Autonomous Robotics SLAM Engineer (Localization & Mapping)

Rival

Zürich

Vor Ort

CHF 90.000 - 130.000

Vollzeit

14 Tage+

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Zusammenfassung

RIVR, part of Amazon in Zürich, Switzerland, is seeking a SLAM Engineer to advance localization and mapping for real-time robot navigation. You will fuse camera, LiDAR, IMU, and GNSS data to deliver robust online and offline SLAM, with production-grade C++ and Python prototypes.

You'll work on deploying SLAM algorithms on hardware, contribute to calibration systems, and help create deployment-ready code for autonomous door-to-door robots.

Qualifikationen

  • Master’s degree in Robotics, Computer Science, or a related field.
  • At least 3 years of industry or research experience.
  • Background in computer vision, robotics or autonomous driving with 3D SLAM/LiDAR or related areas.
  • Strong mathematical fundamentals: linear algebra, calculus, probability, optimization.
  • Production-level C++ with Python prototyping.
  • Experience deploying SLAM on hardware.

Aufgaben

  • Develop online and offline localization and SLAM algorithms by fusing cameras, LiDARs, IMU, GNSS, and other sensors.
  • Design, validate, and improve algorithms on real-world data.
  • Contribute to dynamic mapping using data from ongoing 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 robot hardware.
  • Create and maintain documentation and best practices.

Kenntnisse

SLAM
C++
Python
Computer Vision
Robotics
LiDAR SLAM
Localization
Mathematics

Ausbildung

Master’s degree in Robotics/CS

Tools

ROS/ROS2

Jobbeschreibung

RIVR, part of Amazon in Zürich, Switzerland, is seeking a SLAM Engineer to advance localization and mapping for real-time robot navigation. You will fuse camera, LiDAR, IMU, and GNSS data to deliver robust online and offline SLAM, with production-grade C++ and Python prototypes.

You'll work on deploying SLAM algorithms on hardware, contribute to calibration systems, and help create deployment-ready code for autonomous door-to-door robots.

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