Researcher - Computer Network for AI
Huawei Technologies Canada Co., Ltd. Open · verified Oct 22, 2026 At a glance
Mid-level AI Research role at Huawei Technologies Canada Co., Ltd. Markham · full-time · CA$106,000–CA$156,000 base.
aimlroles summary, based on the employer's posting.
What you'll do
- Develop and put networking methods and protocols into use across AI infrastructure, cloud systems and data-center networks
- Find business and technical problems, then shape research and technology into a unified technical roadmap
- Track product strategy and industry shifts to identify new research opportunities
- Stay connected with academic and industry professionals and communicate the value of your work
What you bring
- A master’s degree or higher in computer science, machine learning or a related technical field, or equivalent practical experience
- At least three years in research, engineering or technical innovation
- Working proficiency in C++ and Python, plus experience with networking architectures and distributed systems
- Deep knowledge of AI infrastructure, HPC or data-center networking, such as RDMA, congestion control or another listed area
- A record of influencing networking technology in academia or industry
Who this fits
This mid-level, onsite role in Markham suits you if you combine networking research or engineering with practical knowledge of AI infrastructure, HPC or data-center networks. You’ll work across research and business priorities and maintain relationships with academic and industry professionals.
From the employer
Huawei Canada has an immediate permanent opening for a Researcher.
About the team:
The Distributed Data Storage and Management Lab leads research in distributed data systems, aiming to develop next-generation cloud serverless products that encompass core infrastructure and databases. This lab addresses various data challenges, including cloud-native disaggregated databases, pay-by-query user models, and optimizing low-level data transfers via RDMA. Teams within this lab create advanced cloud serverless data infrastructure and implement cutting-edge networking technologies for Huawei's global AI infrastructure.
About the job:
Explore, develop and deploy state-of-the-art networking technologies and protocols for Huawei's global AI infrastructure, cloud and data-center networks, delivering innovations and performance to forge product competitiveness.
Explore new opportunities with understanding of the company/product line strategies and industry development trends and identification of business problems and core challenges, orchestrating research and technologies across the research and business scene into a single, cohesive technical road-map.
Maintain effective communication with professionals in both academia and industry and ensure Huawei’s value is being delivered.
The total target annual compensation for this position ranges from $106,000 to $156,000 depending on education, experience, and demonstrated expertise.
About the ideal candidate:
Master’s degree or higher (or equivalent practical experience) in Computer Science, Machine Learning, or related technical fields.
Proficiency in C++ and Python.
3+ years of academic/professional experience in research, or engineering and technical innovation.
Expertise in AI infrastructure, HPC or data-center networking technologies, including but not limited to; RDMA, network protocol stack optimization, collective communication scheduling, traffic engineering/routing, congestion control, topology design and resource allocation.
Experience in networking, data network architectures, software architecture, and distributed systems.
Demonstrated influence on networking technologies, in academia or industry context.
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.