Senior Researcher – Hardware Efficient AI Foundation Model Training

Huawei Canada is seeking a Senior Researcher to lead the design of foundational model architecture for LLM/Code/Multimodal subfields by breakthroughs in post-training and continual training. The ideal candidate will have experience in training and optimizing cutting-edge AI models/applications, proficiency in the latest AI architecture, and a deep understanding of AI algorithm mechanisms.

Requirements

• Experience in training and optimizing cutting-edge AI models/applications, especially in training and deploying AI models at a scale of 10B+ parameters.
• Proficiency in the latest AI architecture (such as long-sequence, reinforcement learning, multimodal, and agents).
• Deep understanding of AI algorithm mechanisms.
• Solid command of the underlying implementation of AI frameworks (such as PyTorch, vLLM, and SGLang), and mainstream distributed training and inference techniques.
• Familiarity with AI chip architecture (such as GPU, NPU, and TPU).
• Understanding of memory hierarchy and interconnect technologies is an asset.
• PhD in AI architecture, computer architecture, or related fields is an asset.
• Solid publication records in the field of AI systems or chip design is an asset.