Internship

PhD Research Intern

Generative AI

Confirmed live in the last 24 hours

NVIDIA

NVIDIA

10,001+ employees

Designs GPUs and AI computing solutions

Automotive & Transportation
Enterprise Software
AI & Machine Learning
Gaming

Compensation Overview

$30 - $90Hourly

Remote in USA + 1 more

More locations: Santa Clara, CA, USA

Remote option available.

Category
Applied Machine Learning
Deep Learning
AI Research
AI & Machine Learning
Required Skills
Python
Computer Vision
Requirements
  • Currently pursuing a PhD Degree in relevant discipline(s) (CS, CE, EE, Physics, Math).
  • Research experience in at least one of the following areas: Multimodal Foundation Models, Image, Video, or Audio Generation, Diffusion Models, Large Language Models, Vision-Language Models, Action-Based Transformers, Long Context Methods, Physics-Based Simulation, Flow Based Generative Models, AI for Science: Drug Discovery, Climate Modeling, Weather Forecasting, Structural Biology.
  • Strong research track record and publication record at top-tier conferences.
  • Excellent communication skills.
  • Strong programming skills: Python preferred. Experience with large-scale model training is a plus.
Responsibilities
  • Design and implement algorithms extending the state of the art in generative AI, computer vision, robotics and other technology areas surrounding NVIDIA's business.
  • 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, and products.

NVIDIA designs and manufactures graphics processing units (GPUs) and system on a chip units (SoCs) for various markets, including gaming, professional visualization, data centers, and automotive. Their products include GPUs tailored for gaming and professional use, as well as platforms for artificial intelligence (AI) and high-performance computing (HPC). These products help developers, data scientists, and IT administrators perform complex tasks efficiently. NVIDIA stands out from competitors by offering a combination of hardware and software solutions, including cloud-based services like NVIDIA CloudXR and NGC, which enhance user experiences in AI, machine learning, and computer vision. The company's goal is to drive innovation in technology and provide advanced solutions to a wide range of clients, from gamers to enterprises.

Company Stage

IPO

Total Funding

$19.5M

Headquarters

Santa Clara, California

Founded

1993

Growth & Insights
Headcount

6 month growth

9%

1 year growth

27%

2 year growth

45%
Simplify Jobs

Simplify's Take

What believers are saying

  • Acquisition of VinBrain boosts NVIDIA's AI capabilities in Asia.
  • Investment in Ayar Labs enhances scalable AI infrastructure solutions.
  • Participation in Nebius Group financing strengthens European AI market presence.

What critics are saying

  • Rising competition from well-funded AI companies like xAI and Crusoe.
  • Ayar Labs' optical solutions may challenge NVIDIA's AI infrastructure dominance.
  • Resource allocation to acquisitions may impact NVIDIA's core operations.

What makes NVIDIA unique

  • NVIDIA leads in AI and HPC with cutting-edge GPU technology.
  • The company excels in gaming and professional visualization markets.
  • NVIDIA's cloud services offer scalable AI and machine learning solutions.

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