Research Intern, World Models and Synthetic Data for Autonomous Driving - Summer 2027
$0k - $0k • Remote • US, CA, Santa Clara
Posted 7d ago
Job Location
US, CA, Santa Clara
Tech Stack
Remote Work Policy
Fully remote
Categories
AI Research Engineer
About the job
Join the Autonomous Vehicle (AV) Applied Research team to advance safe autonomy using generative world models and synthetic data. This internship offers the chance to collaborate with researchers and engineers on next-generation models for understanding, simulating, and reasoning about complex driving environments. We seek a motivated intern with a strong machine learning background and interest in generative world models, multimodal foundation models, and synthetic data generation. The team works closely with NVIDIA Research and the AV organization to develop scalable methods for training, evaluating, and improving autonomous systems, focusing on generative video and world models, controllable scenario generation, multimodal learning, end-to-end driving, 3D computer vision, and data-centric learning. The goal is to use generative models to create diverse, safety-critical driving experiences that enhance the robustness and generalization of autonomous systems.
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 behaviors for complex scenario simulation and generation.
- Create 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 assess the impact of generated data on AV model performance, robustness, and generalization.
- Translate advances in generative modeling and machine learning into practical autonomous driving approaches.
- Collaborate with researchers and engineers 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.
- 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 with experience 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.
Benefits
- Highly competitive salaries
- Comprehensive benefits package
- Intern benefits
- Internship hourly rates