31 Dec
Software International
Toronto
Research Director - Data Center Networks
Location: Toronto or Waterloo, ON
Salary: CAD 100,000 - 125,000
About the Job:
Software International (SI) supplies technical talent to a variety of Fortune (phone hidden) and other companies in Canada/US. We currently have a Fulltime, permanent role as a Research Director - Data Center Networks with our global Fortune 100 ICT client at their Toronto or Waterloo office. The role is open to international sponsorship from abroad (US, Europe, Asia).
Type: Full time, Permanent
Required Start Date: ASAP
In this role, you will spearhead the research of a Lab that focuses on advanced Data Center Network technologies. You will work with global and local teams to plan and design next generation tech.
Responsibilities:
- Responsible for the technical planning in the computing network and cloud network domains, focusing on innovation in computing, cloud, or storage domains, especially on high-performance data exchange and network-computing-storage co-design.
- Responsible for planning the technical routes and incubating breakthrough innovations that help the company build technical competitiveness.
- Responsible for industrial and academic technological insights, identifying innovation opportunities, promoting the acceptance of innovative technologies within the company, and advocating for the company's technology investment and layout.
- Collaborate with experts and HiSilicon/computing/cloud/storage product lines to promote the implementation of innovative technologies into commercial products.
Job Requirements:
What you'll 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, with experience in leading large-scale R&D; projects in related fields.
- Understanding of operating systems, communication protocol stacks, and hardware interconnection architecture.
- Familiarity 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 computing architecture, AI, cloud computing, storage, or related technical directions. Familiar with one or two of the 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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