Distinguished Architect - Data and AI

Job Description

<p>Huawei Canada has an immediate permanent opening for a Distinguished Architect.</p><h3>About the team</h3><p>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.</p><h3>About the job</h3><ul><li>Understand competitive landscape for data processing and serverless infrastructure in cloud.</li><li>Architect and develop framework/engine for the next-generation data and AI system.</li><li>Deeply analyze user scenarios resulting in optimized software system solution.</li><li>Learn and adopt new technologies (parallel, distributed systems, large-scale data analytics system, etc.), research, survey, and present industry trends to the team.</li><li>Generate innovative ideas and new patent applications.</li></ul><h3>About the ideal candidate</h3><ul><li>Experience leading teams and products to generate business impact and customer success stories.</li><li>Able to lead and mentor team on design/technical skills including data structures, multi-threading, concurrency, performance optimizations, etc.</li><li>10+ years experience in the implementation of one or more of the following: AI end to end data processing, scenarios and system optimizations, core database internals (Ex: query optimization, runtime, scheduling, storage engine, transaction processing, etc.), large scale data processing (Ex: Flink, Spark, etc.), scalable key-value store (Ex: RocksDB, LevelDB, Redis, etc.), and serverless platform infrastructures.</li><li>Strong problem solving and ability to learn quickly in a dynamic environment.</li><li>Bachelor’s degree in Computer Science/Electrical Engineering/Telecommunications; MS or PhD is an asset.</li></ul>
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