Internship

PhD Research Intern

Generative AI, 2025

Confirmed live in the last 24 hours

NVIDIA

NVIDIA

10,001+ employees

Designs and manufactures GPUs and AI solutions

Enterprise Software
AI & Machine Learning
Gaming

Compensation Overview

$30 - $90Hourly

Remote in USA + 1 more

More locations: Santa Clara, CA, USA

Hybrid role with Santa Clara as a primary location and remote option available.

Category
Applied Machine 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, primarily GPUs, are used for high-performance computing and artificial intelligence applications. NVIDIA's GPUs work by processing large amounts of data simultaneously, making them ideal for tasks that require significant computational power, such as gaming graphics and AI model training. Unlike many competitors, NVIDIA focuses on both hardware and software solutions, offering cloud-based services that enhance the capabilities of their products. The company's goal is to drive innovation in AI and high-performance computing, providing advanced solutions that cater to a wide range of clients, from gamers to researchers and enterprises.

Company Stage

IPO

Total Funding

$19.5M

Headquarters

Santa Clara, California

Founded

1993

Growth & Insights
Headcount

6 month growth

15%

1 year growth

27%

2 year growth

45%
Simplify Jobs

Simplify's Take

What believers are saying

  • NVIDIA's diverse investment portfolio offers employees exposure to cutting-edge technologies and industries, fostering a dynamic and innovative work environment.
  • The company's strategic acquisitions and partnerships provide opportunities for professional growth and cross-industry collaboration.
  • NVIDIA's strong financial backing and market leadership ensure stability and resources for continued innovation and development.

What critics are saying

  • NVIDIA's expansion into various sectors may dilute its focus and resources, potentially impacting its core GPU business.
  • The competitive landscape in AI, robotics, and autonomous vehicles is intense, posing challenges for NVIDIA to maintain its leadership position.

What makes NVIDIA unique

  • NVIDIA's strategic investments in diverse sectors like robotics, AI disease modeling, and driverless trucks highlight its commitment to pioneering technologies beyond its core GPU business.
  • The acquisition of Shoreline.io, a software startup, indicates NVIDIA's focus on enhancing its software capabilities, setting it apart from competitors primarily focused on hardware.
  • NVIDIA's involvement in significant funding rounds for companies like Mistral AI and Bright Machines showcases its influence and leadership in the AI and intelligent manufacturing sectors.

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