Motion Planning Engineer

Responsibilities:

• Design, develop, deploy, and evaluate state of the art algorithms and capabilities for vehicle motion planning.
• Enhance driving performance by formulating driving objectives in a trajectory optimization framework.
• Use metrics to measure, validate, Improve performance through testing in simulation and on roads.
• Design reusable software components as part of an integrated system.
• Understand and fulfill the software practices that produce maintainable code, including simulation, continuous integration, code review, HIL testing, and in-vehicle testing.
• Collaborate closely with teams like Perception, Control, Simulation, Infrastructure, Tooling to drive unified solutions.

Experience:

• You possess an M.S., Ph.D., or equivalent, in Robotics, Control, Computer Science, Applied Mathematics, or other quantitative fields.
• You have 3+ years of experience in development of motion planning and decision making algorithms, e.g. trajectory optimization, sampling-based planning, model predictive control, and machine learning.
• Hands-on experience with architecture design and building a planning stack for autonomous robots.
• You are proficient in C++, and may have familiarity with Python or other programming languages.
• You are an excellent communicator, skilled collaborator, and principled colleague.
• You have strong R&D potential in algorithm design, data-driven approaches to safety, and large-scale systems architecture.