Senior Researcher – Hardware Efficient AI Foundation Model Training
Confidential
Posted: January 30, 2026
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Quick Summary
We are seeking a Senior Researcher to join our team in Markham, Ontario, Canada. The ideal candidate will have expertise in AI and data analytics, with a strong background in computer science and programming. The successful candidate will be responsible for developing innovative solutions for Huawei's Computing Data Application Acceleration Lab.
Required Skills
Job Description
Huawei Canada has an immediate permanent opening for a Senior 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:
• 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.