Ph.D. Research Autonomous Vehicles Intern

Nvidia

Confirmed live yesterday Trusted

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Work type
On-site
Location
Santa Clara, CA
Posted
23 days ago
Freshness
Confirmed live yesterday

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Similar $208k
$149k most similar roles pay here $277k

This listing doesn't post a salary. Most similar roles pay $160,937–$254,750.

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About Nvidia

Nvidia is a leading designer of graphics processing units (GPUs) and system-on-chip units, powering gaming, professional visualization, data centers, and artificial intelligence workloads. Industry: Semiconductors & AI Computing

Nvidia currently has 896 open roles on FindRole.

Listed pay typically runs $184,000–$287,500 across 876 roles with salary data.

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TL;DR · Ph.D. Research Autonomous Vehicles Intern

NVIDIA 2027 Internships: Ph.D. Research Autonomous Vehicles is a research internship within the Autonomous Vehicles team focused on solving complex challenges in vehicle autonomy. The role involves designing and implementing cutting-edge techniques, collaborating with internal teams and external researchers, and transferring research to product groups to enable new products. Deliverables include prototypes, patents, products, and original research publications. Candidates should possess a Ph.D. in Computer Science, Electrical Engineering, or a related field. Required skills include Python, C++, CUDA, and Deep Learning Frameworks like PyTorch or TensorFlow. The work involves specific domains such as Next-Generation AV Architectures, Chain-of-Thought Reasoning, Diffusion-LLMs, Policy Training Strategies, Reinforcement Learning, Foundation Models, Simulation and Behavior Modeling, Perception and Representation Learning, and Safe and Trustworthy Autonomous Systems. Experience with large-scale model training is also considered a plus for this role.

What you'll do

  • Design and implement cutting-edge techniques in the field of vehicle autonomy.
  • Translate research findings into practical applications for product groups to enable new products.
  • Develop prototypes and file patents based on original research.
  • Publish original research in top-tier academic conferences.
  • Train large-scale models using frameworks like PyTorch or TensorFlow.
  • Optimize inference efficiency through techniques such as parallel or speculative decoding.
  • Develop simulation environments, digital twins, and behavior modeling for autonomous systems.
  • Implement perception and representation learning including 2D/3D detection and sensor fusion.

What we're looking for

  • Must be actively enrolled in a university pursuing a Ph.D. degree in Computer Science, Electrical Engineering, or a related field.
  • Must provide an anticipated graduation date (month and year) on the resume or CV.
  • Proficiency in Python, C++, CUDA, and Deep Learning Frameworks like PyTorch or TensorFlow.
  • Strong research background with publications at top conferences.
  • Excellent communication and collaboration skills.
  • Experience with large-scale model training (preferred).
  • Research experience in specific areas such as AV Architectures, LLMs, Reinforcement Learning, Perception, or Safety-aware systems.

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