About the role#
Join the Autonomous Vehicle Applied Research team to advance safe autonomy through generative world models and synthetic data. You will work alongside researchers and engineers to develop models that understand, simulate, and reason about complex driving environments. The team focuses on generative video models, controllable scenario generation, multimodal learning, and data-centric approaches to improve the robustness of autonomous systems.
What you'll do#
- 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.
- Create methods for controllable generation of diverse, interactive, and safety-critical driving scenarios.
- Explore how generative video models, multimodal foundation models, traffic simulation, active learning, and self-supervised learning can improve training-data quality and coverage.
- Design experiments to understand how generated data affects autonomous vehicle model performance, robustness, and generalization.
- Translate recent advances in generative modeling and machine learning into practical approaches for autonomous driving.
- Collaborate with researchers and engineers across the company on research prototypes and experimental systems.
- Contribute to high-impact research publications and open research efforts.
What you'll need#
- 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.
- Strong mathematical and analytical skills.
- Strong Python programming skills and experience with modern deep learning frameworks.
- A self-motivated, collaborative approach to working in a research environment with open-ended problems.
Location & details#
- Location: Santa Clara, California.
- Term: Summer 2027.
- Status: Full-time internship, paid.
About NVIDIA
NVIDIA operates as a computer hardware manufacturer based in Santa Clara, California. Founded in 1993, the company focuses on accelerated computing and graphics technology. It produces hardware for markets including artificial intelligence, gaming, and data centers. The organization employs over 50,000 people and maintains a global presence.
How to get in at NVIDIA
Applying early gives you a distinct advantage at NVIDIA because recruiters review applications as they arrive. Intern Insider sends an instant alert the moment a role matching your target is published, so you can apply among the first before the pile grows. Getting your resume in front of a human early is often the difference between a screening call and a rejection. You can use Intern Insider to surface the recruiters behind NVIDIA roles to reach out directly. Asking a recruiter about the role or a referral materially improves your response rates compared to submitting into a general queue. It is a simple way to make your application stand out in a competitive process.
