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.