SLAM / Computer Vision Intern

Location: On-site in Zürich, Switzerland. Applications are accepted from citizens of Schengen Area countries; this restriction does not apply to ETHZ and EPFL students completing compulsory internships.

Company

hirify.global, part of Amazon, is an ETH Zurich spin-off robotics company developing wheeled-legged autonomous robots for real-world last-mile delivery.

What you will do

• Integrate SLAM modules with robot hardware and contribute ideas to improve system robustness and accuracy.
• Benchmark, evaluate, and develop state-of-the-art localization and mapping algorithms for robotic applications.
• Study recent developments in SLAM and computer vision literature and apply relevant approaches.
• Prototype algorithms and validate them on hardware and real-world robotic data.

Requirements

• 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.
• Experience with C++ and/or Python.
• Eagerness to learn and contribute in a team environment.
• Strong problem-solving and analytical skills.

Nice to have

• Experience implementing or extending SLAM systems.
• Exposure to state-of-the-art dense visual SLAM or multi-view stereo approaches.
• Familiarity with sensor fusion involving cameras, LiDAR, or IMUs.
• Knowledge of OpenCV, GTSAM, Ceres, Eigen, or similar frameworks and libraries.
• Experience with ROS or ROS 2 and real-world robotic data collection.

Culture & Benefits

• Hands-on experience in spatial perception, algorithm development, and real-world robotic deployment.
• Close collaboration with senior engineers in a dynamic and collaborative environment.
• Internship pathway for recruiting graduates who can make a significant impact on the team.