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Senior Software Developer – Big Data

    • Markham, Ontario
  • pmnac

Job description

Huawei Canada has an immediate permanent opening for a Senior Developer.


About the team:

The Computing Data Application Acceleration Lab aims to create a leading global data analytics platform organized into three specialized teams using innovative programming technologies. This team focuses on full-stack innovations, including software-hardware co-design and optimizing data efficiency at both the storage and runtime layers. This team also develops next-generation GPU architecture for gaming, cloud rendering, VR/AR, and Metaverse applications.

One of the goals of this lab are to enhance algorithm performance and training efficiency across industries, fostering long-term competitiveness.

About the job:

  • Analyze the software requirements and software elements for system design.

  • Contribute to software development at the product or platform level.

  • Take charge of the design and code writing for a specific cross-sub-system or codes of key algorithms

  • Participate in different open source and standard meetings to present solutions

  • Mentor and lead a team of developers

  • Generate intellectual property such as patents and trade-secrets from research findings

  • Publish papers in peer-reviewed scientific journals/conferences

  • Present research findings at conferences and participate in research collaborations with external research institutes and universities

Job requirements

About the ideal candidate:

  • MSc, or PhD in one of computer science, software engineering, or computer engineering

  • 5+ years of professional software development experience with C++/Java, including object oriented design

  • 2+ years of experience contributing to the architecture and design of a system

  • Knowledge of the OS internals, compilers, Linux operating system, system/processor performance, CPU architecture

  • Proven experience with platform/system level development with performance profiling and tuning

  • Familiarity with mainstream big data related technologies and distributed frameworks is an asset

  • Familiar CICD, and tools such as Git, and Maven is an asset

  • Experience with Apache Flink or other streamed data engines is an asset

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