Amazon Industrial Robotics is seeking exceptional talent to help develop the next generation of advanced robotics systems that will transform automation at Amazons scale. Were 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 whats 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 the latest software and AI tools for robots.
At Amazon Industrial Robotics 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 a software framework that:
- Enables deployment of robots at Amazon scale
- Enables unprecedented generalization across diverse tasks
- Seamlessly integrates with large models and optimal control techniques
- Integrates with human-safe safety solutions
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 thats 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.
Key job responsibilities
- Design critical components of a software framework that enables generalized dexterous mobile manipulation
- Design and integrate cloud and on-edge inferencing systems.
- Integrate low-latency communication middleware that enables real-time teleoperation
- Develop human-machine-interfaces that enable fast no-code programming for end-users
- Design components that enable metrics and data aggregation
- Partner with cross-functional teams to rapidly create new concepts and prototypes
- Document the designs performance and validation of the software architecture
- Bachelors degree in Computer Science Engineering or a related field
- 4 years in CS ME EE or related field experience
- Experience with robotics architectures like ROS Orocos etc.
- Experience with communication layers such as DDS EtherCAT LCM etc.
- Experience with test driven development (TDD) in robotics software
- Masters degree in robotics mechanical/mechatronics engineering systems engineering or related field
- Experience programming in Java C Python or related language
- Experience with Machine and Deep Learning toolkits such as MXNet TensorFlow Caffe and PyTorch
- Experience working effectively across cross-functional teams and partnering well with people at all levels within an organization
- Experience in ROS/ROS2
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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for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $129300/year in our lowest geographic market up to $223600/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge skills and experience. Amazon is a total compensation company. Dependent on the position offered equity sign-on payments and other forms of compensation may be provided as part of a total compensation package in addition to a full range of medical financial and/or other benefits. For more information please visit This position will remain posted until filled. Applicants should apply via our internal or external career site.