ML Perception Research Intern - Autonomous Driving

Nissan USA; Santa Clara (CA); On-site; USD 55,000 - 83,000; Full time

Job summary

Nissan invites master's or PhD students to join our Santa Clara, CA team as a Machine Learning Research Perception Intern. This role focuses on sensor integration, perception, and autonomous driving validation in a collaborative, research‑oriented environment.

You will work with engineers to evaluate sensors (LiDAR, cameras, radar), develop testing methodologies, analyze large‑scale datasets, and help advance perception algorithms for next‑generation mobility solutions.

Qualifications

• Must be enrolled in a Master’s or PhD degree in Mechanical Engineering, Electrical Engineering, Software Engineering, Computer Science, Robotics, or related field.
• GPA 3.0 or above; transcript may be requested.
• Strong programming skills in C++ and Python.
• Familiarity with Linux and ROS is a plus.

Responsibilities

• Gain hands-on experience evaluating sensors for autonomous driving.
• Assist integration of sensors into autonomous platforms and validate system performance.
• Develop testing methodologies and validate sensor data.
• Analyze large-scale datasets to assess perception performance and robustness.
• Collaborate with engineers to advance perception algorithms.

Skills

C++

Python

Analytical skills

Communication

Team collaboration

Education

Master's or PhD in ME/EE/CS/Robotics

Tools

ROS

Linux

Job description

Nissan invites master's or PhD students to join our Santa Clara, CA team as a Machine Learning Research Perception Intern. This role focuses on sensor integration, perception, and autonomous driving validation in a collaborative, research‑oriented environment.

You will work with engineers to evaluate sensors (LiDAR, cameras, radar), develop testing methodologies, analyze large‑scale datasets, and help advance perception algorithms for next‑generation mobility solutions.