§  Participate/lead in the evaluation of products, planning and discussion of functions, as well as implementation and release according to series and POC car project needs.

§  Participate in daily planning, development execution, testing and problem solving. Estimating the personnel plan, assisting in controlling development costs, defining development standards and performance requirements.

§  Responsible for requirements analysis, system architecture design and implementation, and main responsibility for code quality.

§  Responsible for the analysis and solution of architectural problems, as well as the optimization and stability maintenance of Android system.

§  Responsible for explaining the core capabilities of the software to customers. Provide technical guidance to other departments. Explain expertise to developers.

Embrace AI and LLM, lead AI and AI OS landing in in-vehicle and smart cockpit products and solutions.

Education

·       Bachelor degree or above (including degree), major in computer, software engineering, electronic engineering, artificial intelligence, pattern recognition, automotive electronics and other related majors;

Experience

·       More than 5 years of proven record and Experience in Android architecture, solution architecture, framework & application development.

Knowledge

·       Proficient in C/C++/Java language, familiar with java virtual machine principles;

·       In-depth understanding of Android system framework (such as AMS, WMS, PMS, audio and video channel management, data storage, etc.);

·       Deeply understand in one or more of the following areas, the Android Framework and HAL architecture, UI components (Activity/Fragment/Views/Layout), or health monitoring, stability, performance, 3D rendering in Android

·       Familiar with design patterns such as MVP/MVVM

·       Familiar with the car power control process. understanding the Android system startup principle. Familiar with the lifecycle management process of Daemon process, service and apps;

·       Have sufficient sensitivity to technical risks and excellent problem-solving ability. Be able to support and maintain the problems found at all stages of the product life cycle, and undertake technical attacks on key and difficult points;

·       Experience and Knowledge in AI modal deployment, integration, Services/interfaces definition and implementation for AI usage.

Preferred:

·       Internet car company and solid series in-vehicle infotainment and smart cabin production experience.

·       AI OS, AI agent development experience LLM integration, production experience of AI related in-vehicle solution, AI solution with vehicle OS and system integration