Co-op Researcher - AI Storage

Huawei Technologies Canada Co., Ltd.; Markham; On-site; CAD 35,000 - 55,000; Full time

Job summary

A leading technology firm in York Region is offering a co-op opportunity for a Researcher focused on next-generation storage technologies. The Researcher will work in a high-performance team, developing optimizations for data storage and performing system testing. The ideal candidate is pursuing a Bachelor’s degree, has programming skills in C, C++, and Python, and is knowledgeable in AI and storage systems. This is a valuable chance to contribute to innovative advancements in the AI era.

Qualifications

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

Responsibilities

• Research new style Network Filesystem storage and develop optimization algorithms.
• Perform system testing for high availability and reliable data storage solution.
• Drive toward root cause identification and resolution in storage environments.

Skills

AI/LLM knowledge

Python programming

C++ programming

Problem-solving

Research capability

Education

Bachelor’s degree in Computer Science or related field

Job description

Huawei Canada has an immediate co-op opening for a Researcher.

About the team:

The Emerging Storage Lab is a research group based at Huawei Canada's Toronto and Vancouver Research Centre that is focused on next‑generation 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 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.
• Work as part of a high performance, startup‑like team mainly using Python/C++ for development.

About the ideal candidate:

• 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.