Co-op Researcher - Computer Network and Protocol

The Distributed Data Storage and Management Lab leads research in distributed data systems, aiming to develop next-generation cloud serverless products that encompass core infrastructure and databases. This lab addresses various data challenges, including cloud-native disaggregated databases, pay-by-query user models, and optimizing low-level data transfers via RDMA. Teams within this lab create advanced cloud serverless data infrastructure and implement cutting-edge networking technologies for Huawei's global AI infrastructure.

• Assist in creation and deployment of next-generation networking solutions that power Huawei's global AI and cloud infrastructure.

• Help analyze and identify industry trends and company strategies to identify core technical challenges, bridging the gap between research and business needs with a cohesive strategic roadmap.

• Maintain effective communication with professionals in both academia and industry and ensure Huawei’s value is being delivered.

The total target annual compensation (based on 2,080 hours per year) ranges from $58,000 to $104,000 depending on education, experience, and demonstrated expertise.

• In pursuit of Master, or PhD degree in Computer Science, Machine Learning, or related technical fields.

• Proficiency in C++ and Python.

• Academic/professional experience in research, or engineering and technical innovation within computer networks or AI infrastructure.

• Expertise in AI infrastructure, HPC or data-center networking technologies, including but not limited to; RDMA, network protocol stack optimization, collective communication scheduling, traffic engineering/routing, congestion control, topology design and resource allocation.

• Experience in networking, data network architectures, software architecture, and distributed systems.

• Demonstrated influence on networking technologies, in academia or industry context.

Huawei Canada is committed to a fair, inclusive, and accessible recruitment process. If you require accommodation during any stage of the hiring process, please let us know and we will work with you to meet your needs.

All applications for this position are reviewed directly by our hiring team, we do not use artificial intelligence tools to screen or select candidates.