AI-Driven Autonomous Driving V&V Intern

Nissan USA; Santa Clara (CA); On-site; USD 28,000 - 55,000; Full time

Job summary

Nissan in Santa Clara, CA is seeking an AI Autonomous Driving Verification & Validation Intern to join our team. You will work with engineers to develop testing, simulation, and evaluation frameworks for AI-powered autonomous vehicles.

You will analyze driving data, apply machine learning techniques, and help ensure safety and reliability across real-world and simulated environments. This internship offers hands-on experience in a cutting-edge mobility program.

Qualifications

• Must be enrolled in a Master's or PhD program in Computer Science, Robotics, Artificial Intelligence/ML, Electrical Engineering, or a related field.
• Strong foundation in machine learning, artificial intelligence, and data-driven systems development.
• Experience designing experiments, conducting research, analyzing data, and communicating technical findings.
• Proficiency in Python and modern machine learning frameworks such as PyTorch, TensorFlow, or similar technologies.
• Familiarity with simulation environments, autonomous systems, robotics, or advanced driver assistance technologies.
• Strong analytical and problem-solving skills with the ability to evaluate complex system performance.
• Interest in autonomous systems, simulation-based testing, safety validation, and end-to-end AI driving solutions.
• Ability to work effectively in a collaborative research and development environment.
• GPA of 3.0 or above (Candidates will be required to provide an official or unofficial transcript during the application process for verification.)
• Ability to perform work onsite at Santa Clara, CA.

Responsibilities

• Design and execute simulation-based tests for AI-powered autonomous driving systems.
• Develop data-driven metrics and analysis workflows to evaluate autonomous system behavior and reliability.
• Apply machine learning and AI techniques to automate testing, validation, and performance monitoring processes.
• Analyze large-scale driving datasets to investigate system performance and identify opportunities for improvement.
• Collaborate with engineers and researchers to support the development of safe, robust, and scalable autonomous driving solutions.

Skills

Python

Machine Learning

Data Analysis

Experiment Design

Communication

Education

Master's or PhD in Computer Science / Robotics / AI / EE

Tools

PyTorch

TensorFlow

Job description

Nissan in Santa Clara, CA is seeking an AI Autonomous Driving Verification & Validation Intern to join our team. You will work with engineers to develop testing, simulation, and evaluation frameworks for AI-powered autonomous vehicles.

You will analyze driving data, apply machine learning techniques, and help ensure safety and reliability across real-world and simulated environments. This internship offers hands-on experience in a cutting-edge mobility program.