CUDA Full Stack & AI Test Developer Intern
NVIDIA
CUDA Full Stack & AI Test Developer Intern
NVIDIA
Designs the chips and software that power AI
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 designs the chips and software that power artificial intelligence and sells complete data center systems to cloud providers, AI labs, and other businesses, along with GeForce graphics cards for gamers. Its GPUs, chips that perform thousands of calculations at once, became the main hardware for AI after researchers used them to train the AlexNet image-recognition model in 2012. NVIDIA connects many GPUs with its own processors and networking gear into servers and rack-sized computers, and developers program them through its CUDA software. These systems bring in most of its sales, and it also makes chips for cars and robots. Jensen Huang co-founded NVIDIA in 1993, and it is based in Santa Clara, California.
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