NVIDIA is seeking to solve challenges in vehicle autonomy by advancing cutting-edge techniques in the field. The goal is to transfer research into product groups to enable new products or types of products, with deliverables including prototypes, patents, products, and/or publishing original research.
Requirements
- Python, C++, CUDA, Deep Learning Frameworks (PyTorch, TensorFlow, etc.)
- Strong background in research with publications at top conferences.
- Experience with large-scale model training is a plus.
- Chain-of-Thought Reasoning
- Mixture-of-Experts
- Diffusion-LLMs
- Diffusion-based Trajectory Decoding
Responsibilities
- Design and implement cutting-edge techniques in the field of vehicle autonomy.
- Collaborate with other team members, teams, and/or external researchers.
- Transfer your research to product groups to enable new products or types of products.
- Deliverable results include prototypes, patents, products, and/or publishing original research.
Other
- Must be actively enrolled in a university pursuing a PhD degree in Computer Science, Electrical Engineering, or a related field, for the entire duration of the internship.
- Excellent communication and collaboration skills.
