Principal/Distinguished Engineer - Data and AI

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:

• Understand competitive landscape for data processing and serverless infrastructure in cloud.

• Architect and develop framework/engine for the next-generation data + AI system.

• Deeply analyze user scenarios resulting in optimized software system solution.

• Learn and adopt new technologies (parallel, distributed systems, large-scale data analytics system, etc.), research, survey, and present industry trends to the team.

• Generate innovative ideas and new patent applications.

About the ideal candidate:

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

  • Deep understanding of AI end to end data processing, scenarios and system optimizations

  • Core database internals component (example: query optimization, runtime, scheduling, storage engine, transaction processing, etc)

  • Large scale data processing (example: Flink, Spark, Presto, etc)

  • Big Data storage technologies (HDFS, Columnar Database, etc)

  • Scalable Key-Value store (Rocksdb, LevelDB, Redis, etc)

  • 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.