Job Responsibilities
- Lead innovative design of robotic edge computing architecture, and research optimal allocation and collaboration mechanism of computing power across end, edge and cloud.
- Conduct R&D and application of cutting-edge edge AI inference algorithms, lightweight models and heterogeneous computing acceleration technologies.
- Research edge computing resource scheduling, task offloading and deterministic communication technologies for real-time robot response.
- Tackle core challenges of robotic edge systems in low power consumption, high reliability and robust security.
- Build prototype platforms for robot edge computing, verify key technologies and promote product integration.
Job Qualifications
- Target candidates: PhD graduates of Class 2027.
- Majors: Computer Science and Technology, Software Engineering, Electronic Engineering, Embedded Systems, Control Theory and Control Engineering or other related disciplines.
- Preferred research areas: high-reliability / high-security embedded systems, real-time computing and operating systems, formal verification of system software, hardware-software co-design, embedded AI and intelligent computing architecture, etc.
- Language requirement: CET-6 or equivalent proficiency, with competent English listening, speaking, reading and writing skills to read automotive-related materials.
- Personal attributes: Strong communication and teamwork skills, high integrity and sense of responsibility; good team spirit and dedication.
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