Research Intern: Generative World Models for AV Driving

NVIDIA Corporation (old); Santa Clara (CA); On-site; USD 55,104,000 - 202,507,000; Full time

Benefits offered by this job

Intern benefits

Job summary

NVIDIA Corporation's Autonomous Vehicle Applied Research team invites a Research Intern to advance generative world models and synthetic data for safe autonomy. You will work with researchers and engineers on scalable methods for training, evaluating, and improving AV systems.

You'll design and run large-scale experiments, contribute to publications, and translate recent advances into practical approaches for autonomous driving.

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 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.

Responsibilities

• Research and prototype generative world models, traffic world models, and synthetic-data generation methods for autonomous driving.
• Develop traffic world models capturing multi-agent interactions and reactive behaviors for simulating complex driving scenarios.
• Develop methods for controllable generation of diverse, interactive, and safety-critical driving scenarios.
• Explore generative video models, multimodal foundation models, traffic simulation, data curation, active learning, self-supervised learning, and simulation to improve data quality 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.

Skills

Python

Deep learning

Machine learning

Computer vision

Autonomous driving

Multimodal learning

Research proficiency

Education

MS or PhD in CS/EE/Robotics

Tools

PyTorch

TensorFlow

Job description

NVIDIA Corporation's Autonomous Vehicle Applied Research team invites a Research Intern to advance generative world models and synthetic data for safe autonomy. You will work with researchers and engineers on scalable methods for training, evaluating, and improving AV systems.

You'll design and run large-scale experiments, contribute to publications, and translate recent advances into practical approaches for autonomous driving.