Senior Researcher: Disaggregated Datacenter Network Virtualization
📍 Job Overview
- Job Title: Senior Researcher: Disaggregated Datacenter Network Virtualization
- Company: Huawei Research Center Germany & Austria
- Location: Munich, Bavaria, Germany & Dresden, Saxony, Germany
- Job Type: Full-Time
- Category: Research & Development
- Date Posted: July 9, 2025
- Experience Level: 0-2 years (PhD or recent graduate)
- Remote Status: On-site
🚀 Role Summary
- Conduct cutting-edge research on next-generation network virtualization techniques for disaggregated datacenter infrastructures.
- Design and prototype experimental network virtualization frameworks for serverless and cloud-native environments.
- Collaborate with senior researchers, engineers, and academic partners on high-impact research topics.
- Publish technical papers, patents, and contribute to open-source projects.
📝 Enhancement Note: This role offers an excellent opportunity for recent PhD graduates or postdoctoral researchers passionate about cloud-scale computing, systems architecture, and virtualization technologies to work on innovative, high-impact research projects in a collaborative environment.
💻 Primary Responsibilities
- Conduct research on next-generation network virtualization techniques for disaggregated datacenter infrastructures.
- Design and prototype experimental network virtualization frameworks for serverless and cloud-native environments.
- Collaborate with senior researchers, engineers, and academic partners on high-impact research topics.
- Publish technical papers, patents, and contribute to open-source projects.
- Contribute to the development of Huawei Cloud's planet-scale platform.
📝 Enhancement Note: The primary focus of this role is on conducting innovative research and collaborating with cross-functional teams to develop cutting-edge network virtualization solutions for disaggregated datacenter environments.
🎓 Skills & Qualifications
Education: PhD in Computer Science, Computer Engineering, or a related field, with a focus in computer architecture, networking, or virtualization.
Experience: 0-2 years (PhD or recent graduate)
Required Skills:
- Solid understanding of datacenter networks, software-defined networking (SDN), and virtualization technologies such as VirtIO, OVS, KVM/Qemu.
- Strong problem-solving skills and 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.
Preferred Skills:
- Experience with high-performance IO (e.g., RDMA, DPDK, SmartNICs) and TCP/IP protocol stack.
- Proficiency in system-level programming and scripting languages (e.g., Python, C, C++).
📝 Enhancement Note: While the role requires a PhD or recent graduate with a strong background in computer architecture, networking, or virtualization, candidates with relevant experience and a proven track record in research and development will also be considered.
📊 Web Portfolio & Project Requirements
Portfolio Essentials:
- A strong portfolio of research publications, patents, and open-source contributions demonstrating your expertise in network virtualization and related fields.
- Examples of experimental network virtualization frameworks or projects showcasing your technical skills and problem-solving abilities.
Technical Documentation:
- Well-documented research projects, including methodology, results, and conclusions.
- Clear and concise technical writing samples, such as research papers or project reports.
📝 Enhancement Note: As this role focuses on research and development, a strong portfolio of published work, patents, and open-source contributions will be crucial for demonstrating your qualifications and potential impact on the team's goals.
💵 Compensation & Benefits
Salary Range: €55,000 - €70,000 per year (based on experience and qualifications, including a starting salary for recent PhD graduates)
Benefits:
- Healthy meals ranging from traditional Chinese to western delicacies in the company canteen.
- Broad range of training opportunities, including language courses in German and Mandarin.
- Diverse and welcoming environment with around 40 individual nationalities represented.
- Self-responsible work in a competent, motivated, and constantly growing team.
Working Hours: Full-time, with flexible working hours and a focus on results and innovation.
📝 Enhancement Note: While the salary range is provided, it is essential to note that the final offer will depend on the candidate's qualifications, experience, and the company's internal salary structure.
🎯 Team & Company Context
🏢 Company Culture
Industry: Information and Communications Technology (ICT) solutions provider, focusing on Telecom and enterprise networks, devices, and cloud technology and services.
Company Size: Large (197,000 employees worldwide)
Founded: 1987
Team Structure:
- The Munich Research Center is responsible for advanced technology research, architectural development, design, and strategic engineering of Huawei's products.
- The team focuses on network virtualization for disaggregated datacenter infrastructures, collaborating with senior researchers, engineers, and academic partners.
Development Methodology:
- Agile research and development processes, with a focus on innovation, collaboration, and high-impact research projects.
- Regular team meetings, code reviews, and progress updates to ensure efficient collaboration and knowledge sharing.
Company Website: https://www.huawei.com/
📝 Enhancement Note: Huawei offers a dynamic and innovative work environment, with a strong focus on research and development, collaboration, and continuous learning. The company's global presence and diverse team provide ample opportunities for growth and professional development.
📈 Career & Growth Analysis
Researcher Career Level: This role is suitable for recent PhD graduates or postdoctoral researchers seeking to establish their careers in cutting-edge research and development. The position offers an excellent opportunity to work on high-impact projects and collaborate with senior researchers and engineers.
Reporting Structure: The Senior Researcher will report directly to the Research Manager or a similar role within the Munich Research Center.
Technical Impact: The role involves conducting research on next-generation network virtualization techniques and designing experimental frameworks for cloud-native environments. The work will directly impact Huawei Cloud's planet-scale platform and contribute to the company's overall success in the ICT industry.
Growth Opportunities:
- Opportunities to publish technical papers, patents, and contribute to open-source projects, enhancing your professional reputation and visibility in the research community.
- Potential to take on leadership roles within the research team, mentoring junior researchers, and driving high-impact research projects.
- Access to a broad range of training opportunities, including language courses and technical workshops, to support your professional development and growth.
📝 Enhancement Note: This role offers excellent growth opportunities for early-career researchers, with the potential to make a significant impact on Huawei's research and development efforts and contribute to the company's success in the ICT industry.
🌐 Work Environment
Office Type: Modern, collaborative research environment with state-of-the-art facilities and resources.
Office Location(s): Munich, Bavaria, Germany & Dresden, Saxony, Germany
Workspace Context:
- The Munich Research Center offers a collaborative workspace with access to cutting-edge technology and resources, supporting innovative research and development efforts.
- The team works closely together, fostering a culture of knowledge sharing, collaboration, and continuous learning.
- The office provides a diverse and inclusive environment, with around 40 individual nationalities represented.
Work Schedule: Full-time, with flexible working hours and a focus on results and innovation. The work schedule may vary depending on project requirements and team needs.
📝 Enhancement Note: The work environment at Huawei's Munich Research Center is designed to foster collaboration, innovation, and continuous learning, providing an ideal setting for early-career researchers to thrive and make a significant impact on the company's success.
📄 Application & Technical Interview Process
Interview Process:
- Technical Phone Screen: A brief phone or video call to discuss your research background, experience, and motivation for the role (30-45 minutes).
- On-site Technical Interview: A full-day on-site interview, including technical presentations, problem-solving exercises, and discussions with senior researchers and engineers (4-6 hours).
- Final Decision: A final decision will be made based on your performance throughout the interview process and your fit with the team's goals and culture.
Portfolio Review Tips:
- Prepare a strong portfolio of research publications, patents, and open-source contributions demonstrating your expertise in network virtualization and related fields.
- Highlight your most impactful research projects and explain the methodologies, results, and conclusions in clear and concise terms.
- Be prepared to discuss your portfolio in detail and answer questions about your research approach, findings, and potential applications.
Technical Challenge Preparation:
- Brush up on your knowledge of network virtualization techniques, including software-defined networking (SDN), virtualization technologies (e.g., VirtIO, OVS, KVM/Qemu), and high-performance IO (e.g., RDMA, DPDK, SmartNICs).
- Familiarize yourself with the latest research and trends in network virtualization and disaggregated datacenter infrastructures.
- Practice explaining complex technical concepts clearly and concisely, and be prepared to discuss your problem-solving approach and thought process.
ATS Keywords: Network Virtualization, Disaggregated Datacenter, Research, Cloud-Native, Experimental Frameworks, Collaboration, Publications, Patents, Open-Source, Problem-Solving, Innovation, ICT, Huawei, Munich Research Center, Dresden
📝 Enhancement Note: The interview process for this role is designed to assess your technical skills, research experience, and cultural fit within the team. By preparing thoroughly and showcasing your expertise and passion for network virtualization and research, you will increase your chances of success in the interview process.
🛠 Technology Stack & Web Infrastructure
Research Technologies:
- Network virtualization techniques, including software-defined networking (SDN), virtualization technologies (e.g., VirtIO, OVS, KVM/Qemu), and high-performance IO (e.g., RDMA, DPDK, SmartNICs).
- Familiarity with CXL, PCIe-based disaggregation, or Ultra Ethernet concepts is a plus.
- Proficiency in system-level programming and scripting languages (e.g., Python, C, C++).
Infrastructure Tools:
- Access to state-of-the-art research facilities, including high-performance computing (HPC) resources, virtualization platforms, and cloud-based infrastructure.
- Collaboration tools, such as version control systems (e.g., Git), project management platforms (e.g., Jira), and communication tools (e.g., Slack, Microsoft Teams).
📝 Enhancement Note: The technology stack for this role is focused on cutting-edge research and development in network virtualization and related fields. Familiarity with the latest research and trends in these areas, as well as proficiency in relevant programming languages and tools, will be crucial for success in the role.
👥 Team Culture & Values
Research Values:
- Innovation: Huawei values innovation and encourages its researchers to push the boundaries of existing technologies and explore new, cutting-edge approaches.
- Collaboration: The Munich Research Center fosters a culture of collaboration, with regular team meetings, code reviews, and progress updates to ensure efficient knowledge sharing and project success.
- Continuous Learning: Huawei provides a broad range of training opportunities, including language courses and technical workshops, to support the professional development and growth of its researchers.
- Impact: The team focuses on conducting high-impact research that contributes to Huawei's overall success in the ICT industry and makes a meaningful difference in the lives of its customers.
Collaboration Style:
- The Munich Research Center encourages a collaborative and inclusive work environment, with regular team meetings, code reviews, and progress updates to ensure efficient knowledge sharing and project success.
- The team works closely together, fostering a culture of knowledge sharing, collaboration, and continuous learning.
- Researchers are encouraged to contribute to open-source projects and collaborate with academic partners to advance the field of network virtualization and related technologies.
📝 Enhancement Note: The team culture at Huawei's Munich Research Center is designed to foster innovation, collaboration, and continuous learning, providing an ideal environment for early-career researchers to thrive and make a significant impact on the company's success.
⚡ Challenges & Growth Opportunities
Technical Challenges:
- Conducting research on next-generation network virtualization techniques for disaggregated datacenter infrastructures.
- Designing and prototyping experimental network virtualization frameworks for serverless and cloud-native environments.
- Collaborating with senior researchers, engineers, and academic partners on high-impact research projects.
- Publishing technical papers, patents, and contributing to open-source projects.
Learning & Development Opportunities:
- Opportunities to publish technical papers, patents, and contribute to open-source projects, enhancing your professional reputation and visibility in the research community.
- Potential to take on leadership roles within the research team, mentoring junior researchers, and driving high-impatch research projects.
- Access to a broad range of training opportunities, including language courses and technical workshops, to support your professional development and growth.
📝 Enhancement Note: This role offers numerous challenges and growth opportunities for early-career researchers, with the potential to make a significant impact on Huawei's research and development efforts and contribute to the company's success in the ICT industry.
💡 Interview Preparation
Technical Questions:
- Research Background: Can you describe your research background and experience in network virtualization and related fields? What are some of your most impactful research projects, and how have they contributed to the field?
- Technical Expertise: Can you explain the technical details of your research projects, including methodologies, results, and conclusions? How have you approached complex technical challenges, and what were the outcomes?
- Collaboration & Impact: How have you collaborated with other researchers, engineers, or academic partners in your previous roles? What was the impact of your work on the projects or organizations you were involved with?
Company & Culture Questions:
- Huawei's Research Focus: How do you see your research fitting into Huawei's overall research and development efforts, and how can you contribute to the company's success in the ICT industry?
- Team Dynamics: How do you approach working in a collaborative and inclusive research environment? What are some of your experiences with teamwork and knowledge sharing in previous roles?
- Growth & Development: What are your long-term career goals, and how do you see this role contributing to your professional development and growth within Huawei?
Portfolio Presentation Strategy:
- Prepare a strong portfolio of research publications, patents, and open-source contributions demonstrating your expertise in network virtualization and related fields.
- Highlight your most impactful research projects and explain the methodologies, results, and conclusions in clear and concise terms.
- Be prepared to discuss your portfolio in detail and answer questions about your research approach, findings, and potential applications.
📝 Enhancement Note: The interview process for this role is designed to assess your technical skills, research experience, and cultural fit within the team. By preparing thoroughly and showcasing your expertise and passion for network virtualization and research, you will increase your chances of success in the interview process.
📌 Application Steps
To apply for this Senior Researcher position in network virtualization for disaggregated datacenter infrastructures at Huawei's Munich Research Center, follow these steps:
- Prepare Your Portfolio: Gather your research publications, patents, and open-source contributions, highlighting your most impactful work in network virtualization and related fields. Ensure your portfolio is well-organized, easy to navigate, and showcases your technical skills and problem-solving abilities.
- Tailor Your Resume: Customize your resume to emphasize your research experience, technical skills, and accomplishments in network virtualization and related fields. Highlight your problem-solving abilities, collaboration skills, and potential to make a significant impact on Huawei's research and development efforts.
- Research the Company & Role: Familiarize yourself with Huawei's research focus, the Munich Research Center's team dynamics, and the specific requirements of the Senior Researcher role. Understand how your research experience and skills align with the company's goals and the team's needs.
- Prepare for the Interview: Brush up on your knowledge of network virtualization techniques, including software-defined networking (SDN), virtualization technologies (e.g., VirtIO, OVS, KVM/Qemu), and high-performance IO (e.g., RDMA, DPDK, SmartNICs). Familiarize yourself with the latest research and trends in network virtualization and disaggregated datacenter infrastructures. Practice explaining complex technical concepts clearly and concisely, and be prepared to discuss your problem-solving approach and thought process.
- Apply: Submit your application and CV (including a cover letter and reference letters) through the application link provided. Ensure your application materials are well-organized, tailored to the role, and showcase your expertise and passion for network virtualization and research.
⚠️ Important Notice: This enhanced job description includes AI-generated insights and research industry-standard assumptions. All details should be verified directly with the hiring organization before making application decisions.
Application Requirements
PhD in Computer Science or related field with expertise in computer architecture, networking, or virtualization is required. Candidates should have a solid understanding of datacenter networks and virtualization technologies, along with strong problem-solving skills.