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.
As a Hardware Integration Engineer in our Shanghai office, you will serve as the technical anchor between Zurich design engineering, local assembly operations, and Chinese supply chain networks. While our Zurich team focuses on initial R&D prototypes, the Shanghai team drives hardware localization, component substitution, shop-floor assembly support, and structural testing as we evolve toward production-ready systems.
In this role, you will be primary hands-on responsible for resolving assembly line issues, answering technical clarifications on engineering drawings, performing root-cause failure analysis, and executing mechanical component localization. You will ensure our complex electromechanical systems move smoothly from early prototypes to robust, repeatable builds ready for real-world deployment.
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.
RIVR is a robotics company pioneering Physical AI for doorstep delivery. We combine neural networks with innovative wheeled-legged robots to automate the most labor-intensive part of delivery, bringing packages and food directly to consumers’ doorsteps, while mastering real-world challenges like climbing stairs, navigating cluttered spaces, and opening gates and doors. With customers already requiring tens of thousands of robots, RIVR is on track to generate more daily data than YouTube within four years, unlocking a powerful data flywheel for General Physical AI.
