Co-op Researcher - AI Storage

The Emerging Storage Lab is a research group based at Huawei Canada's Toronto Research Centre that is focused on next-generation data and storage technologies and innovations. Our team comprises graduate computer engineers and computer scientists with diverse industry experience, ranging from 0 to over 20 years. This lab investigates various data storage-related topics, including data management, data catalog, data fabric, file systems, storage networks, and AI storage, aiming to advance the field and drive data storage technological progress in the new AI era.

About the job:

• Research new style Network Filesystem storage, develop metadata management service and workload-aware data and metadata access optimization algorithm.

• Perform system testing for high available and reliable data storage solution.

• Develop problem determination solution and drive toward root cause identification and resolution on storage environment.

• Participate daily stand‑ups and bi-weekly/monthly team meetings to report progress, discuss challenges, and stay aligned with project priorities.

The total target annual compensation for this position ranges from $58,000 to $104,000 depending on education, experience, and demonstrated expertise.

• Currently pursuing a Bachelor’s degree in Computer Science or a related field, and registered with the school’s co-op program.

• Knowledge and experience in AI/LLM and storage system, operating system structures.

• Good understanding of file system and LLM processing, such as, metadata layout, LLM inference flow.

• Proficient in C, C++, and Python programming.

• Strong research capability and ability to learn new technologies/products quickly.

• Ability to handle complex tasks by assessing issues and breaking down problems to reach an optimal solution.

Huawei Canada is committed to a fair, inclusive, and accessible recruitment process. If you require accommodation during any stage of the hiring process, please let us know and we will work with you to meet your needs.

All applications for this position are reviewed directly by our hiring team, we do not use artificial intelligence tools to screen or select candidates.