Summer 2023: Motion Planning Engineering Research Intern

Motion Planning Research Engineering Intern 

You will be part of  the Motion Planning Research (MPR) team. The team is responsible for developing novel motion planning and decision-making algorithms which will integrate Motinal’s next generation of autonomous vehicles. 

At MPR you will:

• Focus on solving real navigation problems and propose cutting-edge solutions which will enable the next generation of AVs to navigate diverse scenarios. 
• Collaborate and coordinate with other teams to ensure alignment of efforts for algorithm deployment.
• Support enhancing safety of autonomous vehicles by incorporating SOTA approaches in our software stack.
• Be part of a team placed between research and deployment, working on novel solutions with a tangible result oriented drive.

What you’ll be doing:

• You will study the SoA approaches applicable to solve a real self-driving problem.
• You will directly contribute to the development of novel methods to handle challenging autonomous driving scenarios.
• You will learn how to design and build robust, scalable and reliable codebase.
• You will work together with a team of top engineers and scientists.
• You will have the opportunity to test your work on a real self-driving vehicle and publish the results.

What we’re looking for:

We are looking for a passionate robotics scientist to help us make autonomous vehicles a reality. You should have:

• Working toward a Bachelor’s or Master’s degree preferred in Robotics, Computer Science, Computer Engineering or related field
• Knowledge of the motion planning problem and the main approaches
• Deep knowledge of optimization methods and frameworks
• Proficient in software engineering, with familiarity of modern C++
• Familiar with Linux environments
• Curiosity and critical thinking

Why you should join us:

• Cutting-edge research environment
• Join a dynamic, motivated and ambitious team 
• Enjoy an inclusive work mentality, where you will be able to grow professionally
• Flexible time working schedule
• Good life-work balance