SLAM / Computer Vision Intern

Job Description

As a SLAM Intern, you will join our team to advance the localization and mapping capabilities of our last-mile delivery robot. Your work will directly shape how our robot perceives and navigates complex urban environments - from benchmarking existing approaches to prototyping novel algorithms and validating them on hardware. This role offers hands-on experience in spatial perception, algorithm development, and real-world deployment within a dynamic and collaborative environment. We are committed to finding and nurturing exceptional talent; our internships are a key pathway to recruiting outstanding graduates who can make a significant impact in our team.

What you'll be doing

• Work closely with senior engineers to integrate SLAM modules with hardware components and contribute ideas to enhance system robustness and accuracy.

• Support the team in benchmarking, evaluating, and developing novel state-of-the-art localization and mapping algorithms for robotic applications.

• Engage in continuous learning and gain exposure to recent developments from the SLAM and computer vision literature.

What you should have

• At least a BSc in Computer Science, Robotics, Engineering, or equivalent discipline.

• Previous coursework or projects related to computer vision, SLAM, or 3D geometry.

• Experience with C++ and / or Python.

• Eagerness to learn and contribute in a team environment.

• Strong problem-solving and analytical skills.

Get some bonus points

• Proven experience implementing or extending SLAM systems.

• Exposure to state of the art dense visual SLAM or multi-view stereo approaches.

• Familiarity with sensor fusion techniques involving cameras, LiDAR, or IMUs.

• Knowledge of relevant frameworks or libraries such as OpenCV, GTSAM, Ceres, Eigen, or similar.

• Experience with ROS/ROS 2 and real-world robotic data collection.