Company Overview
Huawei is a leading global information and communications technology (ICT) solutions provider. Through our unwavering dedication to customer-centric innovation and strong partnerships, we have established unparalleled end-to-end capabilities across the carrier networks, enterprise, consumer, and cloud computing sectors. Our products and solutions are deployed in over 170 countries, serving more than one-third of the world’s population.
With 29 locations across Europe and a team of 2,000 researchers, Huawei’s European Research Institute (ERI) spearheads both fundamental and applied technology research, academic collaborations, and strategic technical planning throughout our network of European R&D facilities. Notably, the Zurich Research Center (ZRC) is located in Zurich, Switzerland.
The research conducted at the lab will involve Huawei’s internal research staff collaborating with academic partners from leading universities across Europe. Our lab fosters an open research environment, encouraging academics to engage in long-term research alongside Huawei staff under conditions that mirror the best universities and research institutes, creating a setting conducive to world-class scientific advancement.
Position Available
To enhance our Data Center Network (DCN) team, we are seeking a:
(Senior) Researcher in Data Center Network
In this role, you will lead research efforts, exploring the developmental trajectory of DCN services and architecture, focusing on key algorithms and protocols. Your contributions will be instrumental in driving technological innovations and establishing critical technical milestones.
Responsibilities
- Stay informed on leading-edge DCN technologies within 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 novel DCN techniques.
- Engage in diverse topics such as network topology, traffic control technology, software-defined networks, optical and electrical hybrid networks, and in-network computing.
- Optimize the performance and efficiency of parallel computing systems, particularly large-scale AI clusters, focusing on the integration of network, computing, and storage systems.
Requirements
- Doctoral Degree in Computer Science, Electronic Engineering, Artificial Intelligence, Automation, Mathematics, Physics, or related fields.
- Candidates with experience in both industry and academia are preferred.
- Familiarity with data center networks and high-performance interconnection technology systems.
- Understanding of performance or efficiency optimization of parallel computing systems.
- Experience in large-scale distributed deep learning, along with knowledge of relevant infrastructure and key technologies.
- Self-motivated, ambitious, possessing strong teamwork and cross-cultural communication skills.
More Specifically
- Research experience in modern network technology or high-performance interconnections with an understanding of cloud DCN technologies, including network architecture and resource pooling techniques.
- Experience in performance or efficiency optimization for parallel computing systems, with capabilities in distributed machine/deep learning, distributed storage, and high-performance computing systems.
- Familiarity with large-scale training/inference infrastructure and key technologies, providing systematic insights on enhancing system scale and efficiency (optional).
- Thorough knowledge of network theory and optimization algorithms, especially in DCN service assurance technology, network congestion control, traffic scheduling/forecasting, TCP/RDMA acceleration, and low-latency assurance.
- Experience conducting innovative research in evolving data center architectures, new topologies, protocols, hardware, and algorithms, including CXL bus protocol extensions, non-CLOS topologies, GPU cluster interconnections, and DPU offloading.
Apply online using the form below. Please note that only applications matching the job profile will be considered.