Intern Researcher - AI Computing System

Ph.D or Masters student in Computer Science, Computer Engineering majors in artificial intelligence, computer science, software, automation, electronics, communications, robotics, etc.

Familiar with the common model structures of large models such as Deepseek and Llama, and have basic technical accumulation in large model training and inference optimization in the fields of LLM, MoE, multimodality, etc.

Familiar with the hardware architecture and programming system of AI accelerators such as GPU/NPU, and have experience in optimizing AI systems with coordinated software and hardware cores.

Those with any of the following experience is an asset: 1) Solid programming foundation, familiar with Python/C/C++ programming languages, good architecture design and programming habits 2) Ability to work independently and solve problems, good at communication, willing to cooperate, keen on new technologies, good at summarizing and sharing, and like hands-on practice 3) Experience in the development of AI training frameworks and AI reasoning engines, or algorithm hardware and related experience 4) Strong research capabilities in new technologies and new architectures, can quickly track and gain insights into the most cutting-edge AI technologies in the industry, and lead the continuous leadership of system architecture innovation.

Huawei Canada is committed to a fair, inclusive, and accessible recruitment process. If you require accommodation during any stage of the hiring process, please let us know and we will work with you to meet your needs.

All applications for this position are reviewed directly by our hiring team, we do not use artificial intelligence tools to screen or select candidates.