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An established industry player is seeking a Chief Researcher to lead innovative research in networking technologies and protocols. This role involves exploring and developing cutting-edge solutions for cloud and data-center networks, enhancing product competitiveness. With a focus on AI infrastructure and distributed systems, the ideal candidate will have extensive experience and proven leadership in the field. Join a forward-thinking team dedicated to advancing technology and addressing complex data challenges in a dynamic environment.
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Location:
Markham, Canada
Information Technology
2tvpbyo1
3
27.04.2025
11.06.2025
Huawei Canada has an immediate permanent opening for a Chief 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:
Lead our research team to 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 enhance product competitiveness.
Explore new opportunities by understanding company and product strategies, industry trends, and identifying core business challenges, orchestrating research and technology development into a cohesive technical roadmap.
Build and maintain effective communication with professionals in academia and industry to ensure Huawei’s value is delivered.
About the ideal candidate:
10+ years of professional experience in research, engineering, or technical innovation.
3+ years of team leadership experience in research or technical innovation.
Expertise in AI infrastructure, HPC, or data-center networking technologies, including 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.
Proven influence on networking technologies in academia or industry contexts.