Huawei Technologies Canada Co., Ltd.
Computer Network for AI Infrastructure Researcher – Distributed Computing
Markham, Ontario, Canada
Sponsorship not specified$106k-$156kDetected 64 days ago
C++Machine LearningResearchCommunication
About the role
- This lab addresses various data challenges, including cloud-native disaggregated databases, pay-by-query user models, and optimizing low-level data transfers via RDMA.
Responsibilities
- Maintain effective communication with professionals in both academia and industry and ensure Huawei's value is being delivered.
Nice to have
- 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
- Experience in networking, data network architectures, software architecture, and distributed systems.
Skills
- Huawei Canada is committed to a fair, inclusive, and accessible recruitment process.
- Demonstrated influence on networking technologies, in academia or industry context.
Compensation
- $106k-$156k
Company info
- 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.
- 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.
- 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: PhD degree in Computer Science, Machine Learning, or related technical fields.
- 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.
Equal opportunity
- 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.
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