Co-op Engineer - Computer Network for AI

Résumé du poste

Assist in the creation and deployment of next-generation networking solutions for global AI and cloud infrastructure. Analyze industry trends and company strategies to identify core technical challenges and bridge the gap between research and business needs.

Détails du poste

Huawei Canada has an immediate co-op opening for an 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: Assist in creation and deployment of next-generation networking solutions that power Huawei's global AI and cloud infrastructure. Help analyze and identify industry trends and company strategies to identify core technical challenges, bridging the gap between research and business needs with a cohesive strategic roadmap. Maintain effective communication with professionals in both academia and industry and ensure Huawei’s value is being delivered. The total target annual compensation (based on 2,080 hours per year) ranges from $58,000 to $104,000 depending on education, experience, and demonstrated expertise. About the ideal candidate: In pursuit of Bachelor, Master, or PhD degree in Computer Science, Machine Learning, or related technical fields. Proficiency in C++ and Python. Academic/professional experience in research, or engineering and technical innovation within computer networks or AI infrastructure. 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.

Ce que vous ferez

Assist in the creation and deployment of next-generation networking solutions for global AI and cloud infrastructure. Analyze industry trends and company strategies to identify core technical challenges and bridge the gap between research and business needs.

Exigences

Candidates must be pursuing a Bachelor, Master, or PhD degree in Computer Science, Machine Learning, or related fields. Proficiency in C++ and Python is required, along with academic or professional experience in computer networks or AI infrastructure.

Compétences indiquées

• C++ · Souhaitée
• Python · Souhaitée

Autres compétences pertinentes

Relevées dans la description du poste. Confirmez les exigences importantes ci-dessus.

• C++
• Python
• Computer Networks
• AI Infrastructure
• Distributed Systems
• RDMA
• Network Protocol Stack Optimization
• Collective Communication Scheduling
• Traffic Engineering
• Routing
• Congestion Control
• Topology Design
• Resource Allocation
• Data Network Architectures
• Software Architecture
• Influencing Skills
• Cloud-Native Computing
• Strategic Roadmaps
• Influencing Without Authority
• Effective Communication
• Serverless Computing
• Research
• Artificial Intelligence
• Management
• C++ (Programming Language)
• Cloud Infrastructure
• Communication
• Communications Protocols
• Computer Science
• Data Infrastructure
• Distributed Data Store
• Innovation
• Python (Programming Language)
• Machine Learning
• Network Protocols
• Remote Direct Memory Access
• Topology
• Scheduling
• Network Routing
• High Performance Computing
• Artificial Intelligence Infrastructure

Domaines d’emploi

• Technology
• Engineering
• Software
• Science & Research
• Data & Analytics
• Computer Network Engineer
• Network Engineer / Architect
• Computer Network Professionals
• Computer Network Architects