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.