Director, Agentic AI & Reasoning Lab(J31963)

1. Tackle the cognitive capabilities of the next-generation AI, and break through core technologies such as slow thinking, causal reasoning, long-term planning, and tool invocation. 2. Build an Agentic AI system framework that supports multimodal input, dynamic environmental perception, and autonomous decision-making. 3. Develop an agent Runtime suitable for in-vehicle scenarios to achieve task decomposition and execution closed-loop. 4. Explore multi-agent collaboration mechanisms to support human-machine collaboration and swarm intelligence applications. 5. Output high-impact research achievements (top conference papers, patents, open-source projects) to build a technological moat.

Deeply engaged in the field of AI reasoning, planning, and decision-making systems, with a research background in System Type 2 cognitive models. 2. Led or deeply participated in complex task planning, Tool-use, and multi-agent system development. 3. Be familiar with mainstream Agent architectures such as ReAct, Plan-and-Execute, and Tree-of-Thought. 4. Have a solid foundation in reinforcement learning, symbolic reasoning, neuro-symbolic systems, etc. 5. Candidates with experience in applying Agent technology to scenarios such as intelligent cockpits and enterprise process automation are preferred.