Company Overview
Huawei is a leading global information and communications technology (ICT) solutions provider. Through our constant dedication to customer-centric innovation and strong partnerships, we have established leading end-to-end capabilities across carrier networks, enterprise solutions, consumer products, and cloud computing. Our products and solutions are deployed in over 170 countries, serving more than one-third of the world’s population.
With 29 sites across Europe and 2000 researchers, Huawei’s European Research Institute (ERI) oversees fundamental and applied technology research, academic cooperation projects, and strategic technical planning across our network of European R&D facilities. The ERI includes the Zurich Research Center (ZRC), located in Zurich, Switzerland.
The research conducted at our lab will involve both Huawei's internal research staff and our academic partners from universities across Europe. We aim to provide an open research environment that encourages collaboration and long-term scientific inquiry, akin to leading universities and research institutions.
Position Available: (Senior) Researcher in Data Center Network
We are looking to strengthen our team of Data Center Network (DCN) researchers. In this role, you will be tasked with exploring research and development directions in DCN services and architecture, key DCN algorithms and protocols, and assisting the team in achieving significant technological innovations.
Responsibilities
- Stay informed on cutting-edge DCN technologies in both academia and industry.
- Conduct research on the top-level architecture and key technologies of next-generation DCNs.
- Collaborate with lab members to design and implement new DCN techniques.
- The scope of research includes but is not limited to network topology, traffic control technology, software-defined networks, optical and electrical hybrid networks, in-network computing, and more.
- Optimize the performance and efficiency of parallel computing systems, especially large-scale AI clusters, from the perspective of integrating network, computing, and storage systems.
Requirements
- Doctoral degree in Computer Science, Electronic Engineering, Artificial Intelligence, Automation, Mathematics, Physics, or related fields.
- Preference for candidates with experience in both industry and academia.
- Familiarity with data center networks and high-performance interconnection technology systems.
- Experience optimizing performance or efficiency of parallel computing systems.
- Background in large-scale distributed deep learning and familiarity with relevant infrastructure and key technologies.
- Self-motivated, ambitious, and possess strong team spirit with cross-cultural communication skills.
More Specifically
- Research experience in modern network technology or high-performance interconnection is preferred.
- Familiarity with cloud DCN technologies, including network architecture and resource pooling techniques.
- Ability to conduct research on distributed machine/deep learning, distributed storage, and high-performance computing systems.
- Knowledge of the infrastructure and key technologies for large-scale training/inference, with a focus on improving system scale and efficiency (optional).
- Understanding of network theory and optimization algorithms, with an emphasis on DCN business service assurance, network congestion control, and traffic scheduling/forecasting.
- Experience in innovative research regarding new data center architectures, protocols, hardware, and algorithms, including CXL bus protocol extensions and GPU cluster interconnections.
Apply online using the form below. Please note that only applications matching the job profile will be considered.