Nissan
Santa Clara, California - United States of America

Machine Learning Research Intern, Prediction and Planning - Silicon Valley, CA - Summer 2026

Posted Jan 29, 2026LinkedIn

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About this role

With a focus on Mobility, Operational Excellence, Value to our Customers and the Electrification of vehicles, you can expect to be part of something exciting at Nissan. We exemplify ingenuity in everything we do, from the sleek design of our vehicles to the unique opportunities we offer around the globe. Our people are what drive the business forward and we are looking for researchers who want to challenge themselves, test their skills, develop their talents, and discover their full potential.

We’re currently looking for a Research Intern in Prediction and Planning to join our team in May 2026. On our team, we focus on scene understanding, road user prediction, trajectory planning, and vehicle control. Our prediction and planning system is required to produce human-like behavior in challenging real-world scenes including decisive high-speed highway driving to nuanced low-speed city scenes with pedestrians, cyclists, and other vehicles. As a member of the Autonomous Systems team, you will get to research and develop prediction and planning algorithms that scale from simple scenes to complex intersection thereby ensuring predictable, safe, and human-like autonomous vehicle behavior.

During the course of your internship, you will have the chance to:

  • Develop state-of-the-art prediction and planning algorithms
  • Be responsible for testing your algorithms in simulation and real-world vehicles
  • Engage with other Autonomous Systems researchers

In order to qualify for this role, you must:

  • Currently be pursuing a Master’s or PhD degree in Mechanical, Electrical, or Software Engineering, Computer Science, Applied Mathematics, or a related field
  • GPA of 3.0 or above
  • Strong C++ or python coding ability
  • Strong organization ability with keen attention to detail
  • Be self-motivated and willing to challenge yourself to develop your talents and skillsets
  • Strong communication skills both written and oral