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Technical Expert - Data Center Network - Jobs in Waterloo

Job LocationWaterloo
EducationNot Mentioned
SalaryNot Mentioned
IndustryNot Mentioned
Functional AreaNot Mentioned
Job TypePermanent

Job Description

Software International (SI) supplies technical talent to Fortune 100/500/1000 companies in the USA and Canada.Our IOT global client is currently seeking to staff a Technical Expert - Data Center Network.Role : Technical Expert - Data Center NetworkLocation: Waterloo, ONType: OnsitePay: Based on ExperienceDuration: FULL TIMEJob descriptionOur team has an immediate permanent opening for a Technical ExpertResponsibilities:

  • Responsible for the technical planning in the computing network and cloud network domains. Focusing on the innovation in the computing, cloud, or storage domains, especially on the high-performance data exchange, and network-computing-storage codesign.
  • Responsible for planning the technical routes and incubating breaking-through innovations that help the company build technical competitiveness.
  • Responsible for industrial and academic technological insights, figuring out the innovation opportunity, promoting the acceptance of innovation technologies within the company, and promoting the company #39;s technology investment and layout.
  • Collaborate with the experts and HiSilicon/computing/cloud/storage product lines to promote the implementation of innovative technologies into commercial products.
Job requirementsWhat youll bring to the team:
  • PhD in Computer Science/Electrical Engineering/Software Engineering or related field
  • Experience in designing, developing, and researching cloud network architecture, computer architecture, or high-performance computing platforms.
  • Understanding of computing/cloud systems and communication networks and experience in leading large-scale R amp;D projects in related fields
  • Understanding of operating systems, communication protocol stacks, and hardware interconnection architecture
  • Familiar with the latest progress in the industry and academia; Strong curiosity, insight ability, and sense of direction about new technologies; Good at exploring large-granularity innovation opportunities
  • Understanding of the computing architecture, AI, cloud computing, storage, or related technical directions. Familiar with one or two sub-domains above, and have cross-domain background knowledge
  • Theoretical knowledge about one of the accelerators, such as NPU, GPU, or DPU as an asset

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