SLAM Software Engineer
Amazon-owned Swiss robotics company developing wheeled-legged, Physical-AI robots for autonomous doorstep delivery.
Funding history
About RIVR
RIVR develops full-stack autonomous delivery robots that combine wheels, legs, AI software, and remote operational support to navigate the last mile and final 100 yards, including curbs, stairs, gates, and doorsteps.
Skills
Candidate Availability
Required and preferred rules are kept separate and reflect the wording in the original posting.
About the Role
You will develop online and offline localization and SLAM algorithms using camera, LiDAR, IMU, GNSS, and other sensor data. You will validate algorithms on real-world data, improve dynamic mapping and calibration systems, support ground-truth workflows, implement deployment-ready robot code, and maintain documentation.
Requirements
- Master’s degree in Robotics, Machine Learning, Computer Science, or a similar discipline
- At least three years of industry or research experience
- Experience in computer vision, robotics, or autonomous driving
- Experience with visual or LiDAR SLAM, place recognition, structure from motion, filtering, or Bayesian estimation
- Strong knowledge of linear algebra, vector calculus, probability theory, and mathematical optimization
- Production-level modern C++ programming ability
- Python prototyping ability
- Experience deploying SLAM or localization algorithms on hardware platforms
Responsibilities
- Develop online and offline localization and SLAM algorithms
- Fuse data from cameras, LiDAR, IMU, GNSS, and other sensors
- Design, validate, and improve algorithms using real-world data
- Contribute to dynamic environment mapping from robot-deployment data
- Create robust sensor-calibration systems
- Support workflows for ground-truth data and deployment-site maps
- Implement deployment-ready code optimized for robot computational constraints
- Create and maintain documentation and best practices