CUDA Full Stack & AI Test Dev Intern - 2027

NVIDIA

China, Shanghai · On-site · relocationSalary not disclosedfull-timeNVIDIA Careers (offices abroad)

Our team mainly focuses on CUDA automation testing and CUDA test development. We build and own an internal full-stack web platform that CUDA engineers worldwide rely on to analyze automated test results, and we are now expanding it with LLM-powered AI features for CUDA test analysis, failure diagnosis, and AI application testing.

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
What we need to see
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

CUDA Full Stack & AI Test Dev Intern - 2027

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