AI Computing Software Intern, GPU Kernel Libraries - 2027

China, ShanghaiInternship2026-09-23 → 2026-11-10

Core

Develop high-performance GPU operators and scalable infrastructure for NVIDIA's deep learning libraries (cuBLAS, TensorRT, cuDNN, cuSparse, cuTensor) to optimize training and inference.

Role type

Intern, GPU kernel library developer

Builds

Optimized GPU operators and modular infrastructure for NVIDIA software libraries

Domain

AI computing, GPU architecture, deep learning

Deliverable

production ML models

Required skills

C/C++, Python, CUDA, GPU programming model, compiler technologies, LLVM, MLIR

Preferred skills

Deep learning operator optimization, fusion operator design

Technologies

cuBLAS, TensorRT, cuDNN, cuSparse, cuTensor, CUDA, LLVM, MLIR

Responsibilities

Develop high-performance operators on NVIDIA GPUs; Analyze GPU kernel performance and identify bottlenecks; Design and develop software for kernel authoring and shipping; Adopt cutting-edge AI technologies in GPU kernel development workflow

Seniority

Intern

About NVIDIA

NVIDIA 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