Senior Researcher / Senior Researcheress

Huawei Technologies Switzerland AG - January 5, 2026

About Huawei

Huawei is a leading global information and communications technology (ICT) solutions provider. Through our unwavering commitment to customer-centric innovation and strong partnerships, we have established robust end-to-end capabilities across carrier networks, enterprise, consumer, and cloud computing fields. Our products and solutions are deployed in over 170 countries, serving more than one-third of the world's population.

European Research Institute

With 28 sites across Europe and 2000 researchers, Huawei’s European Research Institute (ERI) oversees fundamental and applied technology research, academic 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 dedicated to exploring the first generation of composable-native computing infrastructure, focusing on the unification of scale-up and scale-out fabrics.

Research Environment

The research conducted in this laboratory will involve Huawei’s internal research staff and our academic partners from universities across Europe. The lab offers an “open research environment” where academics will be encouraged to collaborate on fundamental long-term research alongside Huawei staff, fostering a setting conducive to scientific advancement.

Responsibilities

  • Conduct cutting-edge research to develop the first generation of composable-native computer systems, allowing maximum elasticity and independent scaling of compute, memory, and I/O.
  • Integrate vertical applications, parallel programming, computer networks, 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 a related field.
  • Strong background in Computer Interconnects, Computer Architecture, and High-Performance Computing (HPC).
  • 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, including RoCE, Ultra-Ethernet, or supercomputer clusters like 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.
    • Deep Learning, Recommenders, and Generative AI, hardware-software co-design, or cloud computing knowledge 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 innovative projects in one of the most dynamic sectors of the tech industry.
  • Budget for conferences, courses, and networking opportunities with top-tier professors from ETH, EPFL, and more.
  • Access to cutting-edge tools and technologies.

Application Process

To join our team and contribute to advancements in the technology field, apply online using the form below. Please note that only applications matching the job profile will be considered.

Location : Dübendorf
Country : Switzerland

Application Form

Please enter your information in the following form and attach your resume (CV)

Only pdf, Word, or OpenOffice file. Maximum file size: 3 MB.