TCLEmbodied AI Architect
任职要求
教育背景(含技能证书):计算机科学、机器人、电气工程或相关领域的硕士或博士学位。; 工作经验:在机器人软件架构领域有5年以上的经验，专注于具身人工智能。; 必备技能:1、精通机器学习（PyTorch，TensorFlow）和编程（C++，Python，Java） 2、较强的解决问题和分析能力。 3、优秀的沟通和团队合作能力。 4、熟练掌握英语和普通话（口语和书面）。 5、在快节奏、模糊的环境中独立工作的能力。; 加分技能:具有虚拟现实（VLM）、多模式学习和VLA系统的经验。 对Android操作系统和嵌入式实时系统有深入的了解。
工作职责
职责模块：•System Architecture:; 职责描述:•Design and oversee end-to-end software architecture for embodied AI in home robots. •Define interfaces and protocols for system components. •Manage sensor and camera data for informed AI decision-making. •Guide middleware, simulation, and tool selection. -维护数据集版本控制和文档编写。 -整合用户和产品的反馈，以改进数据。 - 与算法工程师、产品经理和其他团队合作。; 权重:50%。 职责模块：•Integration & Optimization:; 职责描述:•Ensure seamless integration across hardware, AI algorithms, and cloud services. •Profile, debug, and optimize system performance. •Establish best practices for development, testing, and deployment.; 权重:25%。 职责模块：•Collaboration:; 职责描述:•Work with hardware, data science, and product teams to align technical and product goals. •Cooperate with researchers to design and develop advanced algorithms for perception, reasoning, planning, human-robot interaction (HRI) and emotional intelligence; 权重:15%。 职责模块：•Strategic Input; 职责描述:•Contribute to long-term vision and planning. •Represent the lab at conferences and industry events.; 权重:10%。
About the Role TCL Industries seeks a visionary Embodied AI Architect to lead software architecture for next-generation home assistant robots. You will design intelligent, interactive systems, integrating perception, planning, navigation, manipulation, HRI, and emotional modules. Collaborate with multidisciplinary teams to drive robotics innovation. Key Responsibilities •System Architecture: •Design and oversee end-to-end software architecture for embodied AI in home robots. •Define interfaces and protocols for system components. •Manage sensor and camera data for informed AI decision-making. •Guide middleware, simulation, and tool selection. •Integration & Optimization: •Ensure seamless integration across hardware, AI algorithms, and cloud services. •Profile, debug, and optimize system performance. •Establish best practices for development, testing, and deployment. •Collaboration: •Work with hardware, data science, and product teams to align technical and product goals. •Cooperate with researchers to design and develop advanced algorithms for perception, reasoning, planning, human-robot interaction (HRI) and emotional intelligence •Strategic Input: •Contribute to long-term vision and planning. •Represent the lab at conferences and industry events.
· 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).
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、面向通用人形机器人，打造行业领先的具身大模型，实现全身动作控制、场景及任务可泛化的、可scaling的VLA大模型研究，形成持续的技术影响力并引领国际行业发展。