Huawei Canada is hiring a Strategic Research Engineer for a 12-month onsite contract in Markham, joining the Technology Planning and Cooperation Department to drive strategic innovation. You will explore future computing architectures that could break the Von Neumann bottleneck, evaluate value and breakthroughs, and deliver in depth technology and industry analyses to inform strategy, track developments, and organize seminars with academic and business partners. The ideal candidate has a CS background with a PhD asset, keen insight into future computing, strong teamwork and self learning, and experience spanning academia and industry or North American research connections. To apply, highlight leadership and the ability to translate complex tech into strategic recommendations.
Huawei Canada has an immediate 12-month contract opening for a Strategic Research Engineer.
About the team:
The Technology Planning and Cooperation Department promotes strategic innovation across all of Huawei Canada. Working with fellow experts, the focus is researching new and upcoming areas of technology as well as strategic planning to help achieve long term vision of Huawei. This department offers a unique opportunity to leverage both technical and business skills.
About the job:
From a technical point of view, exploit and conduct insight activities of new technology, especially the future computing architectures which could break through the Von Neumann bottleneck.
Analyze the potential value, technical breakthrough and technical difficulties of new technologies related to future computing. Make in-depth technology and industry analysis reports, providing an overview reference for the strategic decision-making.
Involve in tracking the latest technology achievements in the related fields through international conferences, publications and business exhibitions, etc.
Organize seminars and workshops in related fields and maintain regular technical exchanges with academic and business partners.
About the ideal candidate:
Education background in Computer Science or related disciplines. Ph.D. degree is an asset.
Keen insight and analytical ability of future computing.
Strong capabilities of teamwork and self-learning.
Work experience in both academic and industrial institutions is an asset.
Have a general vision or professional connections to resources in the areas described above in North American, including research institutes, universities, and companies is an asset.