
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
As a Senior Electronics Engineer in our Zurich based R&D team, you will be the responsible for the "muscles" of our robots. Your primary mission is to design, prototype, and validate custom motor controllers and power electronics that redefine what our actuators can achieve. To meet our goal of building more compact and agile robots, you will lead the development of high-power-density PCBAs, allowing us to shrink our motor footprint without sacrificing torque or reliability.
You will sit at the unique intersection of physics and firmware, building the high-performance hardware that enables our robots to conquer the last mile. This is a rare opportunity to own the hardware stack of one of the world’s most advanced legged-on-wheels platforms, bridging the gap between theoretical control logic and production-ready intelligence.
Amazon RIVR 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.