Intern/Master Student — DC-OXC Traffic Scheduling for Super-Node Architecture

**Huawei Heisenberg Research Center (Munich)** is responsible for advanced technology research, architectural development, design and strategic engineering of our products.

**The Optical Technology Laboratory** in Munich researches and develops signal processing, components, systems, and optical switching for fixed access, data center networks, metro and long-haul optical networks. The department engages in local research and collaborates with academic and industrial partners from the European ecosystem.

Join us as a

**Intern/Master Thesis Student — DC-OXC Traffic Scheduling for Super-Node Architecture** **(m/f/d)**

**Your mission**

• Study existing approaches to MoE traffic scheduling, collective communication optimization, and OCS-based interconnect architectures, build a clear understanding of how load imbalance in MoE inference leads to Alltoallv congestion and long-tail latency.
• Research and implement techniques to transform random, dynamic sparse MoE traffic into deterministic, uniform traffic patterns that OCS can efficiently handle.
• Investigate collective communication strategies that eliminate the need for frequent topology reconfiguration, leveraging optical path bandwidth to remove local hotspots and long-tail effects
• Design and prototype load-aware routing algorithms that intelligently distribute non-uniform Token traffic across limited OCS "narrow pipes.
• Develop software-level traffic smoothing mechanisms to eliminate physical-layer congestion jitter, targeting end-to-end inference latency equivalent to 100% load-balanced scenarios

**Your areas of expertise**

• Currently pursuing a Bachelor's, Master's degree in Computer Science, Computer Engineering, Electronic Engineering, Applied Mathematics, or a related field.
• Solid understanding of **deep learning fundamentals** , including neural network architectures, training/inference pipelines, and GPU computation.
• Strong background in **graph theory, combinatorial optimization, linear/integer programming, or queuing theory**.
• Familiarity with **multi-commodity flow optimization, network flow problems, or convex optimization** is a strong plus.
• Understanding of **network interconnect technologies** , including OCS (Optical Circuit Switching), InfiniBand, RoCE, or similar high-performance interconnects is a strong plus.
• Basic understanding of **MoE (Mixture of Experts)** models — how Token routing works and why it creates non-uniform communication patterns. Deep expertise is not expected, but conceptual familiarity is required
• Ability to work independently and collaboratively in a research-oriented environment
• Fluent in written and spoken English language

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**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.

**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 208,000 employees, Huawei is committed to develop the future information society and build a Better Connected World.