Deep Learning Compiler Engineer - CUDA
Nvidia · Shanghai, China
About this role
Nvidia is hiring a mid-level Machine Learning Engineer based in Shanghai, China. The posting calls out experience with LLMs, Data Structures, C, Machine Learning and roughly 2+ years of relevant work. Listed education preference: a master's degree or equivalent.
- Role
- Machine Learning Engineer
- Function
- machine learning
- Level
- mid
- Track
- Individual contributor
- Employment
- Full-time
- Location
- Shanghai, China
- Experience
- 2+ years
- Education
- Master's degree
- Posted
- May 28, 2026
More roles at Nvidia
Job description
from Nvidia careersNVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world.
We are now looking for cuTile Core Compiler Architect in our group! The NVIDIA Architecture group is looking for world class architects and engineers to join and lead our various architecture efforts. A key part of NVIDIA's strength is to innovate in the graphics and parallel computing fields delivering the highest performance in the world for parallel processing algorithms. We are constantly looking for ways to improve our GPU architecture and maintain our leadership by developing new parallel programming models, new architectures and new infrastructure that is required to make this successful.