Research Intern, World Models and Synthetic Data for Autonomous Driving - Summer 2027
NVIDIA· Intern
Santa Clara, CA$20/hr - $71/hr internshipPosted 1w ago
About the role
Research Intern in Autonomous Vehicle Applied Research focusing on generative world models and synthetic data for safe autonomy in driving environments.
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, enabling simulation and generation of complex driving scenarios.
- Develop methods for controllable generation of diverse, interactive, and safety-critical driving scenarios.
- Explore how generative video models, multimodal foundation models, traffic simulation, data curation, active learning, self-supervised learning, and simulation can improve training-data quality, diversity, and coverage.
- Design and conduct experiments to understand how generated data affects AV model performance, robustness, and generalization.
- Translate recent advances in generative modeling and machine learning into practical approaches for autonomous driving.
- Collaborate closely with researchers and engineers across NVIDIA on research prototypes and experimental systems.
- Contribute to high-impact research publications and open research efforts.
Qualifications
- Currently pursuing a Ph.D. or M.S. in Computer Science, Electrical/Computer Engineering, Robotics, or a related field, with research experience in deep learning, computer vision, generative modeling, multimodal learning, robotics, or autonomous driving.
- Strong foundations in machine learning and deep learning, with hands-on experience developing and evaluating neural-network models.
- Experience in one or more of the following areas: generative models, video generation, multimodal learning, 3D computer vision, autonomous driving, or robotics.
- Strong mathematical and analytical skills and an interest in designing rigorous experiments.
- 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.
Skills
Required:Generative modelingMultimodal learningPython
Nice to have:Video generation3D computer vision
Benefits
- Intern benefits (see https://www.nvidia.com/en-us/benefits/interns/)
Last updated Oct 16, 2026. Interested? Apply on the company site.
About NVIDIA
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NVIDIA invents the GPU and drives advances in AI, HPC, gaming, creative design, autonomous vehicles, and robotics.
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