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, part of Amazon 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.
Important Notice: For this position, we can unfortunately only accept applications from citizens of Schengen Area countries. This restriction does not apply to ETHZ and EPFL students who are required to complete compulsory internships as part of their studies.
At RIVR, we build autonomous delivery robots that operate in the field, and the network is what makes remote supervision and data exchange possible, from the switched network inside the robot, through 4G/5G, Wi-Fi and satellite links, to the cloud stack. As a Robotics Wireless & Network Engineer Intern, you'll sit between the hardware and software teams as a hands-on engineer across that entire path, configuring and segmenting networks, characterizing wireless links, building the monitoring that keeps the fleet visible, and getting to the bottom of connectivity issues
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.