Applied Computational EM Engineer — High-Speed Interconnects

Huawei Technologies Italia

San Giuseppe

In loco

EUR 60.000 - 75.000

Tempo pieno

14 giorni+

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Descrizione del lavoro

Huawei Technologies Italia S.r.l. (CHEI at Huawei Milan Research Center) seeks engineers to turn advanced numerical techniques into practical software for high-speed interconnect design.

You will develop computational EM models, engineer reusable workflows, and collaborate with hardware teams worldwide to accelerate hardware development. The role emphasizes building robust methodologies rather than one-off analyses, requiring a strong foundation in computational science and electromagnetics,

Competenze

  • Advanced degree in Electrical Engineering, Physics, Applied Mathematics, Computational Science or related STEM field.
  • 5+ years of industrial or research experience in computational electromagnetics or related areas.
  • Experience developing engineering software, numerical algorithms, or automation workflows.

Mansioni

  • Develop computational electromagnetic methodologies for high-speed interconnect systems.
  • Design numerical algorithms and reusable software tools to improve productivity, reproducibility, and scalability.
  • Build physics-based models, reduced-order models, and optimization workflows for complex problems.
  • Validate simulation results and assess numerical accuracy and convergence.

Conoscenze

Computational electromagnetics
Numerical methods
Scientific computing
Python
C++
MATLAB
English communication

Formazione

Advanced degree in STEM
5+ years experience

Strumenti

HFSS
CST
COMSOL
ADS

Descrizione del lavoro

Huawei Technologies Italia S.r.l. (CHEI at Huawei Milan Research Center) seeks engineers to turn advanced numerical techniques into practical software for high-speed interconnect design.

You will develop computational EM models, engineer reusable workflows, and collaborate with hardware teams worldwide to accelerate hardware development. The role emphasizes building robust methodologies rather than one-off analyses, requiring a strong foundation in computational science and electromagnetics,

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