Senior Researcher - Disaggregated Datacenter Network Virtualization (m / f / d)

Stellenbeschreibung:

Huawei's vision is to enrich life through communication. We are a fast growing and leading global information and communications technology (ICT) solutions provider.

Driven by a commitment to operations, ongoing innovation, and open collaboration, we have established a competitive ICT portfolio of end-to-end solutions in Telecom and enterprise networks, Devices and Cloud technology and services.

Huawei is active in more than 170 countries and has over 197,000 employees of which more than 80,000 are engaged in research and development (R&D). With us you have the opportunity to work in a dynamic, multinational environment with more than 150 nationalities worldwide.

Huawei's Munich Research Center is responsible for advanced technology research, architectural development, design and strategic engineering of our products.

The size of our cloud platform is gaining momentum, and it is already planet scale. Huawei Cloud is one of the largest and fastest-growing platforms in the world. It has strong presence with over 40 availability zones located across 4 continents and 23 geographical regions, covering locations such as Germany, Hong Kong, South Africa, or Brazil, among others.

Join us as

Senior Researcher - Disaggregated Datacenter Network Virtualization

(m / f / d)

We are looking for a motivated and ambitious team memberto join our research team focused on network virtualization for disaggregated datacenter infrastructures . This is an excellent opportunity for recent PhD graduates or postdoctoral researchers who are passionate about cloud-scale computing, systems architecture, and cutting-edge virtualization technologies.

Your mission

  • Conduct research on next-generation network virtualization techniques that enable scalable, elastic interconnects across disaggregated compute, memory, and storage components.
  • Design and prototype experimental disaggregated network virtualization frameworks for serverless and cloud-native environments.
  • Contribute to technical publications, patents, and open-source projects.
  • Collaborate with senior researchers, engineers, and academic partners on high-impact research topics.

Your areas of expertise

  • PhD in Computer Science, Computer Engineering, or a related field , with a focus in computer architecture, networking, or virtualization.
  • Solid understanding and academic experience in one or more of the following :
  • Datacenter networks, software‑defined networking (SDN)
  • Virtualization technologies such as VirtIO, OVS, KVM / Qemu
  • High-performance IO (e.g., RDMA, DPDK, SmartNICs)
  • TCP / IP protocol stack and system-level programming
  • Strong problem-solving skills, ability to work independently and collaboratively in a research-driven environment.
  • Demonstrated potential through research publications, open-source contributions, or project experience.
  • Familiarity with CXL , PCIe-based disaggregation , or Ultra Ethernet concepts is a plus.

By applying to this position, you agree with our Recruitment Privacy Statement. You can read in full our privacy policy here .

Your rewards of working here

  • Our culture is characterized by innovative power and team spirit as well as the intensive exchange of knowledge and experience within our global network.
  • We offer healthy meals ranging from traditional Chinese to western delicacies in our famous company canteen.
  • To keep your development ongoing, you will find a broad range of training opportunities. Many online and face-to-face training programs incl. language courses in German and Mandarin.
  • Our diverse and welcoming environment is shaped by different backgrounds and around 40 individual nationalities.
  • Self-responsible work in a competent, motivated and constantly growing team.

Please send your application and CV (incl. cover letter and reference letters) in English.

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NOTE / HINWEIS:
EnglishEN: Please refer to Fuchsjobs for the source of your application
DeutschDE: Bitte erwähne Fuchsjobs, als Quelle Deiner Bewerbung

Stelleninformationen

  • Veröffentlichungsdatum:

    12 Dez 2025
  • Standort:

    Dresden
  • Typ:

    Vollzeit
  • Arbeitsmodell:

    Vor Ort
  • Kategorie:

  • Erfahrung:

    2+ years
  • Arbeitsverhältnis:

    Angestellt

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