SLAM & Localization Engineer for Real-World Robotics

Amazon; Zürich; On-site; CHF 120,000 - 160,000; Full time

Job summary

RIVR Technologies AG is seeking an expert SLAM Engineer to advance localization and mapping for autonomous delivery robots. You will fuse sensor data from cameras, LiDAR, IMU, and GNSS to achieve precise navigation in dynamic urban environments.

The role requires strong C++ production skills and Python prototyping, with a Master’s degree in Robotics or related field. You’ll contribute to sensor calibration, ground-truth mapping, and deployment-ready software for real robots.

Qualifications

• A minimum of 3 years of industry or research experience.
• Background in computer vision, robotics or autonomous driving, with experience in areas such as 3D visual or LiDAR SLAM, place recognition, structure from motion, filtering, or Bayesian estimation.
• Strong mathematical fundamentals including linear algebra, vector calculus, probability theory, and mathematical optimization.
• Ability to write production-level code in modern C++, and prototype efficiently in Python.
• Experience with deploying SLAM or localization algorithms on hardware platforms.
• Master’s degree in a relevant field such as Robotics, Machine Learning, Computer Science, or a similar discipline.

Responsibilities

• Develop state-of-the-art, online and offline localization and SLAM algorithms by fusing information from cameras, LiDARs, IMU, GNSS, and other sensors.
• Design, validate, and improve algorithms on challenging real-world data.
• Contribute to the dynamic mapping of the environment using data continuously gathered from ongoing robot deployments.
• Assist in the creation of robust sensor calibration systems that perform reliably in complex and unpredictable environments.
• Support the development of an efficient workflow to accurately capture ground truth data, and maps of deployment sites for algorithm evaluation.
• Contribute to the implementation of deployment-ready code for the real robot, optimized for the robot’s computational constraints.
• Create and maintain documentation and best practices to streamline knowledge sharing.

Skills

C++

Python

SLAM

Robotics

3D vision

Education

Master’s degree in Robotics

Tools

ROS/ROS2

Job description

RIVR Technologies AG is seeking an expert SLAM Engineer to advance localization and mapping for autonomous delivery robots. You will fuse sensor data from cameras, LiDAR, IMU, and GNSS to achieve precise navigation in dynamic urban environments.

The role requires strong C++ production skills and Python prototyping, with a Master’s degree in Robotics or related field. You’ll contribute to sensor calibration, ground-truth mapping, and deployment-ready software for real robots.