Software QA Intern, Test Development - 2026 at NVIDIA

Shanghai, China

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Not SpecifiedCompensation

InternshipExperience Level

InternshipJob Type

UnknownVisa

AI, Deep Learning, Autonomous Driving, HealthcareIndustries

Requirements

Pursuing MS or higher degree in CS/EE/CE
Proven success in leveraging AI tools to significantly improve efficiency, streamline workflows or enhance process automation
Good Python, C++ programming skillset
Linux knowledge
Good communication skills, fluent oral and written English
Ways to stand out
Experience in software development with popular AI models
Familiar with deep neural network training, inference, optimization in typical DL Frameworks
Background with NVIDIA GPU Computing (CUDA)

Responsibilities

Be responsible for functionality, compatibility, and performance tests in NVIDIA AI software stack release
Develop, maintain, and improve test automation infrastructure using AI tools
Work with development teams to triage issues, root cause analysis, verify fixes, define new tests, improve test plans

Skills

Python

C++

Linux

AI tools

Deep Learning

Test Automation

CUDA

Neural Networks

Software QA

Root Cause Analysis

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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