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 researching the Next-generation Computer Architectures and Interconnects.

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 cutting-edge research in computer interconnects, computer architecture, and AI accelerators and infrastructure
• Develop and prototype new architectural features and improvements.
• Innovate and develop new technologies at the intersection of AI, computer interconnects, and computer architecture
• 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
• Mentor junior researchers and interns.

Requirements:

• PhD or MSc in Computer Science, Electrical Engineering, or related field.
• Strong background in Computer Interconnects, Computer Architecture, and AI is a must.
• Proven track record of publishing research papers in top-tier conferences or journals.
• Proficiency in programming frameworks such as PyTorch, TensorFlow, or ONNX, and heterogenous programming languages such as CUDA, ROCm, or oneAPI.
• Research experience and/or strong knowledge in several of the following areas:

Architecture of GPU, TPUs, or any other AI accelerator.

Machine Learning, Deep Learning, and Large-Language Models (LLMs).

Memory and cache sub-system arrangement.

Network architecture and networking systems in AI supercomputer clusters.

Hardware-software co-design.

• 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 technologies.

What we offer:

• Highly competitive salary
• 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.