Co-op Researcher - AI Storage

Reposted 5 Days Ago
Be an Early Applicant
Markham, ON, CAN
In-Office
58K-104K Annually
Internship
Information Technology • Other
The Role
Research new style Network Filesystem storage, develop metadata management service, perform system testing, and drive root cause identification in storage environment. Participate in team meetings and report progress.
Summary Generated by Built In

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.

  • 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.

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.

Additional Information:

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.

Skills Required

  • Currently pursuing a Bachelor's degree in Computer Science or related field
  • Knowledge and experience in AI/LLM and storage system
  • Understanding of file system and LLM processing
  • Proficiency in C, C++, and Python programming
  • Strong research capability and ability to learn new technologies quickly
  • Ability to handle complex tasks and assess issues
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The Company
HQ: Markham, Ontario
1,770 Employees
Year Founded: 1987

What We Do

Founded in 1987, Huawei is a leading global provider of information and communications technology (ICT) infrastructure and smart devices. We are committed to bringing digital to every person, home and organization for a fully connected, intelligent world. We have approximately 197,000 employees and we operate in over 170 countries and regions, serving more than three billion people around the world. In Canada, Huawei conducts innovative and leading edge research in 5G technologies, along with advanced development of emerging cloud, device and network technologies & services. While our renowned Canada Research Centre in the thriving technology landscape of Ottawa, Ontario continues to grow rapidly in size and strategic product initiatives, additional presence has also been established across Canada with R&D facilities in Vancouver, Edmonton, Waterloo, Markham, Montreal, and a R&D office in Quebec City.

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