Autonomous Driving Perception ML Research Intern

Nissan Motor Iberica SA; Santa Clara (CA); On-site; USD 20,000 - 32,000; Part time

Benefits offered by this job

Professional training and development

Job summary

Nissan in Santa Clara, CA is seeking a Machine Learning Research Intern in Perception to contribute to sensor validation and autonomous driving development. You will work with engineers and researchers on integrating sensors into platforms, designing validation methodologies, and analyzing large-scale datasets.

The role emphasizes hands-on learning in sensor fusion, perception algorithms, and machine learning-driven performance evaluation within a collaborative R&D environment.

Qualifications

• Must be currently enrolled in a Master’s or PhD program in Mechanical Engineering, Electrical Engineering, Software Engineering, Computer Science, or related field.
• GPA 3.0+; transcript may be requested during application.
• Strong programming skills in C++ and/or Python.

Responsibilities

• Gain hands-on experience with the complete sensor validation workflow, from system integration and interface development to vehicle testing and data-driven performance evaluation.
• Develop practical skills in autonomous driving system engineering, including sensor fusion, experimental design, performance metric development, and large-scale data analysis.
• Support the integration and evaluation of next-generation sensing technologies for autonomous vehicles.
• Analyze real-world sensor data to derive insights on system performance, robustness, and reliability.
• Collaborate with senior autonomous vehicle engineers and researchers on perception-focused projects and advanced mobility technologies.

Skills

C++

Python

Analytical skills

Communication skills

Collaboration

Education

Master's or PhD in Mechanical Engineering / Electrical Engineering / Software Engineering / Computer Science / Robotics

Tools

Linux

ROS

Job description

Nissan in Santa Clara, CA is seeking a Machine Learning Research Intern in Perception to contribute to sensor validation and autonomous driving development. You will work with engineers and researchers on integrating sensors into platforms, designing validation methodologies, and analyzing large-scale datasets.

The role emphasizes hands-on learning in sensor fusion, perception algorithms, and machine learning-driven performance evaluation within a collaborative R&D environment.