Ph.D. Research Generative AI Intern

Nvidia

Confirmed live yesterday High trust

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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

$156k most similar roles pay here $276k

This listing doesn't post a salary. Most similar roles pay $169,350–$253,362.

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 Generative AI Intern

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The NVIDIA 2027 Internships: Ph.D. Research Generative AI role places you within a leading Generative AI team where you will design and implement algorithms pushing the boundaries of generative AI, computer vision, robotics, and other relevant technology domains. You will collaborate with internal teams and external researchers to develop prototypes, patents, products, and original research publications while transferring findings to product groups to enable new offerings. The role requires a Ph.D. student in Computer Science or Electrical Engineering proficient in Python, C++, CUDA, and Deep Learning Frameworks like PyTorch, JAX, or TensorFlow. Candidates should possess strong research backgrounds with publications at top conferences. Specific domain expertise may include Multimodal Foundation Models, Diffusion Models, World Models, Large Language Models, Vision-Language Models, Action-Based Transformers, Long Context Methods, Physics-Based Simulation, and Synthetic Data Generation.

Skills

Python C++ CUDA PyTorch JAX TensorFlow Deep Learning Generative AI Computer Vision Large Language Models Diffusion Models Multimodal Foundation Models World Models Action-Based Transformers Physics-Based Simulation Synthetic Data Generation Partial Differential Equations

What you'll do

Design and implement algorithms for generative AI, computer vision, and robotics.
Translate research findings into practical applications for product groups to enable new products.
Develop prototypes and technical solutions to solve complex challenges in relevant technology domains.
Publish original research at top conferences within the field of artificial intelligence.
File patents based on innovative research and technological advancements.
Conduct large-scale model training using frameworks like PyTorch, JAX, or TensorFlow.
Develop models for specific areas such as Diffusion Models, LLMs, or Multimodal Foundation Models.

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.
Resume must clearly indicate the anticipated graduation date (month and year).
Proficiency in Python, C++, CUDA, and Deep Learning Frameworks like PyTorch, JAX, 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 areas such as Multimodal Foundation Models, Diffusion Models, World Models, or Large Language Models.
Research experience in specialized fields like AI for Science, Climate Modeling, or Physics-Based Simulation.

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