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Internship

NVIDIA 2025 Internships: Deep Learning Computer Architecture

Confirmed live in the last 24 hours

NVIDIA

NVIDIA

10,001+ employees

Develops GPUs for AI and computing

Robotics & Automation
Automotive & Transportation
Consumer Software
AI & Machine Learning

Compensation Overview

$18 - $71Hourly

+ Intern Benefits

Remote in USA + 1 more

More locations: Santa Clara, CA, USA

Category
Deep Learning
AI & Machine Learning
Required Skills
Python
Tensorflow
CUDA
Pytorch
Requirements
  • Course or internship experience related to the following areas could be required:
  • Computer Architecture
  • Deep Learning or Machine Learning
  • GPU computing and parallel programming
  • Performance modeling, profiling, optimizing, and/or analysis
  • Depending on the internship role, prior experience or knowledge requirements could include the following programming skills and technologies:
  • C, C++, Python, Perl, GPU Computing (CUDA, OpenCL, OpenACC), Deep Learning Frameworks (PyTorch, TensorFlow, Caffe), HPC (MPI, OpenMP)
Responsibilities
  • Throughout the minimum 12-week internship, students will work on projects that have a measurable impact on our business.

NVIDIA is a top-tier employer for those inclined towards cutting-edge technology and AI data processing. They are crucial in driving the accelerated computing paradigm with their development of GPU technology, which has fundamentally altered computer graphics and powers data center solutions across multiple industries. This makes them a brand name not just in technology, but also in innovation within digital realms like the metaverse.

Company Stage

Grant

Total Funding

$4.2B

Headquarters

Santa Clara, California

Founded

1993

Growth & Insights
Headcount

6 month growth

14%

1 year growth

21%

2 year growth

35%
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.