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SLAM Software Engineer, RIVR

Amazon· Amazon Robotics
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ZurichUnknownPosted 2w ago

About the role

RIVR, an Amazon company, is building Physical AI by deploying autonomous robots for real-world doorstep delivery. The SLAM Software Engineer will specialize in laser- and camera-based localization and SLAM to enable autonomous navigation and mapping on real robots.

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.

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.

Skills

Required:SLAM / localizationComputer visionC++PythonSensor fusionDeployment on hardwareMathematical optimization
Nice to have:ROS/ROS2
Last updated Oct 25, 2026. Interested? Apply on the company site.

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