Huawei Canada has an immediate permanent 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:
Explore, develop and deploy state-of-the-art networking technologies and protocols for Huawei's global AI infrastructure, cloud and data-center networks, delivering innovations and performance to forge product competitiveness.
Explore new opportunities with understanding of the company/product line strategies and industry development trends and identification of business problems and core challenges, orchestrating research and technologies across the research and business scene into a single, cohesive technical road-map.
Maintain effective communication with professionals in both academia and industry and ensure Huawei’s value is being delivered.
The total target annual compensation for this position ranges from $106,000 to $156,000 depending on education, experience, and demonstrated expertise.
About the ideal candidate:
Master’s degree or higher (or equivalent practical experience) in Computer Science, Machine Learning, or related technical fields.
Proficiency in C++ and Python.
3+ years of academic/professional experience in research, or engineering and technical innovation.
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
- Master's degree or higher, or equivalent practical experience, in Computer Science, Machine Learning, or a related technical field
- Proficiency in C++ and Python
- At least 3 years of academic or professional experience in research, engineering, or technical innovation
- Expertise in AI infrastructure, HPC, or data-center networking technologies
- Experience with RDMA, network protocol stack optimization, collective communication scheduling, traffic engineering or routing, congestion control, topology design, or resource allocation
- Experience in networking, data network architectures, software architecture, and distributed systems
- 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.
