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.
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.
- Network engineering: Configure and improve the robot's internal network (VLAN, NTP/PTP time sync, DHCP/DNS).
- Real-time traffic: Make sure ROS2/DDS, WebRTC and MQTT flows behave correctly on the network.
- Wireless and RF performance: Characterize how the cellular, Wi-Fi and satellite links behave in the real world (coverage, throughput, latency under load, antenna placement and A/B system comparisons).
- Troubleshooting and documentation: Take the first pass on connectivity issues, work through them with packet captures and logs, and keep network diagrams, configuration baselines and technical docs up to date.
- BSc or higher in Telecommunications Engineering, Telematics Engineering, Electrical/Electronics Engineering, or Computer Science.
- Solid networking fundamentals across all TCP/IP stack.
- Hands-on experience (either through coursework, previous internships, or other projects) with networking, robotics or drones.
- Comfortable working on Linux and Git.
- Scripting in Python/Golang and basic knowledge in C++
- Strong problem-solving skills, and eagerness to learn and contribute on complex, real- world systems in a collaborative team.
- Exposure to RF concepts: link budgets, filters, antennas, VSWR, or hands-on time with a VNA or spectrum analyzer.
- ROS2 or any experience with robots and sensors.
- Familiarity with AWS and network configuration on embedded Linux.
- Clear writing and the instinct to hand over what you learned.