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Open nowFirst seen 47 days ago

Technical VP - Big Data Platform

Huawei Technologies Canada Co., Ltd.184 open roles

Where
Markham, Ontario, Canada
Work mode
On site
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Your applicationOpen nowTechnical VP - Big Data PlatformHuawei Technologies Canada Co., Ltd. · Markham, Ontario, Canada

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  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

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The clock on this job

Early applications get read.

13.9% of postings close within 7 days. Measured by our own scanner across the market. Huawei Technologies Canada Co., Ltd. postings stay open a median of 40 days.

Share of postings closed within
  1. 2.2%1 day
  2. 4.7%3 days
  3. 13.9%7 days
  4. 22.4%14 days
  5. 38.1%30 days
  6. 59.0%60 days
This job: first seen 47 days ago

Huawei Technologies Canada Co., Ltd. median: 40 days open

The posting

Huawei Canada has an immediate permanent opening for a Technical VP.

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:

  • Conduct in-depth analysis and gain insights into mainstream products and advanced technologies in the data domain. Lead core technological breakthroughs and innovation in areas including big data engines, databases, data-AI integration, data engineering for large models, and hardware-software co-design for heterogeneous platforms. Explore the evolving direction of AI and big data/database, driving the advancement of cutting-edge technologies.
  • Formulate a comprehensive "Data+AI" technology strategy and roadmap, acting as a technical visionary on projects to ensure commercial success. Lead the development of data-domain products, creating industry-leading Data+AI solutions to meet the data processing demands of the large model era.
  • Attract top global talent in the data domain to build a world-class research team. Lead the team to deliver high-quality, competitive products, ensuring the leading position in the market. Serve as the Chair of the Big Data Committee, presiding over major technical design reviews and the decision-making process.
  • Engage with the big data industry and academic communities through conferences and other forums. Leverage open-source platforms and projects to enhance the influence of the Kunpeng architecture and its ecosystem in the AI and big data landscape.

About the ideal candidate：

  • In-depth understanding of the architecture and performance optimization of at least one major big data engines, such as Spark, Flink, Presto, HBase, or Hive.
  • Familiarity with the principle of databases like PostgreSQL and MySQL, with a profound understanding of distributed database architectures such as Shared-Nothing and Shared-Everything.
  • Deep understanding of the Data & AI domain with proven experience in design and development. Extensive experience in data engineering tailored for large models, knowing the specific data requirements.
  • Proven track record of successfully designing, developing, and delivering solutions involving hardware-software co-design for CPU + GPU/NPU environments.
  • Demonstrated contributions to architectural design and implementation of big data engine/database solutions, with remarkable commercial impact. Publications in top-tier conferences or patents in the big data field are preferred.
  • Proven experience in managing global R&D teams and leading them effectively across different time zones.
  • Familiarity with the ARM chipset and ecosystem is an asset.
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