Internship

Software Engineering Internships

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

Remote in USA

Remote work option available.

Category
Full-Stack Engineering
Software Engineering
Required Skills
Kubernetes
Python
JavaScript
React.js
CUDA
Git
Apache Spark
SQL
Apache Kafka
Java
Docker
Microservices
Go
Jenkins
Vue.js
Ansible
C/C++
Cassandra
Requirements
  • Currently pursuing a Bachelor's, Master's, or PhD degree within Computer Engineering, Electrical Engineering, Computer Science, or a related field
  • Prior experience or knowledge requirements could include the following programming skills and technologies: Java, JavaScript (including Node, React, Vue), SQL, C++, CUDA, OOP, Go, Python, Git, Perforce, Kubernetes and Microservices, Schedulers (LSF, SLURM), Containers (Docker), Configuration Automation (Ansible)
Responsibilities
  • Debugging complex system-level issues using Jenkins
  • Supporting overall architecture and design of our cloud storage infrastructure
  • Implementing and troubleshooting storage and data platform tools, automating storage infrastructure end-to-end
  • Building industry leading technology by proving workflows and infrastructure, alongside a team of experts in production software development and chip design methodologies
  • Enabling success for content running on the chip from application tracing and analysis to modeling, diagnostics, performance tuning, and debugging
  • Supporting cloud and on-premise infrastructure for backend analytics
  • Working on diverse data technologies including Kafka, ELK, Cassandra, and Spark
Desired Qualifications
  • Course or internship experience related to Relational Databases, Linear Algebra & Numerical Methods, Operating Systems (memory/resource management), Scheduling and Process Control, Hardware Virtualization
  • Course or internship experience related to Distributed Systems, Data Structures & Algorithms, Virtualization, Automation/Scripting, Container & Cluster Management, Debugging
  • Course or internship experience related to Unix/Shell Scripting, Linux, Java, JavaScript (including Node, React, Vue), C++, CUDA, OOP, Go, Python, Git, GitLab, Perforce, Kubernetes and Microservices, Schedulers (LSF, SLURM), Containers (Docker), Configuration Automation (Ansible)
  • Course or internship experience related to Data Science, Data Engineering, Open Source Data Science Tools, Open Source Libraries

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's products work by providing powerful processing capabilities that enable complex graphics rendering and data analysis. Unlike many competitors, NVIDIA focuses on both hardware and software solutions, offering cloud-based services that enhance the usability of their products. The company's goal is to drive innovation in AI and computing technologies, ensuring they remain a leader in the industry.

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%
TechCrunch
Mar 19th, 2025
Nvidia reportedly acquires synthetic data startup Gretel | TechCrunch

Nvidia has reportedly acquired Gretel, a San Diego-based startup that's developed a platform to generate synthetic AI training data. Terms of the

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GPU giant rolls networking monitoring firm into Spectrum-X portfolio

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Together AI announced a $305 million Series B funding round led by General Catalyst and Prosperity7, valuing the company at $3.3 billion. The investment will enhance its AI Acceleration Cloud, focusing on open source models and NVIDIA Blackwell GPU deployment. Together AI supports over 450,000 developers and partners with major firms like Salesforce and Zoom. The platform offers enterprise-grade AI solutions with advanced infrastructure and research innovations for improved efficiency and cost-effectiveness.

CoinCentral
Feb 19th, 2025
NVIDIA-Backed Edge AI Startup ClustroAI Raises $12M to Bring AI Processing to Local Devices - CoinCentral

San Francisco-based ClustroAI raised $12M in Series A funding to advance its edge AI technology that enables local device AI processing without cloud computing

INACTIVE