AI Autonomous Driving Verification & Validation Intern - Summer 2027 - Santa Clara, CA

Nissan • Santa Clara, CA

4d • Onsite

About The Position

Nissan is seeking an intern to support verification and validation of end-to-end autonomous driving systems. The team works to ensure AI-powered systems are safe, reliable, and robust in real-world and simulated driving environments. The intern will work with engineers and researchers to develop testing, simulation, and evaluation frameworks, analyze driving behavior and system performance, and apply AI and data-driven techniques to advance autonomous driving validation. The role is part of a 12-week summer program and is listed in Santa Clara, California. The description also states that the candidate must be able to work onsite at Franklin, Tennessee.

Nissan provides opportunities for connection and collaboration through Business Synergy Teams (employee resource groups), as well as professional training and development through innovation offerings, seminars, learning platforms, and leadership training.

Requirements

• Currently enrolled in a Master's or PhD degree program in Computer Science, Robotics, Artificial Intelligence/Machine Learning, 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, including 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; an official or unofficial transcript must be provided during the application process for verification.
• Ability to perform work onsite at Franklin, Tennessee.
• Must be legally authorized to work in the United States and provide proof of employment eligibility at hire; sponsorship is not available.

Responsibilities

• Design and execute simulation-based tests for AI-powered autonomous driving systems.
• Develop data-driven tools, performance 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.

Benefits

• Business Synergy Teams (employee resource groups) and opportunities to connect with colleagues from similar and diverse backgrounds.
• Professional training and development through innovation offerings, seminars, learning platforms, and leadership training.

What This Job Offers

• Job Type: Full-time
• Career Level: Intern