Research Intern, World Models and Synthetic Data for Autonomous Driving - Summer 2027

• 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.

• 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.

• Publications or research projects at conferences such as NeurIPS, ICML, ICLR, CVPR, ICCV, ECCV, or related venues.
• Hands-on experience with generative world models, video generation, diffusion models, autoregressive models, multimodal foundation models, or synthetic-data generation.
• Experience working with large-scale video, driving, robotics, or simulation datasets.
• Experience with autonomous driving, embodied AI, physical AI, 3D scene understanding, or end-to-end learning.
• Demonstrated ability to take a research idea from hypothesis → implementation → experimentation → quantitative evaluation.

Widely considered to be one of the technology world's most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. As you plan your future, see what we can offer to you and your family www.nvidiabenefits.com/

Our internship hourly rates are a standard pay based on the position, your location, year in school, degree, and experience. The hourly rate for our interns is 20 USD - 71 USD.

You will also be eligible for Intern benefits . ​

Applications for this job will be accepted at least until October 13, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.