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Verified Job IT / Software / Data Analyst

Senior Software Developer – Big Data

Markham, Ontario
IT / Software / Data Analyst
#622392
Remote / WFH

Job Description

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

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++, 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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