We are seeking a Principal Applied Scientist to join our industryleading team developing cuttingedge technologies in multirobot 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 realworld environments.
In this position you will lead projects to push the boundaries of collaborative autonomy getting teams of robots to cooperate and coordinate to get work done. You will develop and deploy new planning coordination and control methods for our next generation of mobile robots. Your solutions will allow packs of robots to navigate warehouses transporting goods performing services and taking over dangerous dull dirty tasks all while safely sharing space with people.
This opportunity offers the chance to have broad impact by enabling robots to take on new roles that will transform how we work. You will collaborate with brilliant colleagues in a culture that values ingenuity teamwork and making an impact. Come join our mission to pioneer the future of automation!
About the team
The Movement Science team studies algorithms for efficient motion planning and coordination of Amazons 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. We are driven by systemlevel problems where a new algorithm can unlock a new solution design fix a significant shortcoming guarantee performance under varying conditions or improve how complex tradeoffs are made. As a science team we take on projects which require cuttingedge research a longer timehorizon or carry significant risk.
PhD degree in CS CE or related technical field
10 years of relevant broad research experience after the PhD degree
Experience programming in C Java Python or 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 multirobot coordination in realworld 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 fastpaced development environment
Ability to identify unsolved problems and creatively invent solutions
Proven track record of innovation in robotics and autonomous systems
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status disability or other legally protected status.
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