Key Responsibilities

Focus on the training and inference optimization of foundation models (LLM/VLM), low-bit quantization techniques, operator fusion and kernel-level optimization, as well as the research and development of the next generation of Spatial Foundation Models.

LLM/VLM Acceleration and Optimization

• Focus on efficient training and inference acceleration of LLM/VLM models, including but not limited to mixed-precision training, KV cache management, and the deployment of low-bit quantization techniques;
• Continuously track the evolution of basic model operators (such as flash-attention) and emerging algorithmic architectures and computational paradigms.

Spatial Foundation Model Algorithm R&D

• Participate in the development of spatial foundation models, focusing on 3D scene generation and reconstruction, 3D representation learning, semantic understanding, including but not limited to 3D VAE, 3D Poin...