Huawei Canada
Technology
ComputerNetworkforAIInfrastructureResearcher–DistributedComputing
Neural analysis suggests this role is
optimal for entry candidates.
“Computer Network for AI Infrastructure Researcher – Distributed Computing at Huawei Canada. Skills: AI infrastructure networking, Distributed systems, Cloud networking. Explore networking technologies. Develop networking technologies”
What You'll Achieve.
Deliver innovations; Deliver performance; Forge product competitiveness
Industry & Context.
Address data challenges
What They're Looking For.
Must Have
PhD degree in Computer Science, Proficiency in C++, Proficiency in Python, 3+ years research experience, 3+ years engineering experience, 3+ years technical innovation experience, Expertise in AI infrastructure networking, 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 architectures, Experience in data network architectures, Experience in software architecture, Experience in distributed systems, Demonstrated influence on networking technologies
Nice to Have
Academic influence on networking technologies, Industry influence on networking technologies
What You'll Do.
Explore networking technologies
Develop networking technologies
Deploy networking technologies
Explore new opportunities
Identify business problems
Identify core challenges
Orchestrate research and technologies
Maintain communication with professionals
How You'll Work.
Team & Collaboration
Academia professionals; Industry professionals
Full Job Description
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. ## Requirements About the ideal candidate: * PhD degree 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 ne
Applying for this Computer Network for AI Infrastructure Researcher – Distributed Computing role?
Most applicants get filtered before a human reads their resume. See if yours makes the cut.
ANONYMOUS · UNFILTERED
What do employees actually say about Huawei Canada?
Real rants from real employees. Read before you apply.