Applied Scientist, SLAM, Industrial Robotics Group

Amazon Industrial Robotics Group is seeking exceptional talent to help develop the next generation of advanced robotics systems that will transform automation at Amazon's scale. We're building revolutionary robotic systems that combine cutting-edge AI, sophisticated control systems, and advanced mechanical design to create adaptable automation solutions capable of working safely alongside humans in dynamic environments. This is a unique opportunity to shape the future of robotics and automation at an unprecedented scale, working with world-class teams pushing the boundaries of what's possible in robotic dexterous manipulation, locomotion, and human-robot interaction. This role presents an opportunity to shape the future of robotics through innovative applications of deep learning and large language models.

At Amazon Industrial Robotics Group, we leverage advanced robotics, machine learning, and artificial intelligence to solve complex operational challenges at an unprecedented scale. Our fleet of robots operates across hundreds of facilities worldwide, working in sophisticated coordination to fulfill our mission of customer excellence.

We are pioneering the development of dexterous manipulation system that:
- Enables unprecedented generalization across diverse tasks
- Enables contact-rich manipulation in different environments
- Seamlessly integrates low-level skills and high-level behaviors
- Leverage mechanical intelligence, multi-modal sensor feedback and advanced control techniques.

The ideal candidate will contribute to research that bridges the gap between theoretical advancement and practical implementation in robotics. You will be part of a team that's revolutionizing how robots learn, adapt, and interact with their environment.

Join us in building the next generation of intelligent robotics systems that will transform the future of automation and human-robot collaboration.

A day in the life
- Lead design and implementation of methods for Visual SLAM, navigation and spatial reasoning
- Leverage simulation and real-world data collection to create large datasets for model development
- Develop a hierarchical system that combines low-level control with high-level planning
- Collaborate effectively with multi-disciplinary teams to co-design hardware and algorithms for dexterous manipulation