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Research Engineer - Computer Network and Protocol

Job in Markham, Ontario, Canada
Listing for: Huawei Technologies Canada Co., Ltd.
Full Time position
Listed on 2026-01-05
Job specializations:
  • IT/Tech
    Data Engineer, AI Engineer
Salary/Wage Range or Industry Benchmark: 80000 - 110000 CAD Yearly CAD 80000.00 110000.00 YEAR
Job Description & How to Apply Below

Huawei Canada has an immediate permanent opening for a Research Engineer.

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 eventually 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.

About the ideal candidate:
  • Masters degree 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.

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