Motion Planning Research Engineer

Qualifications required:

• Masters / PhD in Computer Science, Robotics or related field OR relevant autonomous driving / robotics experience.
• Experience with autonomous systems in one or more of the following areas: planning under uncertainty, decision-making, tracking and prediction, vehicle control systems, perception, localization, estimation, and machine learning
• Experience developing, working with, modifying, and creating advanced algorithms.
• Extensive experience working with autonomous driving systems.
• Large scale probabilistic planning and prediction.
• Advanced vehicle dynamics and control.
• Experience in ROS, C++ and / or python.
• Proficiency with Linux.
• Hands-on experience with autonomous systems.
• Be intellectually curious and have an unending desire to learn.
• Experience of working in a fast paced environment.

Good to have skills:

• Robust software design for safety-critical systems.
• Multi-modal sensor fusion for localization and dynamic object tracking.
• Naturally enjoy testing of autonomous vehicles out in the wild.
• PhD + industry experience in autonomous driving.
• Some Deep Learning experience and Tensorflow / Pytorch not required but a plus.

Expected tasks from the candidate includes the following:

• Field testing of algorithms in an autonomous vehicle (involves driving, trusting your own software while being driven in the vehicle, etc.)
• Developing Motion Planning algorithms in simulation.
• Deployment and testing of motion planning / controls algorithms on an autonomous vehicle.
• Industrial grade software development adhering to best code / documentation practices.