Amazon RIVR 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, Amazon RIVR is building the next generation of safe, reliable autonomous robots for last-mile delivery
What you’ll be doing
- Integrate the software stack for the robot, including simulation and real-world hardware, and collaborate with the experts of the different substacks (AI-driven autonomy, SLAM, computer vision, manipulations, etc).
- Collaborate with the Embedded Systems team to ensure proper interfacing between platform software and hardware drivers.
- Implement deployment-ready code for the real robot, optimized for the robot’s computational constraints.
- Work closely with the DevOps team to integrate platform development into CI/CD pipelines, ensuring efficient build, test, and deployment processes.
- Provide technical guidance to the Field Engineering team for platform deployment, troubleshooting, and maintenance.
- Provide expert guidance to product managers and executives for strategic decision-making.
- Create and maintain documentation, guidelines, and best practices to streamline knowledge sharing.
What you must have
- Bachelor’s degree or higher in a relevant field such as Robotics, Engineering, Computer Science or a similar discipline.
- A minimum of five years of industry or research experience, with PhD experience applicable.
- Strong background in robotics or autonomous driving, with expertise across the full stack—encompassing sensors, perception, mapping, localization, navigation, control.
- Experience with deploying software on hardware platforms.
- Ability to write production-level code in modern C++.
- Ability to prototype algorithms in Python.
- Experience with ROS (Robot Operating System).
Get some bonus points
- PhD or Master’s degree in Robotics, Engineering, Computer Science or a similar discipline, or an equivalent amount of industry experience.
- Experience with autonomous robots, cars or other vehicles.
- Experience in managing a software team.
Skills Required
- Bachelor's degree in Robotics, Engineering, Computer Science or a similar discipline
- Minimum of five years of industry or research experience
- Strong background in robotics or autonomous driving
- Experience with deploying software on hardware platforms
- Ability to write production-level code in modern C++
- Ability to prototype algorithms in Python
- Experience with ROS
What We Do
Reality in Virtual Reality Limited is a developer of Virtual Reality assets in both 360 video and photo realistic virtual reality experiences. Offering immersive training for all industries. We scan any real-world environment and use our RiVR VR Simulation Engine and our VRM (Virtual Reality Monitor) to enable cutting edge training anywhere in the world. With our simulation engine we can capture any location and recreate it in photorealistic virtual reality. RiVR allows users to interact with and experience these worlds, enhancing the way humans learn.
