AI Researcher (On-Device)

Key Responsibilities:
• Participate in the native intelligence construction of our OS, lead the architecture and development of terminal operating system components that can flexibly support AI capabilities, better serve AI capabilities, improve the efficiency of AI model operation, and build the architectural competitiveness of our OS in the field of AI.
• Use machine learning capabilities to optimize underlying system performance, resource management, and power consumption to achieve optimal global efficiency and enhance the performance of our OS devices.
• Participate in the construction of intelligent features of our OS applications, design flexible and scalable application frameworks that can better adapt to leading AI technology empowerment.
• Introduce new technologies to the team, verify key technical points, grasp new technical directions in the industry, ensure that the architecture has good technical compatibility. Create detailed architectural documents, design specifications, and AI integration technical guidelines.

Required:
• Familiar with operating system architecture, have a clear understanding and knowledge of the underlying system architecture, and have experience in applying intelligent technology at the system level. Deeply observe and analyse the intelligent direction of industry-leading products and formulate years AI-native OS plan to promote the landing of AI-native OS.
• Have in-depth academic research capabilities and achievements in the field of artificial intelligence (including natural language processing, computer vision, and decision-making reasoning).
• Have a certain influence in the field of AI research, be able to quickly obtain industry technical resources, and transform them into internal competitiveness. Understand the commercial value behind the mainstream technology routes in the industry and their impact on the company's AI research strategy.

Desired:
• PhD in computer science, software engineering, communication, electronics, etc., have an in-depth understanding of the AI field, large models, etc.
• Candidates with AI field-related TOP conference papers are preferred.
• AI product landing experience.
• Familiar with one of the mainstream mobile systems, understand the architecture and software framework of device system software, and understand AI hardware acceleration