Internship

Deep Learning Computer Architecture

Posted on 1/8/2025

NVIDIA

NVIDIA

10,001+ employees

Designs GPUs and AI computing solutions

Compensation Overview

$18 - $71/hr

Company Historically Provides H1B Sponsorship

Santa Clara, CA, USA

Category
Applied Machine Learning
Deep Learning
AI & Machine Learning
Required Skills
Python
Tensorflow
CUDA
Pytorch
Machine Learning
Perl
C/C++
Requirements
  • Course or internship experience related to Computer Architecture
  • Course or internship experience related to Deep Learning or Machine Learning
  • Course or internship experience related to GPU computing and parallel programming
  • Course or internship experience related to performance modeling, profiling, optimizing, and/or analysis
  • C programming skills
  • C++ programming skills
  • Python programming skills
  • Perl programming skills
  • GPU Computing (CUDA, OpenCL, OpenACC)
  • Deep Learning Frameworks (PyTorch, TensorFlow, Caffe)
  • HPC (MPI, OpenMP)

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, particularly GPUs, are essential for high-performance computing and artificial intelligence applications. NVIDIA's GPUs work by processing large amounts of data simultaneously, making them ideal for tasks like gaming graphics and complex computations in AI and machine learning. Unlike many competitors, NVIDIA focuses heavily on both hardware and software solutions, offering cloud-based services that enhance the capabilities of their products. The company's goal is to lead in AI and HPC technology, continuously driving innovation to meet the needs of gamers, researchers, and enterprises.

Company Size

10,001+

Company Stage

IPO

Headquarters

Santa Clara, California

Founded

1993

Simplify Jobs

Simplify's Take

What believers are saying

  • Acquisition of Gretel enhances AI training with robust synthetic data capabilities.
  • Integration of Augtera Networks boosts NVIDIA's data center networking efficiency.
  • Backing ClustroAI aligns with the trend of local device AI processing.

What critics are saying

  • Increased competition from AI cloud platforms like Lambda and Together AI.
  • Potential integration challenges with Gretel affecting operational efficiency.
  • Investment in ClustroAI may cannibalize NVIDIA's cloud-based AI solutions.

What makes NVIDIA unique

  • NVIDIA leads in AI and HPC with cutting-edge GPU technology.
  • The company excels in diverse markets: gaming, data centers, and autonomous vehicles.
  • NVIDIA's Omniverse platform enhances industrial AI applications and digital twin creation.

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Benefits

Company Equity

401(k) Company Match

Growth & Insights and Company News

Headcount

6 month growth

0%

1 year growth

0%

2 year growth

-1%
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CoinCentral
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NVIDIA-Backed Edge AI Startup ClustroAI Raises $12M to Bring AI Processing to Local Devices - CoinCentral

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