Research Engineer - AI Workload & Systems

Huawei Canada has an immediate 12-month contract opening for a Researcher. About the team: The Computing Data Application Acceleration Lab aims to create a leading global data analytics platform organized into three specialized teams using innovative programming technologies. This team focuses on full-stack innovations, including software-hardware co-design and optimizing data efficiency at both the storage and runtime layers. This team also develops next-generation GPU architecture for gaming, cloud rendering, VR/AR, and Metaverse applications. One of the goals of this lab are to enhance algorithm performance and training efficiency across industries, fostering long-term competitiveness. About the job: Frontier AI Technology Research - Track the evolution of state-of-the-art AI model architectures, including Large Language Models (LLMs), Vision Language Models (VLMs), advanced attention mechanisms, and Mixture-of-Experts (MoE) architectures. - Analyze the computational characteristics of emerging model architectures and Agentic AI training and inference workloads. Hardware-Oriented Workload Analysis - Develop a systematic framework to map AI applications and workloads to hardware requirements. - Identify key computational patterns, design efficient inference deployment strategies, and build analytical performance models. - Evaluate the impact of algorithmic and hardware innovations on system performance, and provide quantitative, explainable architectural recommendations for next-generation AI accelerators. The total target annual compensation (based on 2,080 hours per year) for this position ranges from $127,000 to $225,000 depending on education, experience, and demonstrated expertise.