Technical Advisor - Data Center

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:
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 experts and HiSilicon/computing/cloud/storage product lines to promote the implementation of innovative technologies into commercial products.

The base salary for this position ranges from $190,000 to $350,000 depending on education, experience and demonstrated expertise.
About the Ideal candidate:
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 is an asset.