NVIDIA Internships: Ph.D. Research Autonomous Vehicles

NVIDIA pioneered accelerated computing to tackle challenges no one else can solve. Our work in AI and digital twins is transforming the world's largest industries and profoundly impacting society - from gaming to robotics, self-driving cars to life-saving healthcare, climate change to virtual worlds where we can all connect and create.

Our internships offer an excellent opportunity to expand your career and get hands on experience with one of our industry leading Autonomous Vehicles teams. We're seeking strategic, ambitious, hard-working, and creative individuals who are passionate about helping us tackle challenges no one else can solve.

• 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.

• Must be actively enrolled in a university pursuing a Ph.D. degree in Computer Science, Electrical Engineering, or a related field, for the full duration of the internship;
  anticipated graduation date ( month and year ) must be clearly indicated on a resume or CV to be considered.
• Depending on the internship, prior experience or knowledge requirements could include the following programming skills and technologies:
  Python, C++, CUDA, Deep Learning Frameworks (PyTorch , Tensor Flow , etc.)
• Strong background in research with publications at top conferences.
• Excellent communication and collaboration skills.
• Experience with large-scale model training is a plus.

• Next-Generation AV Architectures
• Chain-of-Thought Reasoning
• Mixture-of-Experts
• Diffusion-LLMs
• Diffusion-based Trajectory Decoding