Job Responsibilities

1. Responsible for the management of the company's algorithm team and technical route planning, and promote algorithm iteration and innovation. 2. Responsible for organizing the research and analysis of AI modules in NAS projects, the construction of algorithm libraries, and the innovative application of AI technology in combination with intelligent storage application scenarios. 3. Responsible for organizing AI algorithm architecture and model development, algorithm platform construction, and related technical research in NAS projects. 4. Master the development trend of AI technology, be sensitive to the application of cutting-edge technology, quickly analyze and give guidance, and guide the team to use new technologies to apply to the company's business scenarios.

Job Requirements

1. Master's degree or above, major in artificial intelligence, computer or mathematics. 2. Master's degree or more than 5 years of AI work experience, Ph.D. or more than 3 years of work experience, and more than 1 year of technical team management experience. 3. Strong innovation ability, strong willingness and subjective initiative to continuously explore new AI technologies and application scenarios. 4. Keep up with the latest developments in the field of AI, and continuously improve your professional knowledge and skills by participating in academic conferences, reading cutting-edge papers, and online learning courses. 5. Algorithm background such as large language model, multimodal large model, and generative model. 6. Proficient in deep learning frameworks such as TensorFlow and PyTorch, familiar with mainstream inference engines, such as TensorRT-LLM, vLLM, etc., and have rich practical experience. 7. Rich experience in software development, familiar with commonly used programming languages (Python and C++) and related tools and technologies. 8. Familiar with end-to-end deployment, quantification, pruning, distillation and tuning of algorithm models. 9. Strong team management and collaboration, good problem analysis and solving skills. 10. Excellent English reading, writing and oral expression skills, able to read and understand relevant academic literature. Preferred: 1. Familiar with NPU and GPU hardware structure, and have experience in resource call optimization. 2. In-depth understanding of AI algorithm and chip design trends and practical applications, providing future-oriented AI algorithm chip customization guidance. 3. Familiar with the heterogeneous computing acceleration technology roadmap of AI business on the device side. 4. Analyze and follow up the cutting-edge direction of hardware platforms inside and outside the industry, horizontally evaluate the advantages and disadvantages of different hardware selection and application applicability, and provide suggestions and technical support for the strategic planning and customization of platform hardware. 5. Excellent product understanding and insight capabilities, and experience in AI business commercialization.

Required Languages

English