Motion Planning Engineer Intern - PhD

What you'll do

• Build decision-making systems for autonomous vehicles handling lane transitions and vehicle interactions.
• Create pathfinding algorithms that combine spatial reasoning with adaptive speed planning.
• Establish objective functions weighing safety, passenger comfort, and operational efficiency for path selection.
• Validate and troubleshoot performance across simulations and production datasets.

What they're looking for

• PhD recently finished or finishing in Robotics, Computer Science, Electrical Engineering, or equivalent.
• Prior work in route algorithms, decision-making systems, path optimization, or interaction modeling.
• Peer-reviewed papers accepted at premier venues including RSS, ICRA, IROS, CVPR, NeurIPS, CoRL.
• Proficiency coding complex, low-latency systems in C++.

Pay and perks

• $46 per hour for interns.
• Access to intern-level benefits package.
• Strong performers eligible for permanent role conversion.