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Principal Applied Scientist, Multi-Robot Systems, RAD Movement Science
2 months ago
We are seeking a highly skilled Principal Applied Scientist to join our industry-leading team developing cutting-edge technologies in multi-robot planning and control. This is a unique opportunity to play a pivotal role in enabling fleets of autonomous mobile robots to operate safely and efficiently around humans in dynamic real-world environments.
Key Responsibilities- Lead projects to push the boundaries of collaborative autonomy, developing and deploying new planning, coordination, and control methods for our next generation of mobile robots.
- Develop solutions that allow packs of robots to navigate warehouses, transporting goods, performing services, and taking over dangerous, dull, and dirty tasks, all while safely sharing space with people.
- Collaborate with brilliant colleagues in a culture that values ingenuity, teamwork, and making an impact.
The Movement Science team studies algorithms for efficient motion planning and coordination of Amazon's mobile robots. Our aim is to improve the efficiency of robot movement and to enable adaptation to new operating conditions. We focus on two key requirements of movement: preserving liveness and working at scale.
Requirements- PhD degree in Computer Science, Electrical Engineering, or a related technical field.
- 10+ years of relevant, broad research experience after the PhD degree.
- Experience programming in C++, Java, Python, or a related language.
- Experience using state-of-the-art robotics development toolchains, e.g., ROS and Gazebo.
- Strong publication record with contributions to leading conferences/journals.
- Extensive experience developing and deploying algorithms for multi-robot coordination in real-world settings.
- Deep knowledge of adjacent fields, including perception, localization, control, motion planning, and optimization for autonomous robots.
- Extensive experience translating research innovations into fielded robotic systems and/or products.
- Comfort working in a fast-paced development environment.
- Ability to identify unsolved problems and creatively invent solutions.
- Proven track record of innovation in robotics and autonomous systems.
