3 days ago
Zürich, SwitzerlandIntern
Responsibilities
- Integrate SLAM modules with robot hardware in collaboration with senior engineers.
- Benchmark, evaluate, and develop localization and mapping algorithms for robotic applications.
- Contribute ideas to improve system robustness and accuracy.
- Engage with recent SLAM and computer vision literature.
- Support real-world robotic data collection and related evaluation activities.
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.
- Strong problem-solving and analytical skills and eagerness to learn and contribute in a team environment.
Benefits
- Bonus experience with implementing or extending SLAM systems, dense visual SLAM, multi-view stereo, sensor fusion, OpenCV, GTSAM, Ceres, Eigen, ROS/ROS 2, or real-world robotic data collection.
- In-person presence is required at the company’s office locations.
- Applications are limited to citizens of Schengen Area countries, except ETHZ and EPFL students completing compulsory internships.
About RIVR
RIVR builds wheeled‑legged robots and autonomy software that handle stairs, doors, and uneven terrain to complete doorstep package and food delivery. The ETH Zurich spin‑off, founded in 2024 and headquartered in Zurich, was acquired by Amazon in March 2026. Its system combines custom hardware, onboard perception and planning, and cloud coordination to automate last‑mile logistics for e‑commerce and delivery operators.