About the job
Amazon Industrial Robotics 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.
Responsibilities
Enables unprecedented generalization across diverse tasks
Enables contact-rich manipulation in different environments
Seamlessly integrates mobility and manipulation
Leverage mechanical intelligence, multi-modal sensor feedback and advanced control techniques.
Qualifications
Minimum
Are 18 years of age or older
Currently enrolled in a PhD program in Computer Science, Robotics, Engineering, Machine Learning, Operations Research, Mathematics, or a related quantitative field
Must be eligible for and available for full-time (40 hours per week) internship in person based out of the assigned office location for the whole duration of the internship/co-op
At least 1 year of relevant academic research or industry experience within Robotics, Manipulation, Dexterous Manipulation, Locomotion, Human-Robot Interaction, Controls, Mechanical Design, Artificial Intelligence, Computer Vision, Machine Learning, Optimization, Perception, Motion Planning, Autonomous Navigation, Software (high-level and embedded) for robotic systems, or related
Experience programming in Java, C++, Python, or related
Preferred
Publication(s) at top-tier peer-reviewed conferences or journals
Ability to develop system prototypes
Demonstrated ability to work on collaborative and cross-functional teams
Drive to see a project through from research concept to working prototype
Strong algorithm development experience
A working knowledge of analysis of algorithms and computational complexity
Familiarity with state-of-the-art algorithms in field of expertise
Excellent creative problem-solving skills
Strong written and verbal communication skills with the ability to present complex technical information in a clear and concise manner to a variety of audiences