AI Autonomous Driving Verification & Validation Intern
Nissan Motor Corporation
Santa Clara, CAFresher1h agovia LinkedIn
This job at a glance
- Who can apply
- New grads and up to 1 year
- Must know
- Machine learningPythonPyTorchTensorFlow
- Work
- On-site in Santa Clara · internship
- Pay
- Not stated by the employer.
- Skill demand
- Python56%Machine learning26%PyTorch5%TensorFlow2%of 99 similar entry-level jobs posted in the US this week
- Listed
- Nov 11, 2026 · still open
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About the Role
Join a team developing the next generation of AI-powered autonomous driving systems, focusing on verification and validation (V&V) of end-to-end autonomy. Ensure these systems are safe, reliable, and robust across real-world and simulated driving environments. As an intern, you will work alongside engineers and researchers to develop testing, simulation, and evaluation frameworks for autonomous vehicles, analyze driving behavior, investigate system performance, and apply AI and data-driven techniques.
Key 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.
Requirements & Tech Stack
- Must be currently enrolled in a Master's or PhD degree program.
- Degree field: 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 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.
- Ability to perform work onsite at Santa Clara, CA.
Internship Details
- Location: Santa Clara, CA
- Schedule: Full-time, 12-week program
- Sponsorship: Not Available