6G AI Researcher - Computer Vision & Physical Intelligence

【About the Role】

We are seeking an AI Researcher specializing in computer vision or robotics to advance Physical Intelligence. In this role, you will conduct applied research across the AI model lifecycle, from designing multimodal models to optimizing inference for reliable deployment in resource-constrained environments. Your work will support 5G/6G-enabled immersive communications, teleoperation, and intelligent robotic systems.

【Key Responsibilities】

• Conduct applied research in computer vision and multimodal learning, with a focus on developing novel algorithms, improving model accuracy and robustness, and reducing computational and inference overhead.
• Develop and optimize AI-enabled solutions that support low-latency, reliable, and resilient operation over telecommunication systems.
• Design, implement, and optimize AI models for robotic manipulation and control in resource-constrained environments.
• Collaborate with researchers and engineers to define research directions, develop prototypes, and translate research outcomes into practical solutions for real-world technical and business challenges.
• Stay current with advances in AI research, including emerging developments in telecom AI applications, robotics, and Physical AI.

【Technical Requirements】

• Proven research and development experience in computer vision, robotics, or related fields.
• Hands-on experience in computer vision model development, multimodal modeling and fine-tuning large language models (LLM).
• Proficiency in mainstream AI development frameworks, such as PyTorch or TensorFlow.
• Strong programming skills in at least one language, such as Python, C/C++.
• Knowledge of Vision-Language-Action (VLA) models and Physical AI systems would be an advantage.

【Preferred Qualifications】

• PhD in Computer Science or a related field, or equivalent practical experience.
• Demonstrated ability to independently drive research and development projects from conception through completion.
• Excellent problem-solving, analytical, and communication skills.
• Publications at leading peer-reviewed venues (i.e., AAAI, CVPR, ICML, NeurIPS, etc.) are preferred.