Research Engineer

3 weeks ago


Markham, Canada Huawei Technologies Canada Co., Ltd. Full time

Huawei Canada has an immediate permanent opening for a Research Engineer. 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 eventually 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. About the ideal candidate: Masters 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 networking, data network architectures, software architecture, and distributed systems. Demonstrated influence on networking technologies, in academia or industry context. #J-18808-Ljbffr


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