Huawei Canada has an immediate co-op opening for a Researcher.
About the team:
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.
About the job:
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.
About the ideal candidate:
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.
Additional Information:
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.
Skills Required
- Pursuing Master or PhD in Computer Science, Machine Learning, or related technical field
- Proficiency in C++
- Proficiency in Python
- Academic or professional research or engineering experience in computer networks or AI infrastructure
- Expertise in AI infrastructure, HPC, or data-center networking technologies (including RDMA, network protocol stack optimization, collective communication scheduling, traffic engineering, routing, congestion control, topology design, resource allocation)
- Experience with networking, data network architectures, software architecture, and distributed systems
- Ability to analyze industry trends and bridge research with business strategy
- Effective communication and collaboration with academia and industry
- Demonstrated influence on networking technologies in academia or industry
What We Do
Founded in 1987, Huawei is a leading global provider of information and communications technology (ICT) infrastructure and smart devices. We are committed to bringing digital to every person, home and organization for a fully connected, intelligent world. We have approximately 197,000 employees and we operate in over 170 countries and regions, serving more than three billion people around the world. In Canada, Huawei conducts innovative and leading edge research in 5G technologies, along with advanced development of emerging cloud, device and network technologies & services. While our renowned Canada Research Centre in the thriving technology landscape of Ottawa, Ontario continues to grow rapidly in size and strategic product initiatives, additional presence has also been established across Canada with R&D facilities in Vancouver, Edmonton, Waterloo, Markham, Montreal, and a R&D office in Quebec City.
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