Sr. Applied Scientist at CANVAS Technology
A part of Amazon's Robotics Artificial Intelligence, Canvas Technology is using spatial AI to provide end-to-end autonomous delivery of goods. By using state-of-the-art cameras and other sensors, the system perceives its surroundings with unrivaled vision and fidelity. The system combines a mix of high-performance sensors with simultaneous localization and mapping software that builds and continuously updates maps in real-time, completely automatically. It has the capability to ‘see’ and identify different objects, people, vehicles, and places as it moves and react to moving people and vehicles in an intelligent way.
We are seeking an experienced Sr. Applied Scientist to be part of our team of motion planning scientists and engineers. In this role, you will be expected to help define a team direction for robot planning algorithms, object avoidance and congestion management strategies. This will include providing guidance on system architecture and algorithm selection or design. In this role you will be directly contributing to the implementation. A successful candidate will have strong technical ability, scientific vision, excellent project management skills, great communication skills, and a motivation to achieve results in a fast paced environment.
You will be an integral part of the core robotics team and work with others to implement robot motion planning systems above and beyond the current state-of-the-art in the field.
If you are an experienced Scientist, have a track record of delivering to timelines with high quality, are comfortable providing technical direction, have mentored and grown engineers and are deeply technical and innovative, we want to talk to you.
· PhD in Engineering, Technology, Computer Science, Machine Learning, Robotics, Statistics or a related quantitative field
· 7+ years of research experience in motion planning, path optimization, controls or a related field.
· 2+ years of software development experience.
· Hands-on architectural or system design experience.
· Excellent written and verbal communication skills with the ability to present complex technical information in a clear and concise manner to a variety of audiences.
· Strong algorithm development experience
· PhD and 10+ years of research experience in motion planning, path optimization, controls or a related field.
· Experience implementing efficient, modern planning algorithms.
· Experience in robotics or autonomous vehicles and strong industry background.
· Understanding of machine learning techniques and how they can be applied to motion planning.
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