Huawei Canada has an immediate permanent opening for a Hardware Insight Coach.
About the team:
The Software Engineering Coach Lab focuses on capability improvements.
Undertaking Huawei's trusted change strategy, this lab is responsible for
achieving the overall goal of trusted change, and systematically carries out
public capacity building and change enablement and management such as
trustworthy interpretation, change framework design and guidance, process IT and
management systems.
About the job:
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Responsible for driving technical foresight by leading initiatives on
emerging computing architectures that overcome the von Neumann bottleneck.
Focus areas include next-generation memory subsystems, advanced packaging
technologies, and high-performance interconnects.
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Responsible for supporting technology evaluation and strategic planning by
assessing the value, breakthrough potential, and technical challenges of
future computing and hardware innovations. Deliverables include in-depth
technical assessments and strategic policy recommendations to guide executive
decision-making.
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Responsible for monitoring global technological trends through active
engagement in international conferences, academic publications, and industry
exhibitions to stay ahead of key developments in computing technologies.
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Responsible for facilitating collaboration and knowledge exchange by
organizing technical workshops and forums, and maintaining strong
partnerships with leading academic and industry stakeholders to drive
innovation and joint initiatives.
The base salary for this position ranges from $190,000 to $350,000 depending on
education, experience and demonstrated expertise.
About the ideal candidate:
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Master's degree in Electrical and Computer Science or a closely related
field; a Ph.D. is an asset.
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Demonstrated experience in both academic and industry settings is an asset.
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Proven ability to identify and analyze trends and emerging technologies in
future computing and computing hardware.
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Strong team collaboration skills and the ability to work independently with a
high degree of self-motivation.
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In-depth understanding of the research ecosystem in North America related to
computing and hardware technologies, or established professional networks
within relevant academic institutions, research organizations, and industry
leaders, are assets.
