Software Engineer - Serverless Distributed Data Systems

Huawei Canada has an immediate permanent opening for a Software 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:

• Work with a team of architects and engineers to design and develop framework/engine for the next-generation serverless data analytics and cloud.

• Deeply analyze and optimize software system performance.

• 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:

• Strong CS fundamentals, proficient in C++ or C, including proficiency with data structures, algorithms, and distributed systems.

• Proficient in systems programming skills including multi-threading, multi-processing, concurrency, etc.

• Background in distributed system internals or building core components (query optimization, query execution, storage engines, transaction processing, etc.) for large-scale data processing systems (e.g. Flink, Spark, Presto, etc.) is an asset.

• Experience with Big Data storage technologies (HDFS, Columnar Databases, etc.) or Scalable Key-Value stores (RocksDB/LevelDB, Redis, etc.) or Advanced Analytics systems (Time-Series, Streaming Processing, etc.) is an asset.

• Experience in networking, data network architectures, software architecture, or distributed systems is an asset.

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

• BS in Computer Science/Electrical Engineering/Telecommunications; MS or PhD is an asset.