Internship

NVIDIA 2025 Ignite Internships: Software Engineering

Posted on 10/18/2024

NVIDIA

NVIDIA

10,001+ employees

Designs GPUs and AI computing solutions

Automotive & Transportation
Enterprise Software
AI & Machine Learning
Gaming

Compensation Overview

$18 - $54Hourly

Santa Clara, CA, USA

Internship is on-site in Santa Clara, CA. NVIDIA will cover one-time round trip for students traveling over 50 miles and provide a supplemental housing stipend.

Category
Backend Engineering
Embedded Engineering
Software QA & Testing
Software Engineering
Required Skills
Python
Data Structures & Algorithms
Perl
Computer Vision
Requirements
  • You are currently a first-year (class of 2028) or second year (class of 2027) undergrad pursuing your bachelor’s degree at a four-year university in the United States in either of the following: CS, CE, EE, Mathematics, or related fields
  • Creativity and problem-solving mentality; willingness to develop new skills; ability to adapt to new experiences
  • The desire to learn new concepts and tools in a growing and evolving workspace
  • Passion for diverse work assignments and enjoy the opportunity to try innovative approaches to overcome challenges
  • Ability to develop relationships across a wide array of partners and build support for our core mission
  • Extra-curricular interest in technical fields is a plus!
  • Enrolled in courses in computing and engineering, specifically geared towards SW basics
  • Basic knowledge of one of the following programming languages C, C++, Python, Perl
  • Demonstrated initiative to learn about technology, computers, artificial intelligence, machine learning, computer vision, robotics, parallel computing, etc.
  • General understanding of data structures and algorithm time/space complexity
  • Understanding of mathematical fundamentals, including linear algebra and numerical methods
  • Foundations of the computer memory model (disk, memory, caches), CPU and GPU architectures, networking, numeric libraries, and modular software design
  • Knowledge of high-performance computing
  • Familiarity with operating system concepts (threads, process control, memory/resource management, virtual memory, etc.)

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) that cater to developers, data scientists, and IT administrators. NVIDIA generates revenue through the sale of hardware, software solutions, and cloud-based services, such as NVIDIA CloudXR and NGC, which enhance experiences in AI, machine learning, and computer vision. What sets NVIDIA apart from competitors is its strong focus on research and development, allowing it to maintain a leadership position in a competitive market. The company's goal is to drive innovation and provide advanced solutions that meet the needs of a diverse clientele, including gamers, researchers, and 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

  • NVIDIA's investment in Ayar Labs boosts scalable AI infrastructure with optical interconnect solutions.
  • Acquiring VinBrain enhances NVIDIA's AI capabilities in healthcare and smart city applications.
  • Participation in Nebius Group's funding expands NVIDIA's AI infrastructure across continents.

What critics are saying

  • Increased competition from Ayar Labs challenges NVIDIA's AI hardware market position.
  • VinBrain acquisition may face integration challenges, affecting operational efficiency.
  • Investment in Nebius Group could lead to internal competition for resources and market share.

What makes NVIDIA unique

  • NVIDIA leads in AI and HPC with cutting-edge GPU and SoC technologies.
  • The company excels in diverse markets: gaming, data centers, and autonomous vehicles.
  • NVIDIA's cloud services, like CloudXR, enhance scalable AI and machine learning applications.

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