AI Automation Tools Development Engineering Intern - 2026 at NVIDIA

Shanghai, China

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Not SpecifiedCompensation

InternshipExperience Level

InternshipJob Type

UnknownVisa

Technology, SemiconductorIndustries

Requirements

Pursuing Master or higher degree in computer science or electrical engineering with strong academics
Good programming skills in Python, proficient in applying OOP concepts and Data structures
Good experience with using AI development tools for test plan creation, automation framework and test case development
Experience using Cursor, MCP, Coderabbit for script generation/review
Hands-on experience in solving complex problems using AI technology or tools such as RAG, LLM/vLLM and AIGC
Experience with large or complex applications and knowledge of code optimization and manipulation
Demonstrates excellent communication skills, maintains a strong sense of initiative and motivation, and consistently upholds high standards for software quality
Ability to work closely & collaboratively with other Development & QA teams especially across geographies
Understanding of different operating systems, such as Windows, Mac, Android, Linux

Responsibilities

Apply Machine Learning, Deep Learning techniques to overcome QA and Automation challenges for different NVIDIA Product lines
Maintain and optimize new and existing automated tests with AI solution
Design, implement and augment existing test frameworks with AI automation tools to reduce manual development efforts and make the current automation framework more productive and smart
Work closely and collaboratively with other development and QA teams to gather automation requirements and review automation design

Skills

Python

OOP

Data Structures

Machine Learning

Deep Learning

AI Automation

RAG

LLM

vLLM

AIGC

Cursor

MCP

Coderabbit

Test Frameworks

Code Optimization

NVIDIA

Designs GPUs and AI computing solutions

About NVIDIA

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.

Santa Clara, CaliforniaHeadquarters

1993Year Founded

$19.5MTotal Funding

IPOCompany Stage

Automotive & Transportation, Enterprise Software, AI & Machine Learning, GamingIndustries

10,001+Employees

Benefits

Company Equity

401(k) Company Match

Risks

Increased competition from AI startups like xAI could challenge NVIDIA's market position.

Serve Robotics' expansion may divert resources from NVIDIA's core GPU and AI businesses.

Integration of VinBrain may pose challenges and distract from NVIDIA's primary operations.

Differentiation

NVIDIA leads in AI and HPC solutions with cutting-edge GPU technology.

The company excels in diverse markets, including gaming, data centers, and autonomous vehicles.

NVIDIA's cloud services, like CloudXR, offer scalable solutions for AI and machine learning.

Upsides

Acquisition of VinBrain enhances NVIDIA's AI capabilities in the healthcare sector.

Investment in Nebius Group boosts NVIDIA's AI infrastructure and cloud platform offerings.

Serve Robotics' expansion, backed by NVIDIA, highlights growth in autonomous delivery services.

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