Computer Network for AI Infrastructure Researcher – Distributed Computing

huaweicanada; Ottawa; On-site; CAD 106,000 - 156,000; Full time

Job summary

Huawei Canada is seeking a Researcher to advance networking technologies for its global AI infrastructure and cloud/data-center networks. The role emphasizes R&D, system-level optimization, and cross-domain collaboration with academia and industry.

Required are a PhD in CS/ML or related fields, strong C++ and Python skills, and 3+ years of research or engineering experience. Knowledge of RDMA and HPC networking is highly valued. This is a permanent full-time opportunity in Canada.

Qualifications

• PhD in Computer Science, ML, or related field.
• 3+ years of academic or professional research experience.
• Proficiency in C++ and Python.
• Expertise in AI infrastructure, HPC or data-center networking technologies including RDMA, protocol optimization, scheduling, traffic engineering, congestion control, topology design, and resource allocation.
• Experience in networking, data networks, software architecture and distributed systems.
• Proven influence on networking technologies in academia or industry.

Responsibilities

• Explore, develop and deploy state-of-the-art networking technologies for Huawei's global AI infrastructure, cloud and data-center networks.
• Identify business problems and harness research into a cohesive technical road-map.
• Maintain effective communication with academia and industry to deliver Huawei's value.

Skills

C++

Python

Networking

Distributed systems

Research experience

Education

PhD in Computer Science/ML or related field

Tools

RDMA

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.

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 networking, data network architectures, software architecture, and distributed systems.

• Demonstrated influence on networking technologies, in academia or industry context.

Additional Information:

Huawei Canada is committed to a fair, inclusive, and accessible recruitment process. 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.

All applications for this position are reviewed directly by our hiring team, we do not use artificial intelligence tools to screen or select candidates.