First-level areas：Information Technology
First-level areas：Information Technology
Source：Social Recruitment
Job description ：
1. Track international cutting-edge technologies and development trends in the field of image computing power;
2. Build a computing power scheduling platform;
3. Responsible for the inference deployment and performance optimization of deep learning models on computing platforms such as GPU/DLA/NPU, including performance analysis, model quantization, computation graph optimization, operator optimization, etc;
4. Collaborate deeply with the algorithm team to optimize and improve the training efficiency of large models on GPU platforms, and explore model iteration;
Job requirements.
1. PhD, majoring in computer science, communication, and electronic engineering, with a strong foundation in mathematics and clear logical thinking;
2. Strong research background in computer vision (including classification, detection, segmentation, tracking, etc.), in-depth understanding of deep learning and machine learning principles; Master mainstream algorithms in computer vision and image processing, and have conducted in-depth research in related fields such as object detection and tracking;
3. Proficient in programming languages such as C/C++and familiar with mainstream AI architectures;
4. Proficient in model computation graph optimization, compilation optimization, and memory optimization skills are preferred;

Please send your CV or resume as an attachment to the following email address:
mailto: rbhr@hrcenter.co.uk
With the subject line formatted as: ‘Name + Position + Company Name + Location’.