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Amazon Inc. in Zürich, Switzerland, seeks a Robotics Wireless & Network Engineer Intern for the RIVR team to work across hardware and software on autonomous delivery robotics. You will configure networks, characterize wireless links, and build monitoring to keep the fleet visible and secure.
The role combines advanced perception, machine learning, and simulation to push autonomous systems forward. You’ll collaborate with world-class engineers to solve real connectivity challenges across 4G/5G,
Embark on an exciting journey at Amazon as a Specialised Software Development Engineer! Join our cutting‑edge teams working on innovative technologies that impact millions of customers worldwide.
Shape the future of autonomous systems at Amazon! Work on groundbreaking projects that combine advanced perception, machine learning, and simulation to create the next generation of autonomous technologies.
Collaborate with world‑class engineers and scientists to build and deploy state‑of-the‑art systems that push the boundaries of what's possible in robotics and computer vision. Your work will directly impact millions of customers and transform industries on a global scale
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.
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.
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