Principal Architect – Hardware Efficient Ai Foundation Model Training Markham

About the team

The Computing Data Application Acceleration Lab aims to create a leading global data analytics platform organized into three specialized teams using cutting‑edge 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 is to enhance algorithm performance and training efficiency across industries, fostering long‑term competitiveness. About the job

Collaborate with internal and external organizations to lead the design of foundational model architecture for LLM/Code/Multimodal subfields by breakthroughs in post‑training and continual training. Develop a foundational model with state‑of‑the‑art performance and hardware efficiency, and establish industry impact. Propose the technical requi...