Huawei Canada has a 12/16-month Co-op 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:
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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.
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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.
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Maintain effective communication with professionals in both academia and
industry to ensure Huawei’s value is being delivered.
About the ideal candidate:
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In pursuit of a degree in Computer Science, Machine Learning, or related
technical fields.
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Proficiency in C++ and Python.
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Experience in academic/professional research, or engineering and technical
innovation.
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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.
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Experience in networking, data network architectures, software architecture,
and distributed systems.
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Demonstrated participation on networking technologies, in academia or
industry context.
