About the job
Join Huawei Canada as a Principal Scientist in our Computing Data Application Acceleration Lab!
About the Team:
Our lab is at the forefront of building a premier global data analytics platform, segmented into three specialized teams leveraging cutting-edge programming technologies. We focus on comprehensive innovations, particularly software-hardware co-design, to optimize data efficiency at both storage and runtime layers. Additionally, we are pioneering next-generation GPU architecture tailored for gaming, cloud rendering, VR/AR, and Metaverse applications.
Our mission is to enhance algorithm performance and training efficiency across various sectors, cultivating long-term competitiveness.
About the Role:
Develop a precise and universal AI performance model utilizing mainstream AI acceleration technologies for comprehensive theoretical analysis.
Monitor emerging hardware designs within the industry, performing in-depth analysis to pinpoint the trajectory of key advanced technologies.
Collaborate with our AI research team to uncover critical performance bottlenecks in future AI workloads and define essential algo-hw co-design features for our next-generation chips, focusing on low cost, high throughput, scalability, and stability.
Model performance of representative AI workloads using state-of-the-art training and inference algorithms across various hardware specifications to conduct quantitative assessments of compute, memory, I/O, and interconnect.
Lead our team towards breakthroughs in acceleration algorithms, achieving the best balance between model quality and computational efficiency.
Stay abreast of emerging algorithm-hardware co-design technologies, conducting detailed insights and analyses to grasp the key directions and trends in this cutting-edge area.

