深度学习框架研发工程师(自动驾驶方向)（J81740）
Core
Develop high-performance computing libraries and optimize algorithms for autonomous driving models on Kunlunxin AI chips.
Role type
Senior IC deep learning framework engineer (autonomous driving)
Builds
High-performance computing libraries, optimized training/deployment pipelines for autonomous driving models
Domain
Autonomous driving, high-performance computing, deep learning frameworks
Deliverable
production ML models
Required skills
C/C++, Linux development, computer algorithms and data structures, deep learning framework development (PyTorch, TensorFlow, PaddlePaddle), high-performance computing
Preferred skills
Autonomous driving algorithm and model training experience, end-to-end large model technology exploration
Technologies
Kunlunxin AI chips, PyTorch, TensorFlow, PaddlePaddle
Responsibilities
Develop and optimize high-performance computing libraries for Kunlunxin AI chips; Optimize training and deployment of mainstream autonomous driving models; Customize and optimize deep learning frameworks; Support key customer autonomous driving training business; Explore end-to-end large model technology paths for Kunlunxin AI chips