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
What you will be doing
Develop own and maintain state-of-the-art sensor calibration systems (intrinsics extrinsics and temporal) to ensure reliable data fusion in complex and unpredictable environments.
Design validate and improve algorithms on challenging real-world data specifically analyzing the impact of offline and online calibration on the performance of Amazon RIVRs systems.
Contribute to the development maintenance and performance tracking of calibration systems on robots ensuring the rest of the stack performs well.
Explore and integrate state-of-the-art sensors in future platforms with focus on effective calibration strategies.
Work towards combining geometry and learning techniques for advanced sensor calibration.
Create and maintain documentation and best practices to streamline knowledge sharing for calibration procedures.
What you must have
Masters degree in a relevant field such as Engineering Robotics Machine Learning Computer Science or a similar discipline.
A minimum of 2 years of industry or research experience.
Strong mathematical fundamentals including linear algebra vector calculus probability theory and mathematical optimization.
Proven expertise in sensor calibration (e.g. camera/LiDAR intrinsic/extrinsic temporal synchronization) and experience with various calibration methods.
Background in robotics or autonomous driving with experience in areas such as 3D visual or LiDAR SLAM structure from motion factor graphs filtering or Bayesian estimation.
Ability to write production-level code in modern C and prototype efficiently in Python.
Get some bonus points
Familiarity with online or self-calibration techniques for robotics platforms.
Publications at top-tier conferences.
Experience with ROS/ROS2.
Amazon RIVR is committed to building a diverse and inclusive team that values every perspective. If youre 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.
Required Experience:
Senior IC
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 ...
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
What you will be doing
Develop own and maintain state-of-the-art sensor calibration systems (intrinsics extrinsics and temporal) to ensure reliable data fusion in complex and unpredictable environments.
Design validate and improve algorithms on challenging real-world data specifically analyzing the impact of offline and online calibration on the performance of Amazon RIVRs systems.
Contribute to the development maintenance and performance tracking of calibration systems on robots ensuring the rest of the stack performs well.
Explore and integrate state-of-the-art sensors in future platforms with focus on effective calibration strategies.
Work towards combining geometry and learning techniques for advanced sensor calibration.
Create and maintain documentation and best practices to streamline knowledge sharing for calibration procedures.
What you must have
Masters degree in a relevant field such as Engineering Robotics Machine Learning Computer Science or a similar discipline.
A minimum of 2 years of industry or research experience.
Strong mathematical fundamentals including linear algebra vector calculus probability theory and mathematical optimization.
Proven expertise in sensor calibration (e.g. camera/LiDAR intrinsic/extrinsic temporal synchronization) and experience with various calibration methods.
Background in robotics or autonomous driving with experience in areas such as 3D visual or LiDAR SLAM structure from motion factor graphs filtering or Bayesian estimation.
Ability to write production-level code in modern C and prototype efficiently in Python.
Get some bonus points
Familiarity with online or self-calibration techniques for robotics platforms.
Publications at top-tier conferences.
Experience with ROS/ROS2.
Amazon RIVR is committed to building a diverse and inclusive team that values every perspective. If youre 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.