Huawei Canada has an immediate permanent opening for a Senior Technical VP.
About the team:
The Emerging Storage Lab is a research group based at Huawei Canada's Toronto
and Vancouver Research Centre that is focused on next-generation storage
technologies and innovations. Our team comprises graduate computer engineers and
computer scientists with diverse industry experience, ranging from 0 to over 20
years. This lab investigates various storage-related topics, including data
management, data catalog, data fabric, file systems, storage networks, and AI
storage, aiming to advance the field and drive data storage technological
progress in the new AI era.
About the job:
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Define technology roadmap for AI & data storage, aligning with global R&D and
business objectives. Set the global research agenda for AI-optimized storage
and data platforms, including data lakes, warehouses, and intelligence
systems.
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Lead the lab’s transition to data-centric AI data storage research, ensuring
our innovations align with industry transformation. Drive pioneering research
in AI/LLM-optimized data intelligence systems, scalable data lakes/warehouses
and data storage.
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Serve as both architect and evangelist, shaping the technical roadmap while
maintaining hands-on involvement in critical projects. Hands-on involvement
in architecture reviews, performance optimizations, and critical design
decisions. Prototype next-gen architectures that unify storage, data
analytics, and AI into a cohesive data stack.
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Lead a world-class research lab, mentoring top-tier engineers and
researchers, fostering a culture of innovation and collaboration.
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Shape industry standards by publishing influential research, patenting novel
approaches, and representing Huawei in top-tier tech forums.
About the ideal candidate:
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15+ years in data systems research/engineering, with 5+ years in an technical
leadership role.
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Proven track record of delivering industry-leading research and pioneering
work in data management, data analysis, data infrastructure, storage systems,
or AI/ML scalability.
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Extensive hands-on experience and deep expertise in data storage
architectures or AI/ML infrastructure.
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Exceptional communication skills—able to articulate complex concepts to
executives and engineers alike.
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Passion for mentoring leaders and fostering innovation.
