Software Engineering Intern, CUDA Test Development - 2026 at NVIDIA

Shanghai, China

NVIDIA Logo
Not SpecifiedCompensation
InternshipExperience Level
InternshipJob Type
UnknownVisa
Technology, GPU Computing, AIIndustries

Requirements

  • Can work 4 days a week for at least 1 year
  • Pursuing MS or PhD degree from a leading university in computer science
  • Familiar with programming and debugging skills with C/C++ and Python
  • Interested in test cases development, tests automation and failure analysis
  • Experience using AI development tools to improve quality and productivity across the end-to-end QA workflow
  • Good QA sense, knowledge and experience in software testing

Responsibilities

  • Design and Implement API tests for CUDA driver and library
  • Automate CUDA tests, design test plan and enable them in automation testing infrastructure
  • Triage test results, isolate test failures and improve test coverage

Skills

C/C++
Python
CUDA
API Testing
Test Automation
Software Testing
Debugging
Parallel Programming
QA

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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