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 robust end-to-end capabilities across carrier networks, enterprise solutions, consumer products, and cloud computing. Our technologies are deployed in over 170 countries, serving more than one-third of the world’s population.
With 28 sites across Europe and a team of 2,000 researchers, Huawei’s European Research Institute (ERI) is at the forefront of both fundamental and applied technology research. The ERI oversees academic cooperation projects and strategic technical planning within our European R&D facilities, including the Zurich Research Center (ZRC) in Zurich, Switzerland.
The research conducted at the lab will involve both Huawei’s internal research staff and our esteemed academic partners from universities across Europe. The environment fosters collaboration, enabling academics to engage in fundamental long-term research alongside Huawei staff, thereby creating a space conducive to world-leading scientific exploration.
Position Overview
To strengthen our Data Center Network Lab, we are seeking a Principal Researcher – Data Center Network. In this role, you will be instrumental in guiding the research and development direction of DCN services, architecture, and key algorithms and protocols. Your expertise will contribute to significant technological innovations and the establishment of critical technical benchmarks.
Responsibilities
- Conduct cutting-edge research on next-generation Data Center Network architectures and novel technologies.
- Collaborate with a diverse range of colleagues and stakeholders, including Huawei researchers and experts globally, Swiss and European universities, and Huawei product teams.
- Develop and prototype innovative Data Center Networking methodologies.
- Optimize performance and efficiency in parallel computing systems, particularly large-scale AI clusters, focusing on the integration of networking, computing, and storage systems.
- Identify emerging technology trends in the field of Data Center Networking.
- Scope of research includes but is not limited to network topology, traffic control technology, software-defined networks, optical and electrical hybrid networks, and in-network computing.
Requirements
- PhD in Computer Science, Electronic Engineering, Artificial Intelligence, Automation, Mathematics, Physics, or a relevant discipline.
- A minimum of 5 years of experience in Data Center Network Research, either in industry or academia.
- Proficiency in data center networks and high-performance interconnection technological systems.
- Demonstrable experience in optimizing performance or efficiency in parallel computing systems.
- Strong knowledge of large-scale distributed deep learning and familiarity with the corresponding infrastructure and key technologies.
- Excellent communication skills in English, both written and verbal.
- Able to engage effectively with multicultural teams locally and globally.
- Possess team spirit alongside the ability to work independently.
Preferred Research Experience
Candidates should have research experience and strong cross-domain knowledge in the following areas:
- Modern network technology or high-performance interconnection, cloud DCN technologies, including network architecture and resource pooling techniques.
- Performance and efficiency optimization of parallel computing systems, including research on distributed machine/deep learning, distributed storage, and high-performance computing systems.
- Infrastructure and key technologies for large-scale training/inference, with systematic thinking on improving system scale and efficiency (optional).
- Network theory and optimization algorithms, focusing on DCN business service assurance technology, network congestion control, and low-latency assurances for DCN.
- Innovative data center architectures, new topologies, protocols, and algorithms, including CXL bus protocol extensions and GPU cluster interconnections.
Apply online using the form below. Only applications matching the job profile will be considered.