理想汽车AI Technology and Strategic Planning Researcher
任职要求
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.
工作职责
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.
1. Analyze and design overall service and business support systems based on customer value and strategic demands, incorporating insights from industry trends, cross-department communication, and organizational assessments. 2. Design end-to-end service and business support solutions from an AI perspective, addressing cognitive and usage barriers for users and operational bottlenecks in support processes. This includes modules for demand identification, feature exploration, tool processes, channel planning, knowledge content, and quality management. 3. Evaluate and deploy support strategies and capabilities for changes in business, including self-service, human support, and deferred service. Provide support solutions for service design and deployment upgrades. 4. Identify customer obstacles and pain points, and develop service solutions adapted from customer view, continuously improving and optimizing solutions to enhance overall customer experience. 5. Collaborate with product and R&D teams in strategy and capability deployment to ensure smooth delivery and timely results with high quality. 6. Accumulate mechanisms and standards for service design and operations to ensure continuity and inheritance. 1. 围绕客户价值及服务支持本质，结合不同阶段的战略诉求，通过对行业趋势的洞察、跨部门的沟通协作、组织保障的评估等方式，分析并设计整体服务及业务支持体系； 2. 结合AI视角，在基于客户服务诉求进行全链路服务及业务支持解决方案设计，以解决用户触达产品时的认知障碍、使用障碍和支持业务过程中的运营流程卡点。亦需要包括基于 诉求识别、特征挖掘、工具流程、渠道规划、知识内容、质量管理的多模块服务运营支持体系和规划来设计包括AI赋能的服务及业务支持解决方案； 3. 针对业务变动进行服务业务支持影响评估及策略部署，在服务及业务支持端进行自助、人工、迟滞承接的能力部署及开量支持，亦会针对业务支持的服务设计部署升级提供支持方案； 4. 洞察客户障碍和服务痛点，从客户视角出发输出适配服务渠道的解决方案，持续以项目等方式推动方案优化改善，从而提升整体客户体验； 5. 在策略及能力部署过程中端到端协同产品及研发团队一起保障交付链路顺畅，保质保量按时交付结果； 6. 沉淀服务设计和运营的机制和标准，保障持续性和传承性；
1. Analyze and design overall service and business support systems based on customer value and strategic demands, incorporating insights from industry trends, cross-department communication, and organizational assessments. 2. Design end-to-end service and business support solutions from an AI perspective, addressing cognitive and usage barriers for users and operational bottlenecks in support processes. This includes modules for demand identification, feature exploration, tool processes, channel planning, knowledge content, and quality management. 3. Evaluate and deploy support strategies and capabilities for changes in business, including self-service, human support, and deferred service. Provide support solutions for service design and deployment upgrades. 4. Identify customer obstacles and pain points, and develop service solutions adapted from customer view, continuously improving and optimizing solutions to enhance overall customer experience. 5. Collaborate with product and R&D teams in strategy and capability deployment to ensure smooth delivery and timely results with high quality. 6. Accumulate mechanisms and standards for service design and operations to ensure continuity and inheritance.
1. Analyze and design overall service and business support systems based on customer value and strategic demands, incorporating insights from industry trends, cross-department communication, and organizational assessments. 2. Design end-to-end service and business support solutions from an AI perspective, addressing cognitive and usage barriers for users and operational bottlenecks in support processes. This includes modules for demand identification, feature exploration, tool processes, channel planning, knowledge content, and quality management. 3. Evaluate and deploy support strategies and capabilities for changes in business, including self-service, human support, and deferred service. Provide support solutions for service design and deployment upgrades. 4. Identify customer obstacles and pain points, and develop service solutions adapted from customer view, continuously improving and optimizing solutions to enhance overall customer experience. 5. Collaborate with product and R&D teams in strategy and capability deployment to ensure smooth delivery and timely results with high quality. 6. Accumulate mechanisms and standards for service design and operations to ensure continuity and inheritance.
· Lead strategic analysis on global trends in Physical AI, including autonomous driving, embodied intelligence, robotics, and sensorimotor foundation models. · Continuously monitor and benchmark key players (e.g., Tesla FSD, Waymo Robotaxi) and emerging technologies in North America and globally. · Conduct exploratory research on cutting-edge technologies related to world models, multimodal large models, and planning frameworks in AI. · Produce high-quality technical and strategic insight reports for internal stakeholders to inform roadmap and business decisions. · Collaborate with R&D and product teams to shape future research directions and support decision-making with clear, data-driven foresight. · Participate in academic engagements, including paper drafting and submission to top-tier AI conferences (e.g., NeurIPS, CVPR, ICRA, RSS).