Principal/Distinguished Engineer - Data and AI

Huawei Technologies Canada Co., Ltd.
Markham
CAD 100,000 - 160,000
Job description

Huawei Canada has an immediate permanent opening for a Principal/Distinguished 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:

  1. Understand competitive landscape for data processing and serverless infrastructure in cloud.
  2. Architect and develop framework/engine for the next-generation data + AI system.
  3. Deeply analyze user scenarios resulting in optimized software system solution.
  4. Learn and adopt new technologies (parallel, distributed systems, large-scale data analytics system, etc.), research, survey, and present industry trends to the team.
  5. Generate innovative ideas and new patent applications.

About the ideal candidate:

Deep domain expertise in the implementation of one or more of the following:

  1. Deep understanding of AI end to end data processing, scenarios and system optimizations.
  2. Core database internals component (example: query optimization, runtime, scheduling, storage engine, transaction processing, etc).
  3. Serverless platform infrastructure.

Strong problem solving skills and ability to learn quickly in a dynamic environment.

Bachelors in Computer Science/Electrical Engineering/Telecommunications.

Masters or PhD in relevant area is an asset.

Experience leading teams and products to generate business impact and customer success stories is an asset.

Able to lead and mentor team on design/technical skills including data structures, multi-threading, concurrency, performance optimizations, etc. is an asset.

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