About The Position

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 Perception to join our team in May 2026. As perception researcher, you will work with appropriate training datasets, select and train advanced networks for road user detection and/or road structure estimation, and will evaluate your work both offline in simulation and online in real-world testing. As a member of the Autonomous Systems team, you will get to research and develop perception algorithms that scale from simple scenes to complex intersections thereby ensuring predictable, safe, and human-like autonomous vehicle behavior. Think you’ve got the internal drive to support the production of great vehicles and join a winning team? Apply for this position and start the process to kick your career into high gear. During the course of your internship, you will have the chance to:

Requirements

  • 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

Responsibilities

  • Develop state-of-the-art perception and/or road structure estimation algorithms
  • Be responsible for testing your algorithms in simulation and real-world vehicles
  • Engage with other Autonomous Systems researchers
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