Research Leader - Computer Network and Protocol

Huawei Canada has an immediate permanent opening for aChief 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 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.

Build up and maintain effective communication with professionals in both academia and industry and ensure Huawei’s value is being delivered.

About the ideal candidate :

10+ years of professional experience in research, or engineering and technical innovation.

3+ years of team leading of research or / 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 strong influence on the networking technologies, in academia or industry context.

PhD. In Computer Science / Computer Engineering / Telecommunications

#J-18808-Ljbffr