SLAM / Computer Vision Intern

About the role

Amazon RIVR is looking for a SLAM / Computer Vision intern to join its team advancing the localization and mapping capabilities of its last-mile delivery robot. The intern works on benchmarking existing approaches, prototyping novel algorithms and validating them on hardware, gaining hands-on experience in spatial perception, algorithm development and real-world deployment. Applications are reviewed on a rolling basis and matched to teams according to experience, location and availability preferences.

Key responsibilities

• Work closely with senior engineers to integrate SLAM modules with hardware components and help improve system robustness and accuracy.
• Support the team in benchmarking, evaluating and developing state-of-the-art localization and mapping algorithms for robotic applications.
• Keep up with recent developments in SLAM and computer vision literature.
• Learn from roboticists, ML scientists and systems engineers, and take part in design reviews for new robotic features.

Required profile

• At least a BSc in Computer Science, Robotics, Engineering or an equivalent discipline.
• Previous coursework or projects related to computer vision, SLAM or 3D geometry.
• Eagerness to learn and contribute in a team environment, with strong problem-solving and analytical skills.
• Only applicants from Schengen Area countries are accepted; ETHZ and EPFL students completing compulsory internships are exempt.

Required skills

• Experience with C++ and/or Python.
• Preferred: proven experience implementing or extending SLAM systems, dense visual SLAM or multi-view stereo, sensor fusion with cameras, LiDAR or IMUs, and frameworks such as OpenCV, GTSAM, Ceres, Eigen.
• Preferred: experience with ROS/ROS 2 and real-world robotic data collection.