AI Autonomous Driving Verification & Validation Intern - Summer 2027 - Santa Clara, CA
About The Position
Nissan is seeking an AI Autonomous Driving Verification & Validation Intern to join its team in Santa Clara, California, for a 12-week summer program. The intern will work with engineers and researchers developing verification and validation approaches for end-to-end, AI-powered autonomous driving systems. The work focuses on ensuring systems are safe, reliable, and robust in real-world and simulated driving environments. The intern will help develop testing, simulation, and evaluation frameworks; analyze driving behavior and system performance; and apply AI and data-driven methods to improve validation of autonomous driving technologies. The role is intended for students interested in autonomous vehicles, AI, machine learning, robotics, and large-scale system evaluation. The position is described as onsite, although the posting also lists the ability to work onsite at Franklin, Tennessee, despite the stated Santa Clara, California location.
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 is required 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; employment eligibility is validated using E-Verify.
- Successful completion of drug and background screenings in accordance with Nissan policies and applicable laws.
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.
- 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 (ERGs) and opportunities to build relationships and foster belonging.
- Professional training and development through innovation offerings, seminars, learning platforms, and leadership trainings.
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What This Job Offers
Job Type
Full-time
Career Level
Intern
