AI Technology and Strategic Planning Researcher
Listed on 2026-01-23
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IT/Tech
AI Engineer, Data Science Manager, Data Scientist, Data Analyst
AI Technology and Strategic Planning Researcher
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The team is at the core of Li Auto’s long-term vision to redefine intelligent mobility through Physical AI.
As part of the Intelligent Driving division, we focus on two strategic pillars:
- Technical Foresight – Continuously tracking and decoding global innovations in embodied intelligence, world models, autonomous agents, and real-world foundation models.
- Frontier Research – Conducting exploratory studies and developing foundational capabilities that empower the next generation of autonomous systems.
Our mission is to anticipate breakthroughs, translate them into actionable insights, and steer the organization’s roadmap in AI planning, decision-making, and simulation. We closely monitor the progress of industry leaders like Tesla and Waymo, while also contributing to top-tier academic outputs.
This is a team for researchers who think beyond today’s limitations and are driven to architect the AI systems of tomorrow.
Duties and responsibilities
- 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.
Requirements
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.
About Li Auto
We're a leading Chinese new energy vehicle company that designs, develops, manufactures, and sells premium smart electric vehicles (EVs). Through product, technology, and business model innovations, we provide families with safer, more comfortable, and more convenient products and services.
Seniority levelNot Applicable
Employment typeFull-time
Job functionInformation Technology, Project Management, and Engineering
Technology, Information and Media and Automation Machinery Manufacturing
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