Technical Expert - Data Center Network

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Technical Expert - Data Center Network, Waterloo

Location: Waterloo, Canada

Job Category: Information Technology

Job Reference:

by7refus

Job Views:

1

Posted:

12.04.2025

Expiry Date:

27.05.2025

Job Description:

Huawei Canada has an immediate permanent opening for a Technical Expert.

About the team:

The Data Center Network Lab focuses on advancing next-generation data center networks and transport technologies. Working together with industry experts, the lab addresses complex networking challenges and integrates innovative research into various product lines. The team specializes in network protocol and architecture design for computing, cloud, and storage interconnections, aiming to establish a leading network system. This lab fosters personal and professional growth, encouraging learning and team development in the digital intelligence era.

About the Job:

1. Responsible for the technical planning in the computing network and cloud network domains, focusing on innovation in the computing, cloud, or storage domains, especially on high-performance data exchange, and network-computing-storage co-design.
2. Responsible for planning the technical routes and incubating breakthrough innovations that help the company build technical competitiveness.
3. 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 investments and layout.
4. Collaborate with experts and HiSilicon/computing/cloud/storage product lines to promote the implementation of innovative technologies into commercial products.

About the Ideal Candidate:

1. PhD in Computer Science/Electrical Engineering/Software Engineering or related field.
2. Experience in designing, developing, and researching cloud network architecture, computer architecture, or high-performance computing platforms.
3. Understanding of computing/cloud systems and communication networks, with experience in leading large-scale R&D projects in related fields.
4. Understanding of operating systems, communication protocol stacks, and hardware interconnection architecture.
5. Familiarity with the latest progress in the industry and academia; strong curiosity, insight ability, and sense of direction about new technologies; adept at exploring large-granularity innovation opportunities.
6. Understanding of computing architecture, AI, cloud computing, storage, or related technical directions, with familiarity in one or two sub-domains above and cross-domain background knowledge.
7. Theoretical knowledge about one of the accelerators, such as NPU, GPU, or DPU is an asset.