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Internship

NVIDIA 2025 Internships: Software Engineering

Confirmed live in the last 24 hours

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

$18 - $71Hourly

+ Intern Benefits

Remote in USA + 1 more

Category
Backend Engineering
Frontend Engineering
Full-Stack Engineering
Mobile Engineering
Software QA & Testing
Software Engineering
Required Skills
Kubernetes
Python
JavaScript
React.js
Data Science
CUDA
Git
Data Structures & Algorithms
Apache Spark
Apache Kafka
Java
Operating Systems
Docker
Jenkins
Vue.js
Ansible
Linux/Unix
Data Analysis
Cassandra
Requirements
  • Currently pursuing a Bachelor's, Master's, or PhD degree within Computer Engineering, Electrical Engineering, Computer Science, or a related field
  • Course or internship experience related to the following areas could be required: Relational Databases, Linear Algebra & Numerical Methods, Operating Systems (memory/resource management), Scheduling and Process Control, Hardware Virtualization
  • Course or internship experience related to the following areas could be required: Distributed Systems, Data Structures & Algorithms, Virtualization, Automation/Scripting, Container & Cluster Management, Debugging
  • Course or internship experience related to the following areas and technologies could be required: 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 the following areas could be required: Data Science, Data Engineering, Open Source Data Science Tools, Open Source Libraries
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

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

12%

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.