Embodied AI Architect

7 days ago

Shanghai, Shanghai, China 鸿鹄实验室 Full time CN¥150,000 - CN¥200,000 per year
工作职责

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.

任职要求
Qualifications
Master's or PhD in Computer Science, Robotics, Electrical Engineering, or related field.
5+ years in robotics software architecture, focused on embodied AI.
Expertise in at least three: perception, planning, navigation, manipulation, HRI, or affective computing.
Experience with robotics frameworks (e.g., ROS), simulations, and hardware.
Proficient in machine learning (PyTorch, TensorFlow) and programming (C++, Python, Java).

Soft Skills
Strong problem-solving and analytical skills.
Excellent communication and teamwork.
Adaptable, willing to travel.
Innovative, proactive learner.
Fluent in Mandarin and English.

Preferred
Experience with VLMs, multi-modal learning, and VLA systems.
Deep knowledge of Android OS and embedded real-time systems.

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