Researcher - Data Centre Networking

Huawei Canada has an immediate permanent opening for a Researcher.

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:

• Conduct cutting edge research within networking domain for large scale distributed systems or clusters in Data Centers in the cloud or on prem

• Produce DCN related surveys and insights regarding technical dynamics and trends of both industry and academia

• Assist in defining research thrusts for internal projects as well as potential cooperation with academia

• Lead certain research directions and propose technical solutions to assigned research thrusts

• Deliver committed results to meet the project goals

About the ideal candidate:

• Ph.D. degree in Networking, Computer Science, Computer Engineering, Electrical Engineering or any related fields

• Any research or industry experience is highly preferred in one or more of the following fields:

  • Network traffic control such as congestion control, load balancing, scheduling

  • Network architecture related research such as topology, routing and flow control

  • Network Transportation Protocol design or optimization such as RoCE, etc

  • Network function offloading to Network Interface Card (NIC) or to Network

  • Large Network simulation for data plane or control plane algorithm performance optimization such as throughput, latency or jitter

• Excellent Python/C/C++ programming skills as well as experience using network simulation tools such as NS3 and other similar tools

• In-depth understanding on how IP/Ethernet network works including both control plane and data plane

• Knowledge of AI/ML/LLM in general; in particular knowledge of popular LLMs such as OpenAI, LLaMa, DeepSeek, etc. Understanding how these models work, their communication patterns and characteristics is an asset

• Experience working with Network Interface Card (NIC)/DPU is an asset

• Proof of successful project delivery history

• Strong soft skills like curiosity, ability to learn quickly and adapt to fast changing research dynamics, excellent communication and presentation skills

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