Computational EM Engineer for High Speed Interconnects

17 ago - Vimodrone
Huawei Italy Research Centers

Company InfoThe Central Hardware Engineering Institute (CHEI) at Huawei Milan Research Center develops advanced computational methods and engineering technologies for next-generation ICT systems. La preghiamo di verificare di possedere il livello di esperienza e le qualifiche adeguate leggendo la panoramica completa di questa possibilità qui sotto. Our work combines computational electromagnetics, numerical algorithms, software engineering, and high-speed interconnect design to create reusable methodologies that accelerate hardware development across multiple product generations.We are looking for engineers who enjoy solving challenging computational and physical problems and transforming advanced numerical techniques into practical engineering tools used by hardware development teams worldwide.Role OverviewYou will develop computational methodologies, electromagnetic models, and engineering software for the analysis and optimization of high-speed interconnect systems. Working at the intersection of computational EM, numerical methods, and software engineering,



you will create reusable workflows that enable faster, more reliable hardware design while collaborating closely with signal integrity and hardware engineers.The role is ideal for candidates with strong computational and electromagnetic fundamentals who enjoy building robust engineering methodologies rather than performing one-off analyses.ResponsibilitiesDevelop computational electromagnetic methodologies for the modeling and optimization of high-speed interconnect systems.Design numerical algorithms and reusable software tools that improve engineering productivity, reproducibility, and scalability.Build physics-based models, reduced-order models, optimization workflows, and automation pipelines for complex engineering problems.Validate simulation results, assess numerical accuracy and convergence, and distinguish physical effects from numerical artifacts.Apply computational methods to practical engineering

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