Research Intern: Generative World Models for AVs

NVIDIA; Santa Clara (CA); On-site; USD 28,000 - 98,000; Full time

Benefits offered by this job

Intern benefits

Competitive hourly rate

Job summary

NVIDIA is seeking a Research Intern for the Autonomous Vehicle Applied Research team in Santa Clara, CA. You will develop generative world models and synthetic data pipelines to advance safe autonomy and evaluate their impact on AV models.

You will work with researchers across NVIDIA Research and the AV organization, publish findings, and contribute to scalable experimental systems. Strong ML and Python skills required; PhD/MS in a related field preferred.

Qualifications

• Pursuing a Ph.D. or MS in Computer Science, Electrical/Computer Engineering, Robotics, or related field with research in deep learning, computer vision, generative modeling, multimodal learning, robotics, or autonomous driving.
• Hands-on experience developing and evaluating neural-network 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, 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.

Skills

Python

Deep learning

Machine learning

Computer vision

Autonomous driving

Multimodal learning

Research experience

Neural networks

Education

PhD candidate

MS in CS/EE/Robotics

Tools

PyTorch

TensorFlow

Job description

NVIDIA is seeking a Research Intern for the Autonomous Vehicle Applied Research team in Santa Clara, CA. You will develop generative world models and synthetic data pipelines to advance safe autonomy and evaluate their impact on AV models.

You will work with researchers across NVIDIA Research and the AV organization, publish findings, and contribute to scalable experimental systems. Strong ML and Python skills required; PhD/MS in a related field preferred.