SLAM Engineer – Real-World Robot Localization

Rivr; Zürich; On-site; CHF 110,000 - 160,000; Full time

Job summary

RIVR, part of Amazon, is a robotics company pioneering Physical AI for last-mile delivery. We seek an experienced SLAM Engineer to advance laser- and camera-based localization on real robots in dynamic environments.

Responsibilities include developing online and offline localization and SLAM, validating on real-world data, sensor calibration, and deploying deployment-ready code within hardware constraints. In-person office presence is required in Zürich.

Qualifications

• Master's degree in Robotics, Computer Science, or related field.
• At least 3 years of industry or research experience.
• Background in computer vision, robotics, or autonomous driving with SLAM/3D visual/LiDAR.
• Strong mathematical fundamentals including linear algebra, calculus, probability, optimization.
• Ability to write production-level C++ and prototype in Python.
• Experience deploying SLAM/localization on hardware.

Responsibilities

• Develop state-of-the-art online and offline localization and SLAM, fusing cameras, LiDAR, IMU, GNSS, and other sensors.
• Design, validate, and improve algorithms on challenging real-world data.
• Contribute to dynamic mapping using data from ongoing robot deployments.
• Assist in robust sensor calibration systems for complex environments.
• Support workflow to capture ground truth data and maps for evaluation.
• Implement deployment-ready code optimized for the robot's computational constraints.
• Create and maintain documentation and best practices.

Skills

Robotics background

SLAM / localization

Mathematics fundamentals

C++ production code

Python prototype

Hardware deployment

Education

Master's degree

Tools

ROS/ROS2

Job description

RIVR, part of Amazon, is a robotics company pioneering Physical AI for last-mile delivery. We seek an experienced SLAM Engineer to advance laser- and camera-based localization on real robots in dynamic environments.

Responsibilities include developing online and offline localization and SLAM, validating on real-world data, sensor calibration, and deploying deployment-ready code within hardware constraints. In-person office presence is required in Zürich.