Huawei Canada has an immediate permanent opening for a Senior Technical Expert -
Distributed Data Systems.
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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Responsible for leading innovation in large-scale distributed data systems
and AI + big data technologies, with the goal of building industry-leading
capabilities into the company’s core products and driving commercial success
through concept, architecture, and technical innovation.
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Responsible for driving technological breakthroughs in distributed data
systems by integrating cutting-edge ideas from academia, industry, and the
open-source community, and leading the planning of technology direction,
architecture design, and key innovations.
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Responsible for implementing critical technologies in the company’s
mainstream business scenarios, supporting the creation of flagship products
across various domains, and exploring new business opportunities and
monetization models.
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Responsible for developing the ecosystem around distributed data systems,
defining ecosystem development strategies and execution plans to build strong
industry influence.
The base salary for this position ranges from $190,000 to $350,000 depending on
education, experience and demonstrated expertise.
About the ideal candidate:
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Master's or PhD Degree in Computer Science or related fields such as
Mathematics, Computer Engineering.
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8+ years of work experience in the related fields such as Distributed
Systems.
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Strong capability in system architecture and technological innovation, with a
deep understanding of the latest industry advancements in distributed data
systems.
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Proven track record of successful projects and professional expertise in
related domains, with the ability to lead complex initiatives to success.
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Familiar with the current trends, challenges, and applications in the field
of distributed data systems and AI data infrastructure.
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Excellent strategic thinking, cross-team collaboration, and problem-solving
skills, with the ability to transform advanced technologies into competitive
business solutions.