AI Autonomous Driving Verification & Validation Intern

Nissan

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Work type
On-site
Location
Santa Clara, CA
Employment
Full-time
Posted
7 days ago
Freshness
Confirmed live today

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Similar $173k
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About Nissan

Nissan Motor Company is a multinational automobile manufacturer headquartered in Yokohama, Japan, designing and producing a wide range of vehicles including cars, trucks, SUVs, and electric vehicles under the Nissan and Infiniti brands. Industry: Automotive Manufacturing

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TL;DR · AI Autonomous Driving Verification & Validation Intern

The AI Autonomous Driving Verification & Validation Intern will join a team developing next-generation AI-powered autonomous driving systems. This role focuses on the verification and validation of end-to-end autonomy to ensure safety, reliability, and robustness across real-world and simulated driving environments. The intern will design and execute simulation-based tests, develop data-driven tools and performance metrics, and create analysis workflows to evaluate autonomous system behavior. Key responsibilities include applying machine learning and AI techniques to automate testing and monitoring processes while analyzing large-scale driving datasets to identify performance improvements. Required skills include proficiency in Python and modern machine learning frameworks like PyTorch or TensorFlow. Candidates must possess a strong foundation in robotics, artificial intelligence, and data-driven systems development to solve complex problems in autonomous mobility.

What you'll do

  • Design and execute simulation-based tests for AI-powered autonomous driving systems.
  • Develop data-driven tools, performance metrics, and analysis workflows to evaluate system reliability.
  • Apply machine learning and AI techniques to automate testing and performance monitoring processes.
  • Analyze large-scale driving datasets to investigate system performance and identify improvements.
  • Develop testing, simulation, and evaluation frameworks for autonomous vehicle systems.
  • Support the development of safe, robust, and scalable autonomous driving solutions.

What we're looking for

  • Must be currently enrolled in a Master's or PhD degree program in Computer Science, Robotics, AI/ML, Electrical Engineering, or a related field.
  • Must have a GPA of 3.0 or above.
  • Must be legally authorized to work in the United States.
  • Must be able to perform work onsite at Santa Clara, CA.
  • Strong foundation in machine learning, artificial intelligence, and data-driven systems development.
  • Proficiency in Python and modern machine learning frameworks such as PyTorch or TensorFlow.
  • Experience designing experiments, conducting research, analyzing data, and communicating technical findings.
  • Familiarity with simulation environments, autonomous systems, robotics, or advanced driver assistance technologies.

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