Principal Architect – Hardware Efficient AI Foundation Model Training

Confidential

Markham, Ontario, Canada permanent

Posted: January 30, 2026

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Quick Summary

Principal Architect – Hardware Efficient AI Foundation Model Training

Required Skills

AI Model Training Hardware Efficiency Distributed Training Inference Infrastructures AI Frameworks PyTorch vLLM SGLang GPU Architecture PhD

Job Description

Huawei Canada has an immediate permanent opening for a Principal Architect.

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:

• 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 requirements for large-scale distributed training and inference infrastructures such as parallelization and operator fusion, analyze the computational characteristics of typical architectures, and ensure the accuracy and advancement of AI hardware & infrastructure evolution.

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