Research Engineer: AI Workload & Systems

Huawei Technologies Canada Co., Ltd.

Markham

On-site

CAD 178,070 - 315,479

Full time

14 days+

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Job summary

Huawei Canada is seeking a Researcher for a 12-month contract to join the Frontier AI Technology Research initiative. The role focuses on hardware-aware AI workload analysis, kernel optimization, and evaluating next-generation accelerators for large-scale model training and inference.

The successful candidate will track evolving AI architectures (LLMs, MoE, sparse/linear attention), develop performance models, and provide architecture guidance to improve data efficiency and system performance in

Qualifications

Experience with AI accelerator architectures and memory hierarchies.
Hands-on kernel development using CUDA, Triton, or TileLang.
Experience with LLM inference systems and serving frameworks like vLLM or SGLang.
Ability to profile with Roofline-based methodologies.
Publication or open-source contributions in AI infrastructure are a plus.
Ph.D. in AI/CS is an asset.

Responsibilities

Track evolution of state-of-the-art AI model architectures including LLMs, VLMs, MoE.
Analyze computational characteristics of model architectures and workloads.
Develop a framework to map AI workloads to hardware requirements.
Identify patterns, design efficient inference deployment strategies, build performance models.
Provide architectural recommendations for AI accelerators.