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Internship

NVIDIA Summer 2024 Internships: Software Engineering Intern

Posted on 1/17/2024

NVIDIA

NVIDIA

10,001+ employees

Develops GPUs for AI and computing

Data & Analytics
Consulting
Hardware
VR & AR
Enterprise Software
AI & Machine Learning
Design
Gaming

Compensation Overview

$16 - $88Hourly

Remote in USA

Category
AI Research
AI & Machine Learning
Web Development
Cloud Engineering
Software Engineering
Required Skills
Kubernetes
Microsoft Azure
Python
JavaScript
React.js
Data Science
CUDA
Git
Data Structures & Algorithms
Ruby
Apache Spark
Apache Kafka
Java
Operating Systems
Docker
AWS
Perl
OpenGL
Elasticsearch
MongoDB
REST APIs
Web Development
Linux/Unix
AngularJS
Data Analysis
HTML/CSS
Cassandra
Google Cloud Platform
Requirements
  • Currently pursuing a Bachelor's, Master's, or PhD degree within a relevant or related field
  • Programming skills and technologies: C, C++, Python, Perl, Java, JavaScript, Unix/Shell Scripting, Graphics & GPGPU APIs (Vulkan, DirectX, OpenGL, CUDA, OpenCL), Data Processing Tools (ElasticSearch, Kibana, Grafana, MongoDB), OOP, GitLab, Linux, Go, SPARK, RAPIDS, REST API, CI/CD, Container Tools (Docker/Containers, Kubernetes), Infrastructure Platforms (AWS, Azure, GCP), Data Technologies (Kafka, ELK, Cassandra, Apache Spark), HTML, CSS, React, Angular, Kubernetes, Ruby
  • Relevant academic or professional experience in Data Structures and Algorithms, Operating Systems, Distributed Systems, GPU Development, and/or Data Science
Responsibilities
  • - Software Cloud: Understanding the overall architecture and design of our cloud storage infrastructure, implementing, managing, and troubleshooting storage and data platform tools/technology, and automating storage infrastructure end-to-end
  • - Software Tools Infrastructure: Enabling architects to build the next generation of amazing hardware, including GPU Development Tools, Chip Design, Validation, and Workflow Tools & Metrics, Process Management, and Compute Infrastructure teams
  • - Data Science: Building GPU accelerated next generation AI Streaming platforms for Big Data and AI streaming workloads using parallel programming on GPUs leveraging CUDA
  • - Web Development: Working on multiple web-based tools and applications, ensuring the framework/libraries are flexible and perform to meet all users’ requirements

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

16%

1 year growth

20%

2 year growth

33%
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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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