Deep Learning Performance Software Engineer

Experience: Not Available to Not Available years

Location: Shanghai, China

Skills: C/C++, Python, MLIR, AI agent, Performance modelling, profiling, debug, code optimization, CPU, GPU, CUDA, OpenCL

We are now looking for a Deep Learning Performance Software Engineer! We are expanding our research and development for deep learning. We seek excellent Software Engineers and Senior Software Engineers to join our team. We specialize in developing GPU-accelerated Deep learning software. Researchers around the world are using NVIDIA GPUs to power a revolution in deep learning, enabling breakthroughs in numerous areas. Join the team that builds software to enable recent solutions. Your ability to work in a quick-paced customer-oriented team is required and excellent communication skills are necessary.

What you’ll be doing:
Develop TileGym, Triton CUDA TileIR backend and CUDA Tile
Develop highly optimized deep learning kernels through tile-based GPU programming model




End-to-end performance optimization through tile-based GPU programming model
Do performance optimization, analysis, and tuning

What we need to see:
Masters or PhD or equivalent experience in relevant discipline (CE, CS&E;, CS, AI)
SW Agile skills helpful
Excellent C/C++ programming and software design skills
Python experience a plus
MLIR experience a plus
AI agent experience a plus
Performance modelling, profiling, debug, and code optimization or architectural knowledge of CPU and GPU
GPU programming experience (CUDA or OpenCL) desired
3 years of relevant work experience

NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most brilliant and talented people on the planet working for us. If you're creative and autonomous, we want to hear from you!

📌 Deep Learning Performance Software Engineer Mumbai
🏢 NVIDIA
📍 Mumbai