Senior Research Engineer - Ethernet PHY & High-Speed...

The Applied Network Technology Lab (ANTL) at Huawei's Heisenberg Research Center in Munich is shaping the future of Ethernet and high-speed interconnect technologies for next-generation AI and data center networks.

As data rates continue to scale beyond 100Gb/s per lane, traditional assumptions around physical layer design are increasingly challenged by signal integrity limitations, nonlinear effects and system complexity.

We are looking for an experienced researcher who is excited by solving these problems through advanced system modelling, signal processing and architectural innovation.

This is a research-driven role with direct influence on future technology directions, system architectures and industry standards.

You'll work closely with international research teams, collaborate with leading universities and contribute to the technologies that will underpin the next generation of high-performance networks.

Join us as a

Senior Research Engineer – Ethernet PHY & High-Speed Interconnect Research (m/f/d)

Your mission

• Develop advanced behavioral and nonlinear models of PHY components and systems to accurately capture real-world impairments and improve system-level prediction capabilities.

• Explore and evaluate novel signal processing and compensation techniques informed by realistic system behavior.

• Generate insights into PHY design by identifying dominant impairments and quantifying their impact under realistic operating conditions.

• Propose and evaluate solution concepts at both architecture and block level to address system limitations and performance bottlenecks.

• Collaborate with multidisciplinary teams to align network innovations with hardware development for future Ethernet solutions.

• Support and influence system architecture and standards discussions through deep, data-driven analysis of complex PHY behavior.

• Contribute to technical positions and industry standards activities, including IEEE and UEC.

• Engage with the global research community through publications, leading conferences and collaborations with universities and research institutes.

Your profile

Essential

• Master's degree and/or PhD in Electrical Engineering, Electronic Engineering, Computer Science or a related discipline.

• Strong background in signal processing, nonlinear systems and system modelling.

• Experience with high-speed communication systems, Ethernet PHY and/or SerDes technologies.

• Experience developing behavioral or system-level models using Python, MATLAB or similar environments.

• Ability to analyze complex technical challenges and translate insights into architectural recommendations and practical solutions.

• Full professional proficiency in English, both written and spoken.

Preferred

• Experience with ≥100Gb/s per lane systems.

• Familiarity with high-speed data converters and their impact on system performance.

• Experience in system identification and data-driven modelling approaches.

• Familiarity with industry standards activities, particularly IEEE Ethernet.

• German and/or Chinese language skills.

Some international travel will be required as part of the role.

Why join us?

• Work on long-term research challenges that will shape future Ethernet technologies.

• Influence system architectures and industry standards.

• Collaborate with leading universities, research institutes and global experts.

• Operate at the intersection of research, innovation and real-world technology impact.

Join an international team with the freedom to explore new ideas and challenge conventional approaches.

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

Huawei is a leading global information and communications technology (ICT) solutions provider. Our ICT solutions, products and services are used in more than 170 countries and regions, serving over one-third of the world's population. With 197,000 employees, Huawei is committed to develop the future information society and build a Better Connected World.