Senior Researcher: Next-generation Computer Fabrics for General Purpose and AI

Senior Researcher: Next-generation Computer Fabrics for General Purpose and AI 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 first generation of composable-native computing infrastructure with the unification of scale-up and scale-out fabrics taking center stage. 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 to build the first‑generation of composable‑native computer systems, allowing maximum elasticity and independent scaling of compute, memory, and IO, with the vertical integration of applications, parallel programming, computer networks and interconnects, and computer architecture. Develop and prototype new architectural features and improvements. 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 in Computer Science, Electrical Engineering, or related field. Strong background in Computer Interconnects, Computer Architecture, and High‑Performance Computing (HPC) is a must. Proven track record of publishing research papers in top‑tier conferences or journals. Creativity and the ability to think outside the box to develop innovative technologies. Research experience and/or strong knowledge in several of the following areas: Parallel programming models such as MPI, OpenSHEM, or Collectives. Network stack, architecture, and systems in datacenters such as RoCE or Ultra‑Ethernet, or supercomputer clusters such as Infiniband, Slingshot or Gemini/Aries. Scale‑up fabrics such as PCIe, CXL, NVLink, UPI, or IF. RPC protocols and stacks such as gRPC or Thrift. Knowledge of Deep Learning, Recommenders, and Generative AI, hardware‑software co‑design, or cloud computing is a plus. 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. 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. Job Details Work location 8600 Dübendorf (ZH) Workload 100% Employment start Immediately Employment duration Permanent Qualification Skilled Work experience More than 3 years Education Doctorate from a university or equivalent Language Skills English Orally: Very good knowledge; Written: Very good knowledge Application Method By online Online form #J-18808-Ljbffr