AI Developer Technology Engineer Intern, CUDA - 2026
Nvidia · Beijing, China
About this role
Nvidia is hiring a intern-level AI Engineer in the machine learning function based in Beijing, China. The posting calls out experience with C++, C, CUDA, Deep Learning. Listed education preference: a master's degree or equivalent.
- Role
- AI Engineer
- Function
- machine learning
- Level
- intern
- Track
- Individual contributor
- Employment
- Internship
- Location
- Beijing, China
- Education
- Master's degree
- Posted
- May 13, 2026
More roles at Nvidia
Job description
from Nvidia careersWe are now looking for an AI Developer Technology Engineer Intern, CUDA. Intelligent machines powered by AI computers that can learn, reason and interact with people are no longer science fiction. Today, a self-driving car can meander through a country road at night and find its way. An AI-powered robot can learn motor skills through trial and error. This is truly an extraordinary time — the era of AI has begun. Image recognition and speech recognition — GPU Deep Learning has provided the foundation for machines to learn, perceive, reason and solve problems. The GPU started out as the engine for simulating human creativity, conjuring up the amazing virtual worlds of video games and Hollywood films.
Now, NVIDIA's GPU runs Deep Learning algorithms, simulating human intelligence, and acts as the brain of computers, robots and self-driving cars that can perceive and understand the world. Just as human creativity and intelligence are linked, computer graphics and artificial intelligence come together in our architecture. Two modes of the human brain, two modes of the GPU. This may explain why NVIDIA GPUs are used broadly for Deep Learning, and NVIDIA is increasingly known as “the AI computing company.” Come join a team full of world-class computer scientists to work in its Compute Developer Technology team as an AI Developer Technology Engineer.