Robotics, Autonomous Systems, Control Engineering, or a related technical field.
Typically 4+ years of professional software engineering experience, with relevant experience in, for example: robotics, autonomous systems, motion planning, or navigation.
Strong software engineering skills in C++ (C++17 or newer) and practical experience with Python.
Professional experience developing robotic software using ROS2.
Experience with graph-based representations and algorithms, such as navigation graphs, vector graphs, graph search, route planning, or related techniques.
Solid understanding of robot autonomy, including areas such as localisation, navigation, path planning, trajectory generation, obstacle avoidance, and autonomous behaviour.
Experience developing algorithms that operate on real robotic systems, preferably mobile robots, autonomous vehicles, or drones.
Comfortable developing and debugging software on Linux, including software deployed on ARM-based systems.
Experience with CMake, dependency management, and building larger C++ software projects.
Familiarity with Docker and containerised development/deployment.
Able to analyse system behaviour using logs, recorded sensor data, ROS bags, and other diagnostic information.