Research Intern - Autonomous Vehicle Applied Research

Join the Autonomous Vehicle (AV) Applied Research team at NVIDIA and contribute to advancing safe autonomy through generative world models and synthetic data. As a Research Intern, you will work on developing and using world models to understand data coverage, generate targeted driving scenarios, and study how synthetic data can improve AV models.

Responsibilities:

• Research and prototype generative world models, traffic world models, and synthetic-data generation methods for autonomous driving.
• Develop traffic world models that capture multi-agent interactions and realistic, reactive behaviors.
• Design methods for controllable generation of diverse, interactive, and safety-critical driving scenarios.
• Explore how generative video models, multimodal foundation models, and simulation can improve training-data quality, diversity, and coverage.
• Conduct experiments to understand how generated data affects AV model performance, robustness, and generalization.
• Collaborate with researchers and engineers across NVIDIA on research prototypes and experimental systems.
• Contribute to high-impact research publications and open research efforts.

Requirements:

• Currently pursuing a Ph.D. or M.S. in Computer Science, Electrical/Computer Engineering, Robotics, or a related field.
• Strong foundations in machine learning and deep learning.
• Experience in one or more of the following areas: generative models, video generation, multimodal learning, 3D computer vision, autonomous driving, or robotics.
• Strong Python programming skills and experience with modern deep learning frameworks.
• Self-motivated, collaborative, and comfortable working in a research environment with open-ended problems.

Benefits:

• Competitive hourly rate: $20-$71 per hour
• Comprehensive benefits package
• Opportunity to work with a talented team of researchers and engineers
• Chance to contribute to high-impact research publications and open research efforts