SLAM Engineer

RIVR is a Swiss robotics company pioneering Physical AI and robotic solutions to revolutionize last-mile delivery, giving 1 human the power of 1000. Through the combination of artificial neural networks and innovative robot designs with wheels and legs, RIVR aims to enhance efficiency, sustainability, and scalability in last-mile delivery. Founded as Swiss-Mile, the company rebranded to RIVR in 2025 to better reflect its mission of driving the future of intelligent robotics. Join our innovative team, renowned for pioneering robotic design and neural network applications in robotics that improve environmental understanding and decision-making. With a robust research foundation and notable contributions from ETH Zurich, we are leaders in translating artificial intelligence and robotics into practical, real-world applications.

RIVR 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.

Job Description

Our robots require precise and real-time localization, which they achieve by utilizing onboard sensors such as IMUs, lidar, cameras and GNSS. In environments without existing maps, the robot must dynamically create a map while simultaneously localizing itself within it. As our next SLAM Engineer on a growing team, you will be an expert in laser- and camera-based localization techniques and SLAM and enhance these capabilities. You will shape our robots’ ability to navigate with pinpoint precision, and you will be part of a team focused on enabling our robots to navigate autonomously. If you are passionate about robotics and driven to innovate in SLAM and localization, we encourage you to join us in shaping the future of intelligent robotics.

What you’ll be doing:
• Develop state-of-the-art, online and offline localization and SLAM algorithms by fusing information from lidar, cameras, IMUs, 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 maps of deployment sites.
• 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 Engineering, Robotics, Machine Learning, Computer Science, or a similar discipline.
• A minimum of 2 years of industry or research experience.
• Strong mathematical fundamentals including linear algebra, vector calculus, probability theory, and mathematical optimization.
• Background in robotics or autonomous driving, with experience in areas such as 3D visual or LiDAR SLAM, place recognition, structure from motion, filtering, or Bayesian estimation.
• 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 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.