CUDA Full Stack & AI Test Dev Intern - 2027
NVIDIA· Intern
ShanghaiinternPosted 1mo ago
About the role
Internship focused on CUDA automation testing, full-stack web platform development for CUDA test analysis, and LLM-powered AI features for test analysis and failure diagnosis.
Responsibilities
- Develop and maintain full-stack web applications for CUDA test analysis, including data-intensive dashboards, large-scale data grids, and visualization
- Build front-end and back-end features using modern technologies such as React, Python/Node.js, databases, and APIs
- Develop LLM-powered features for automated test analysis, failure diagnosis, and engineering productivity
- Execute QA testing and test automation for NVIDIA ARM-based products and AI applications
Qualifications
- Pursuing MS or PhD degree from a leading university in computer science
- Work 5 days a week for at least 1 year
- Familiarity with modern full-stack development, including JavaScript frameworks, backend development, databases, and APIs, good Python scripting skills are a must
- Understanding of LLM applications, AI agents, and AI application testing/evaluation
- Good troubleshooting and problem-solving skills
Skills
Required:Full-stack web developmentJavaScript frameworksPython scriptingAPIs and databasesLLM / AI applications
Nice to have:QA testingEnglish communication
Last updated Aug 28, 2026. Interested? Apply on the company site.
About NVIDIA
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NVIDIA invents the GPU and drives advances in AI, HPC, gaming, creative design, autonomous vehicles, and robotics.
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