Robotics Software Engineer (Motion Planning)

Your Mission

This position is responsible for developing and implementing advanced motion planning algorithms for robotic systems in dynamic environments. The engineer will design, optimize, and deploy solutions to ensure robust robot performance, with strong expertise in motion planning and hands-on algorithm implementation. Experience in integrating computer vision for enhanced robot control and motion planning is highly preferred.

What To Expect

• Design, implement, and optimize state-of-the-art motion planning algorithms (e.g., optimization-based, graph-based, AI-based) for high-degree-of-freedom robotic systems.
• Develop and maintain core robotic software infrastructure, primarily utilizing C++ and Python, within frameworks such as ROS/ROS 2.
• Model, simulate, and validate complex robotic behaviors and motion plans in virtual environments before physical deployment.
• Implement real-time control systems and interfaces for executing planned motions on physical robots, ensuring safety and precision.
• Integrate computer vision algorithms (e.g., object detection, pose estimation, semantic segmentation) to provide environmental perception data necessary for advanced motion planning and task execution.
• Develop robust methods for collision avoidance, obstacle modeling, and dynamic environment adaptation within the motion planner.
• Contribute to the entire software development lifecycle, including requirements gathering, design documentation, code reviews, testing, and deployment.
• Collaborate closely with hardware engineers, control engineers, and computer vision software engineer to achieve system-level performance goals.

What You'll Bring

• Ph.D. or Master’s degree in Robotics, Computer Science, Electrical Engineering, or a related field.
• 3+ years of professional experience in robotics software development, with a significant focus on motion planning.
• Deep theoretical understanding and practical implementation experience with algorithms such as RRT*, PRM, A*, numerical optimization techniques (e.g., trajectory optimization), and constrained planning.
• Experience with machine learning frameworks (e.g., TensorFlow, PyTorch, scikit-learn).
• Experience with robotic simulation software (e.g., ROS, Gazebo, CoppeliaSim).
• Expert proficiency in C++ for high-performance, real-time applications and strong proficiency in Python.
• Solid understanding of kinematics, dynamics, control systems, and state estimation.
• Practical experience with computer vision libraries (e.g., OpenCV, Open3D) and applying vision techniques (e.g., object tracking, 3D reconstruction) to inform real-time robot motion planning or feedback control.
• Familiarity with applying machine learning (e.g., reinforcement learning, deep learning) to improve motion planning or perception tasks.
• Creative problem-solving skills and a passion for innovation in robotics and computer vision technologies.