Internship

NVIDIA Summer 2024 Internships: Computer Architecture Intern

Posted on 1/17/2024

NVIDIA

NVIDIA

10,001+ employees

Designs GPUs and AI computing solutions

No salary listed

Company Historically Provides H1B Sponsorship

Remote in USA

Category
Backend Engineering
Embedded Engineering
Cloud Engineering
Software Engineering
Required Skills
Python
CUDA
Git
Data Structures & Algorithms
Perl
OpenGL
Requirements
  • Currently pursuing a Bachelor's, Master's, or PhD degree within a relevant or related field
  • Programming skills in C++, RTL, scripting languages (Python, Perl), modern graphics APIs (DirectX, OpenGL, Vulkan), GPU computing (CUDA, OpenCL), revision control (Perforce, Git), HPC (MPI, OpenMP)
  • Knowledge and coursework in computer architecture, and one or more of focused areas (computer graphics, deep learning, ray tracing, parallel programming, memory architecture, and high-performance computing systems)
Responsibilities
  • Designing new hardware features for future architectures by building and improving graphics or parallel processing algorithms and advancing the state of parallel computation
  • Crafting software for various hardware simulators, testing infrastructures or metrics systems including databases
  • Working in a team to document, design, and develop tools to analyze and simulate, validate, and verify functional or performance models

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 main products are GPUs that enhance gaming experiences and support professional applications, along with AI and high-performance computing platforms for developers and data scientists. NVIDIA stands out from competitors by offering a combination of hardware and software solutions, including cloud-based services like NVIDIA CloudXR and NGC, which enable scalable applications in AI and machine learning. The company's goal is to drive innovation in technology and provide advanced solutions that cater to a wide range of clients, from gamers to enterprises.

Company Size

10,001+

Company Stage

IPO

Headquarters

Santa Clara, California

Founded

1993

Simplify Jobs

Simplify's Take

What believers are saying

  • NVIDIA's acquisition of Gretel strengthens its AI training data capabilities.
  • Partnership with Together AI expands NVIDIA's influence in AI cloud infrastructure.
  • Backing ClustroAI aligns NVIDIA with the trend of local device AI processing.

What critics are saying

  • Increased competition from startups like Lambda challenges NVIDIA's AI market share.
  • Integration challenges with Gretel may delay synthetic data utilization.
  • Investment in SandboxAQ could be risky if quantum AI models underperform.

What makes NVIDIA unique

  • NVIDIA leads in AI and HPC with cutting-edge GPU technology.
  • Acquisitions like Lepton AI enhance NVIDIA's cloud and AI capabilities.
  • NVIDIA's strategic investments in quantum AI models set it apart from competitors.

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Benefits

Company Equity

401(k) Company Match

Growth & Insights and Company News

Headcount

6 month growth

0%

1 year growth

1%

2 year growth

-1%
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