AI Technology and Strategic Planning Researcher

Strategic Leadership: · Research and formulate the development of AI technology and business strategies, covering areas such as autonomous driving, embodied intelligence, physical AI, generative AI, etc. · Drive cross-functional collaboration to identify emerging opportunities and define roadmaps for AI adoption and innovation. Technology Trend Analysis: · Monitor global AI advancements, competitive landscapes, and regulatory changes (e.g., AI ethics, compliance frameworks) to inform strategic decision-making. · Evaluate cutting-edge technologies (e.g., LLMs, reinforcement learning, multimodal AI) and assess their potential business impact. Ecosystem Development: · Build partnerships with academia, industry consortia, and startups to foster co-innovation and leverage external expertise. · Establish and maintain collaborative relationships with research institutions, industry associations, and other key stakeholders, and represent the company at conferences, technical committees, etc. Insight Delivery: · Produce strategic and technical insight reports and presentations for executive leadership to inform global perspectives for business planning, and translate insights into strategic recommendations.

Education/Experience · Master’s degree or higher in Artificial Intelligence, Robotics, Computer Science, Data Science, Electrical Engineering, or a related field. · 3+ years of professional experience in autonomous driving and/or AI industries, with in-depth knowledge of technology trends, application scenarios, and technical foresight. · Proven experience in technology foresight, strategy consulting, or academic research related to areas is highly preferred. Knowledge · Familiar with technical architectures of autonomous driving and Physical AI systems, including planning, simulation, and LLM/VLM integration. · Familiar with AI ethics, standards, and governance frameworks. · Awareness of global industry and academic trends in intelligent mobility, robotics, etc. Skills and Competencies · Strong analytical, synthesis, and strategic thinking capabilities to balance technical feasibility, market demands, and ROI. · Exceptional communication skills to articulate complex AI concepts to non-technical stakeholders. · Ability to work cross-functionally, manage uncertainty, and handle ambiguity in emerging technology domains. · Bonus: Experience in AI-related product/technology R&D (e.g., AD/ADAS). · Bonus: Proficiency in Chinese communication and writing for global collaboration.