Huawei Canada
Technology
Co-opResearcher-ComputerNetworkforAIInfrastructure
Neural analysis suggests this role is
optimal for student-college candidates.
“Co-op Researcher - Computer Network for AI Infrastructure at Huawei Canada. Skills: AI infrastructure, HPC networking, Data-center networking, Distributed systems. Assist in creation of networking solutions. Assist in deployment of networking solutions”
Industry & Context.
Identify technical challenges
What They're Looking For.
Must Have
Master's or PhD degree, Proficiency in C++, Proficiency in Python, Academic/professional research experience, Engineering and technical innovation experience, Expertise in AI infrastructure, Expertise in HPC networking, Expertise in data-center networking, Expertise in RDMA, Expertise in network protocol stack optimization, Expertise in collective communication scheduling, Expertise in traffic engineering/routing, Expertise in congestion control, Expertise in topology design, Expertise in resource allocation, Experience in networking, Experience in data network architectures, Experience in software architecture, Experience in distributed systems, Demonstrated influence on networking technologies
What You'll Do.
Assist in creation of networking solutions
Assist in deployment of networking solutions
Analyze industry trends
Identify industry trends
Analyze company strategies
Identify company strategies
Identify core technical challenges
Bridge gap between research and business
Maintain communication with academia
Maintain communication with industry
Ensure Huawei's value delivery
How You'll Work.
Team & Collaboration
Communication with professionals; Cross-functional teams
Communication Scope
Industry communication
Full Job Description
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. ## Requirements 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
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