SLAM Software Engineer

Amazon RIVR; Zürich; Vor Ort; CHF 100.000 - 170.000; Vollzeit

Zusammenfassung

Amazon RIVR, Zürich, develops autonomous robots for last‑mile delivery and operates under Amazon after acquisition. The role focuses on state‑of‑the‑art SLAM, localization, and robust perception in real‑world, unstructured environments.

You will design and implement online and offline SLAM solutions, fuse multimodal sensor data, and contribute to deployment‑ready code optimized for the robot’s compute limits. Collaborative research and hands‑on hardware work are expected.

Qualifikationen

• What you must have: master’s degree in Robotics, ML, CS, or related field.
• Minimum 3 years of industry or research experience.
• Background in computer vision, robotics or autonomous driving, incl. 3D visual or LiDAR SLAM, place recognition, structure from motion, filtering, or Bayesian estimation.
• Strong math fundamentals: linear algebra, calculus, probability, optimization.
• Ability to write production-grade C++ and prototype efficiently in Python.
• Experience deploying SLAM/localization on hardware.

Aufgaben

• Develop state-of-the-art online and offline localization and SLAM by fusing cameras, LiDARs, IMU, GNSS, and other sensors.
• Design, validate, and improve algorithms on real-world data.
• Contribute to dynamic environment mapping from ongoing robot deployments.
• Assist in robust sensor calibration systems for complex environments.
• Support efficient workflows to capture ground truth data and maps for evaluation.
• Contribute to deployment-ready code for real robot, optimized for compute constraints.
• Create and maintain documentation and best practices for knowledge sharing.

Kenntnisse

Robotics

Computer vision

SLAM

Localization

C++

Python

Mathematics

Ausbildung

Master’s degree in Robotics, Machine Learning, Computer Science, or a related field

Tools

ROS/ROS2

SLAM frameworks

Jobbeschreibung

Job Description

RIVR, part of Amazon is a robotics company pioneering Physical AI through real-world doorstep delivery. Founded in 2024 as an ETH Zurich spin-off, RIVR developed wheeled-legged robots designed to operate in complex, unstructured environments such as stairs, gates, doors, and uneven urban terrain. We believe that achieving general physical intelligence requires solving real customer problems in the real world, where robots can learn from rich operational data at scale. Following our acquisition by Amazon in March 2026, we are continuing this mission with greater reach and speed. By combining custom robot hardware, onboard autonomy, and cloud-based coordination, RIVR, part of Amazon is building the next generation of safe, reliable autonomous robots for last‑mile delivery.

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.

What You Must Have

• Master’s degree in a relevant field such as Robotics, Machine Learning, Computer Science, or a similar discipline.
• 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.

Get Some Bonus Points

• Experience with state‑of‑the‑art deep learning algorithms for SLAM and localization.
• Publications at top-tier conferences.
• Experience with ROS/ROS2.

RIVR, part of Amazon is committed to building a diverse and inclusive team that values every perspective. If you’re passionate about driving innovation in robotics and creating meaningful impact, we encourage you to apply and bring your unique self to our team.

We believe the best work is done when collaborating and therefore require in‑person presence in our office locations.