Developer Technology Engineer, AI
Nvidia · Beijing, China
About this role
Nvidia is hiring a mid-level Platform Engineer in the software engineering function based in Beijing, China. The posting calls out experience with Python, C, CUDA, LLMs and roughly 3+ years of relevant work. Listed education preference: a bachelor's degree or equivalent.
- Role
- Platform Engineer
- Function
- software engineering
- Level
- mid
- Track
- Individual contributor
- Employment
- Full-time
- Location
- Beijing, China
- Experience
- 3+ years
- Education
- Bachelor's degree
- Posted
- May 27, 2026
More roles at Nvidia
Job description
from Nvidia careersNVIDIA has been redefining computer graphics, PC gaming, and accelerated computing for more than 30 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.
What you'll be doing:
Study and develop cutting-edge techniques in CUDA programming, profiling, optimization. Application domains include deep learning, graphic, machine learning, and data analytics, and perform in-depth analysis and optimization to ensure the best possible performance on current- and next-generation GPU architectures.
Work directly with key customers to understand the current and future problems they are solving and provide the best AI solutions using GPUs.
Collaborating closely with diverse groups at NVIDIA such as the architecture, research, libraries, tools, and system software teams to influence the design of next-generation architectures, software platforms, and programming models, by investigating the impact on application performance and developer efficiency.
This is an excerpt. Read the full job description on Nvidia careers →