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 and strengths across the carrier networks, enterprise, consumer, and cloud computing fields. Our products and solutions have been deployed in over 170 countries serving more than one third of the world’s population.

With 28 sites across Europe and 2000 researchers, Huawei’s European Research Institute (ERI) oversees fundamental and applied technology research, academic research cooperation projects, and strategic technical planning across our network of European R&D facilities. Huawei’s ERI includes the Zurich Research Centre (ZRC), located in Zurich, Switzerland. A major element of ZRC is a new research laboratory focused on research in the area of Networking.

The research work of the lab will be carried out not only by Huawei’s internal research staff but also by our academic research partners in universities across Europe. The lab will provide an “open research environment” where academics will be encouraged to visit and work on fundamental long-term research alongside Huawei staff in an environment that, like the best universities and research institutes, is open and conducive to such scientific work.

Responsibilities:

• Conduct innovative research in applying machine learning to enhance networking systems and protocols between computing devices (e.g., CPU, GPU), memory, and peripherals.
• Design, develop, and evaluate machine learning algorithms to manage system resources and optimize network performance, latency, and power.
• Innovate and develop new technologies in the field of machine learning for networking systems.
• Produce and present research papers at top-tier conferences, and write white papers on current developments and future research directions.
• Establish and maintain research partnerships with leading universities and professors specializing in networking systems, computer architecture, and high-performance computing.
• Mentor and guide junior researchers and interns.

Requirements:

• PhD or MSc in Computer Science, Electrical Engineering, or related fields.
• Specialization in Machine Learning and background in Computer Architecture is a must.
• Proven track record of publishing research papers in prestigious conferences or high-impact journals in the intersection of machine learning and networking systems, high-performance computing, or computer architecture.
• Proficiency in programming languages such as Python, TensorFlow, and PyTorch.
• Research experience and/or strong knowledge in several of the following areas:
  • Machine learning model for workload characterization
  • Distributed machine learning, DNN, and LLM
  • Memory sub-system arrangement
  • Network architecture and networking systems in datacenter servers
  • High-performance computing system architecture
• Excellent intercultural communication, coordination, presentation, and reporting skills, with the ability to work effectively in a research environment.
• Strong interpersonal skills, with a collaborative spirit and the ability to work independently.
• Creativity and the ability to think outside the box to develop innovative solutions.

What we offer

• Highly competitive salary and benefits package.
• Opportunity to lead cutting-edge projects in one of the most dynamic sectors of the tech industry.
• Budget for conferences, courses, and connection opportunities to the top-tier professors from ETH, EPFL etc.
• Access to cutting-edge tools and technologies.