Teams at Huawei Canada

Researches local technology ecosystems across AI, computing, semiconductors, data centers, networking, and software. Maintains vendor profiles, capability matrices, maturity assessments, intelligence databases, and dashboards. Tracks companies, startups, research labs, funding, policies, events, and technology developments. Produces weekly briefs, case studies, and preliminary materials for reports and presentations while assessing strategic opportunities and risks.

Conduct research in AI agents, large language models, multimodal AI, and computer vision. Develop agents, training methods, datasets, prototypes, benchmarks, and evaluation frameworks. Run experiments, analyze results, publish findings, and present technical work. The role emphasizes deep learning, computer vision, 3D camera models, diffusion transformers, distributed training, and rendering tools.

Develop and optimize high-performance operators and distributed training systems for foundation models on Ascend NPUs. Build kernels with AscendC, Triton, and TileLang; optimize MindSpeed, Megatron, PyTorch, and reinforcement-learning pipelines; tune hybrid parallelism, low-precision computation, and multi-node scaling. Profile hardware and communication bottlenecks, ensure numerical parity between training and serving, and contribute to open-source AI acceleration projects.