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
Job Description
As a Senior Software Engineer for the Robot Platform, you will be a key player in the design, development, and integration of our robotic platform. Besides collaborating with all software and AI engineers, your role will involve working closely with Embedded Systems to ensure proper interfacing between software and hardware, DevOps to ensure seamless software integration and deployment, and with Field Engineering to support the real-world deployment of our robotic systems. You will learn the ins and outs of the software deployed in simulation and on hardware, and your expertise will ensure the reliability, scalability, and performance of our robotic platforms. If you are passionate about robotics and driven to innovate real-world deployments of robots, we encourage you to join us in shaping the future of intelligent robotics.
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.
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).
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.
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