Intern Researcher – AI Foundation Model Training

Currently pursuing a PhD or Master Degree in Computer Science, Electrical Engineering, or a related field, with exposure to areas such as: AI architectures (e.g., transformers, mixture-of-experts), Computer architecture (e.g., memory systems, interconnects) or related domains

Familiarity with one or more of the following: Deep learning frameworks (e.g., PyTorch, vLLM, SGLang), large-scale model training concepts, distributed training fundamentals (e.g., data/model/tensor parallelism).

Demonstrated interest in research and development through: Academic projects, internships, or publications.

Technical Interests (experience in at least one is a plus) : Multimodal model development, Reinforcement learning, Long-context modeling, AI agent systems, hardware-aware model optimization or neural architecture search.

Preferred qualifications: Hands-on experience with GPUs or AI accelerators (e.g., GPU / NPU / TPU), Contributions to academic or open-source ML projects, prior internship or research experience in AI/ML systems.

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.