Principal Scientist - Software/Hardware Co-designJoin to apply for the Principal Scientist - Software/Hardware Co-design role at Huawei Canada.About the team: The Computing Data Application Acceleration Lab aims to create a leading global data analytics platform organized into three specialized teams using creative 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. They also develop next-generation GPU architecture for gaming, cloud rendering, VR/AR, and Metaverse applications. One goal of this lab is to enhance algorithm performance and training efficiency across industries, fostering long-term competitiveness.About the job:Build an accurate and universal AI performance model based on mainstream AI acceleration technologies to support theoretical analysis.Track emerging hardware designs in the industry, conduct in-depth insights and survey analysis, and identify the direction of key cutting-edge technologies.Collaborate with the AI research team to identify key performance bottlenecks in future AI workloads, and define key algo-hw co-design features of next-generation chips for low cost, high throughput, scalability,



and stability.Perform performance modeling of representative AI workloads with state-of-the-art training & inference algorithms on different hardware specifications for quantitative analysis of compute, memory, IO, and interconnect.Lead the team for breakthroughs in acceleration algorithms balancing model quality and compute efficiency.Track emerging algorithm-hardware co-design technologies, conduct in-depth analysis, and understand main directions and trends of cutting-edge technologies.Job requirements:Master's or Doctoral degree in Computer Science or Electronic Engineering.At least 5+ years of experience in low-level computing algorithm development, AI accelerators, large-scale parallel computing, or high-performance system design.Deep understanding of large language models/multimodal models, AI software stacks (operators, compilers, acceleration libraries, frameworks), and training/inference algorithms like hybrid parallelism, low precision data formats, sparsity, P/D splitting.Familiarity with AI chip microarchitecture is an asset.Seniority levelMid-Senior levelEmployment typeFull-timeJob functionEngineering and Information TechnologyIndustriesTelecommunicationsThis job posting is active. Referrals can increase your chances of interviewing at Huawei Canada. #J-18808-Ljbffr

📌 Principal Scientist - Software/Hardware Co-Design (Markham)
🏢 Huawei Canada
📍 Markham