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 Software Engineer for the Robot Platform with focus on Simulation, you will be a key player in the design, development, and integration of our robotic platform simulation and testing capabilities. Besides collaborating with all software and AI engineers, your role will involve working closely with Embedded Systems to ensure proper interfacing between software and hardware, DevOps to ensure seamless software integration and deployment, and with Field Engineering to support the real-world deployment of our robotic systems. You will learn the ins and outs of the software deployed in simulation and on hardware, and your expertise will ensure the reliability, scalability, and performance of our robotic platforms. If you are passionate about robotics and driven to innovate real-world deployments of robots, we encourage you to join us in shaping the future of intelligent robotics.
Responsibilities
Integrate the software stack for the robot, including simulation and real-world hardware, and collaborate with the experts of the different substacks (AI-driven autonomy, SLAM, computer vision, manipulations, etc).
Focus on the Robot Simulation to ensure all systems can be tested and developed in simulation before deploying to real hardware.
Reduce the Sim-To-Real gap using sensor noise analysis, a deep understanding of physics simulations, and customizing the simulation setup where needed.
Architect the right abstractions between the software stack, the simulation and the real hardware.
Work closely with the DevOps team to integrate platform development into CI/CD pipelines, ensuring efficient build, test, and deployment processes.
What you must have
Bachelor’s degree or higher in a relevant field such as Robotics, Engineering, Computer Science or a similar discipline.
A minimum of five years of industry or research experience, with PhD experience applicable.
Strong background in robotics or autonomous driving, with expertise across the full stack encompassing sensors, perception, mapping, localization, navigation, control.
Experience with configuring and customizing physics simulators such as Gazebo, Bullet or IsaacSim.
Experience with analysing sensor noise, system identification and sim-to-real gaps.
Experience with deploying software on hardware platforms.
Ability to write production-level code in modern C++.
Ability to prototype algorithms in Python.
Experience with ROS (Robot Operating System).
Bonus Point
PhD or Master’s degree in Robotics, Engineering, Computer Science or a similar discipline, or an equivalent amount of industry experience.
Experience with autonomous robots, cars or other vehicles.
Experience in managing a software team.
Skills Required
- Bachelor's degree in Robotics, Engineering, Computer Science or similar
- 5 years of industry or research experience
- Experience with configuring physics simulators like Gazebo, Bullet or IsaacSim
- Ability to write production-level code in modern C++
- Ability to prototype algorithms in Python
- Experience with ROS
What We Do
Reality in Virtual Reality Limited is a developer of Virtual Reality assets in both 360 video and photo realistic virtual reality experiences. Offering immersive training for all industries. We scan any real-world environment and use our RiVR VR Simulation Engine and our VRM (Virtual Reality Monitor) to enable cutting edge training anywhere in the world. With our simulation engine we can capture any location and recreate it in photorealistic virtual reality. RiVR allows users to interact with and experience these worlds, enhancing the way humans learn.
