Job Description

Company Description

About Huawei

Huawei is a leading global provider of information and communications technology (ICT) infrastructure and smart devices. With integrated solutions across four key domains - telecom networks, IT, smart devices, and cloud services - we are committed to bringing digital to every person, home and organization for a fully connected, intelligent world.

At Huawei, innovation focuses on customer needs. We invest heavily in basic research, concentrating on technological breakthroughs that drive the world forward. We have more than 180,000 employees, and we operate in more than 170 countries and regions. Founded in 1987, Huawei is a private company fully owned by its employees.

About Huawei Canada

Huawei Canada helps connect Canadians to world-leading high-speed wireless Internet - and supplies them with cutting-edge smart devices. In partnership with Canadian telecommunications providers, we work to bring the benefits of a reliable and secure digital experience to every person, home and organization, including those in rural and remote areas of the country. Huawei first came to Canada in 2008. Today, the company employs more than 1,100 Canadians in research and development, IT, sales and other fields. Huawei Canada is an active supporter of many charitable and community initiatives from coast to coast.



Responsibilities:

1. Collect, analyze, and process massive data of user connections on Huawei's global networks. Based on advanced deep learning, reinforcement learning, and Bayesian optimization technologies, build network training models, intelligent analysis and key feature extraction systems, and predict real-time communication qualities.

2. Lead and collaborate on research and implementation of advanced network technologies, including but not limited to network protocol stack optimization, traffic engineering, congestion control, routing, and resource allocation.

3. Explore optimization opportunities for cutting-edge data-driven and learning-based technologies in Huawei's global networks based on the latest research progress.

Qualifications

Minimum Qualifications:

• Degree in computer science, machine learning, statistics, applied mathematics, data science, or related technical fields.
• Knowledge in basic computer network protocols, e.g., TCP/IP, IPv6, HTTP, BGP and OSPF.
• Experience in theoretical and empirical research in machine learning.
• Proficient in using machine learning framework PyTorch, and programming language Python.
• Ability to apply, evaluate, and modify machine learning algorithms against various data sources and use cases.
• Interpersonal skills, cross-group, and cross-culture collaboration.

Preferred Qualifications:

• Work/internship experience in a university, industry, or government lab(s), in a role with primary emphasis on computer networking research.
• Experience in research or projects applying data-driven approaches into networking systems.
• Experience in using other current machine learning frameworks, e.g., MindSpore, TensorFlow and MXNet.
• Experience in developing and debugging in Go, JAVA, C/C++, or C#.
• First-author publications at top networking/AI conferences.

We thank all applicants for their interest, however only those candidates selected for interviews will be contacted.