Ph.D. Research Computer Vision and Deep Learning 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
Nearby: 99+ roles within 25 mi

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Similar $211k

$139k most similar roles pay here $277k

This listing doesn't post a salary. Most similar roles pay $166,800–$254,750.

Based on 240 similar postings.

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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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At a glance

TL;DR · Ph.D. Research Computer Vision and Deep Learning Intern

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NVIDIA 2027 Internships: Ph.D. Research Computer Vision and Deep Learning is a research-focused internship where you will join an industry-leading team to design and implement novel computer vision and deep learning methods. You will collaborate with internal teams and external researchers to develop prototypes, file patents, and publish original research while transferring findings to product groups to enable new technologies. The role requires candidates currently pursuing a Ph.D. in Computer Science, Electrical Engineering, or related fields. Required technical skills include Python, C++, CUDA, and Deep Learning Frameworks like PyTorch or TensorFlow. You will work on complex problems such as 3D Vision, Neural Rendering, World Models, and Model Architectures. Specific research areas include Scene Understanding, Human Motion Modeling, Novel View Synthesis, and Multimodal or Vision-Language Models to solve advanced challenges in the field of accelerated computing.

Skills

Computer Vision Deep Learning Python C++ CUDA PyTorch TensorFlow 3D Vision Scene Understanding Neural Rendering Diffusion Models NeRFs Vision Transformers Neural Architecture Search Synthetic Data Generation

What you'll do

Design and implement novel computer vision and deep learning methods.
Translate research findings into practical applications for product groups.
Develop prototypes to enable new types of products.
Produce original research for publication at top conferences.
File patents based on developed technologies and innovations.
Train large-scale models using frameworks like PyTorch or TensorFlow.
Optimize model architectures through pruning, compression, and neural architecture search.
Develop advanced 3D vision, generative modeling, or multimodal vision-language systems.

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 such as PyTorch or TensorFlow.
Strong background in research with publications at top conferences.
Excellent communication and collaboration skills.
Experience with large-scale model training (preferred).
Research experience in specific areas like 3D Vision, Neural Rendering, Model Architectures, or Multimodal Models.

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