Applied Scientist - Motion Planning

• PhD in Engineering, Technology, Computer Science, Mathematics or a related quantitative field OR equivalent Masters Degree plus 4+ years experience in CS or related field.
• 2+ years of relevant Industry or Academic research experience in developing algorithms for robotic motion planning and developing mobile robotic systems.
• Strong algorithm development experience
• 1+ years experience programming in Java, C++, Python or any other related programming language and experience building high-quality, scalable production software.
• Ability to work on a diverse team or with a diverse range of coworkers.

Are you inspired by invention? Is problem solving through teamwork in your DNA? Do you like the idea of seeing how your work impacts the bigger picture? Answer yes to any of these and you’ll fit right in here at Amazon Robotics. We are a smart team of doers that work passionately to apply cutting edge advances in robotics and software to solve real-world challenges that will transform our customers’ experiences. We invent new improvements every day. We are Amazon Robotics and we will give you the tools and support you need to invent with us in ways that are rewarding, fulfilling and fun.

The Amazon Robotics Autonomous Mobility software team is seeking an Applied Scientist to develop state-of-the-art motion planning algorithms and software to ensure safe and efficient autonomous vehicle navigation. In this role you will apply the latest trends in research to solve real-world problems in autonomous vehicle motion planning and multi-vehicle coordination. You will collaborate with an exceptional team of scientists and engineers building a new generation of autonomous mobile robots to power the Amazon fulfillment and transportation networks.

Inclusive Team Culture
Here at Amazon, we embrace our differences. We are committed to furthering our culture of inclusion. We have 12 affinity groups (employee resource groups) with more than 87,000 employees across hundreds of chapters around the world. We have innovative benefit offerings, and host annual and ongoing learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences. Amazon’s culture of inclusion is reinforced within our 14 Leadership Principles, which reminds team members to seek diverse perspectives, learn and be curious, and earn trust.
Flexibility
It isn’t about which hours you spend at home or at work; it’s about the flow you establish that brings energy to both parts of your life. We offer flexibility and encourage you to find your own balance between your work and personal lives.

Mentorship & Career Growth
We care about your career growth too. Whether your goals are to explore new technologies, take on bigger opportunities, or get to the next level, we'll help you get there. Our business is growing fast and our people will grow with it.

• PhD and 4+ years of relevant industry or academic research experience in developing algorithms for robotic motion planning.
• Extensive knowledge and practical research experience in one or more of the following areas; motion planning, trajectory planning, multi-vehicle coordination, machine learning, re-enforcement learning.
• 2+ years experience programming in Java, C++, Python or related language.
• Scientific mindset and the ability to invent and problem-solve.
• 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.

Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us We believe passionately that employing a diverse workforce is central to our success and we make recruiting decisions based on your experience and skills. We welcome applications from all members of society irrespective of age, gender, disability, sexual orientation, race, religion or belief.