Research Director - Data Center Networks

Overview

Research Director - Data Center Networks

Location: Toronto or Waterloo, ON

Salary: CA$ 275,000.00 - 300,000.00 (Canadian Dollar)

This is a full-time, permanent role with Software International (SI) sourcing technical talent for Fortune 100/500/1000 and other companies in Canada/US. The role is open to international sponsorship from abroad (US, Europe, Asia).

Role

Role(s) Required: Research Director - Data Center Networks

Location: Toronto or Waterloo, ON

Required Start Date: ASAP

Type: Full time, Perm

Salary: $275,000 - $300,000 + signing bonus + bonus and many other job perks

Responsibilities

• 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\'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 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 and experience in leading large-scale R&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