Huawei Research Center Germany
Intern/Master Student — DC-OXC Traffic Scheduling for Super-Node Architecture
München, DE · Intern · Internship
Sponsorship not specifiedDetected 1 day ago
Node.jsAlgorithmsDeep LearningComputer VisionSignal ProcessingResearchCommunication
About the role
- Solid understanding of deep learning fundamentals, including neural network architectures, training/inference pipelines, and GPU computation.
Nice to have
- 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.
- 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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