AI Research Scientist

• 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).

Education/Experience

• Master’s or PhD degree in Artificial Intelligence, Robotics, Computer Science, Cognitive Science, or related disciplines.
• Minimum 5 years of experience in autonomous driving, embodied AI, strategy research, or related technical domains.
• Proven experience in technology foresight, strategy consulting, or academic research related to Physical AI is highly preferred.

Knowledge

• Familiar with technical architectures of autonomous driving and Physical AI systems, including planning, simulation, and LLM/VLM integration.
• Understanding of multimodal foundation models (e.g., GPT-4V, Gemini, MM-ReAct), NeRF/3D scene generation, and decision-making frameworks.
• Awareness of global industry and academic trends in intelligent mobility and robotics.

Skills and Competencies

• Strong analytical, synthesis, and strategic thinking capabilities.
• Excellent writing and communication skills in English; bilingual in Chinese is a plus.
• Ability to work cross-functionally, manage uncertainty, and handle ambiguity in emerging technology domains.
• Self-motivated, intellectually curious, and oriented toward high-impact results.