Machine Learning Research Perception Intern - Spring 2027 - Santa Clara, CA

Nissan Motor Corporation • Santa Clara, CA

11d • Onsite

About The Position

Nissan is seeking a Machine Learning Research Perception Intern to contribute to mobility and autonomous driving technologies in Santa Clara, California. The intern will work with engineers and researchers on next-generation sensor integration and real-world performance evaluation for autonomous driving systems. The role offers hands-on experience across the sensor validation lifecycle, including system integration, experimental design, vehicle-based testing, and machine learning-driven data analysis.

Requirements

• Currently enrolled in a Master's or PhD degree program in Mechanical Engineering, Electrical Engineering, Software Engineering, Computer Science, or a related field.
• GPA of 3.0 or above; an official or unofficial transcript will be required during the application process for verification.
• Strong programming skills in C++ and/or Python.
• Strong analytical, problem-solving, and communication skills.
• Self-motivated and willing to challenge oneself and continuously develop technical capabilities.
• Ability to work effectively in a collaborative research and development environment.
• Interest in autonomous driving systems, perception technologies, robotics, or machine learning.
• Must be legally authorized to work in the United States and provide proof of employment eligibility at hire.

Nice To Haves

• Experience with autonomous systems, robotics, or sensor technologies such as LiDAR, radar, cameras, or related sensing platforms.
• Experience designing experiments and analyzing real-world datasets.
• Familiarity with Linux and Robot Operating System (ROS).
• Exposure to sensor fusion, perception algorithms, machine learning, or data analytics techniques.
• Experience working with large-scale autonomous vehicle datasets.

Responsibilities

• Support the integration and evaluation of next-generation sensing technologies for autonomous vehicles.
• Develop testing and validation methodologies for autonomous driving systems.
• Support vehicle-based experiments and sensor testing.
• Analyze real-world and large-scale sensor datasets to evaluate performance, robustness, reliability, and system-level impact.
• Contribute to sensor fusion, experimental design, performance metric development, and data-driven performance evaluation.
• Collaborate with autonomous vehicle engineers and researchers on perception-focused projects and advanced mobility technologies.

Benefits

• Business Synergy Teams (ERGs) and opportunities to connect with employees from similar and diverse backgrounds.
• Professional training and development through innovation offerings, seminars, learning platforms, and leadership trainings.

What This Job Offers

• Career Level: Intern