CUDA Full Stack & AI Test Dev Intern - 2027
China, Shanghai, China · hace 2 meses
El becario desarrollará y mantendrá aplicaciones web full-stack y paneles para el análisis de pruebas CUDA, creará funciones impulsadas por LLM para el diagnóstico de fallos y el análisis de pruebas, y realizará QA y automatización de pruebas para productos NVIDIA y aplicaciones de IA.
- Modalidad
- Presencial
- Nivel
- Prácticas
Skills
Sobre el puesto
NVIDIA is the world leader in GPU Computing. We are passionate about four markets: Gaming, Automotive, Enterprise Graphics, and HPC/Cloud Datacenters, in addition to our traditional OEM business. We are well positioned as the 'AI Computing Company', and our GPUs are the brains powering modern Deep Learning software frameworks, accelerated analytics, big data, modern data centers, smart cities, and autonomous vehicles. We have some of the most brilliant and talented people in the world working for us. If you are talented, bright, driven, and interested in working with smart technical people across countries, this job is for you. 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. We are looking for a Full Stack & AI Software Engineer Intern. What you'll be doing: 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 Ways to stand out from the crowd: Experience with automated testing and test frameworks such as Playwright or Vitest Excellent English communication and collaboration skills NVIDIA pioneered accelerated computing. Today, our AI infrastructure powers global intelligence, transforming every industry. Learn more about NVIDIA.
Publicada el 20 ago 2026