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MEMS Design Engineer

Sofant Technologies

Sofant Technologies

Design
Edinburgh, UK
Posted 6+ months ago

Role Summary

The MEMS Design Engineer will form a key part of the MEMS development team, focussing on the design, simulation and characterisation of RF MEMS devices. Reporting to the MEMS Device Engineering Manager and working within a growing team, the MEMS Design Engineer will have the opportunity to be involved in all aspects of the MEMS life-cycle, from early-stage concept development to final design review, device characterisation, model validation and failure analysis.

Responsibilities

The core responsibilities include:

  • To develop, run and maintain an electromechanical FEM model library of RF MEMS devices.

  • Working closely with the RF design team to optimise MEMS device design to achieve high RF performance at the chip level, whilst maintaining a robust and reliable MEMS device.

  • To work with MEMS process and packaging engineers to ensure manufacturability and yield requirements are met.

  • Performing critical review of MEMS design, process and layout changes.

Experience and requirements

Required Skills

  • Strong degree in Mechanical Engineering, Electrical Engineering, Physics or equivalent. A master’s, PhD or equivalent experience in MEMS or a related discipline would be advantageous.

  • Experience in electromechanical design, simulation and layout of MEMS devices.

  • Demonstrated proficiency in Comsol Multiphysics or similar coupled-physics FEA software.

  • Experience in characterisation and test of MEMS devices.

  • Understanding of MEMS reliability testing and failure analysis techniques.

  • Knowledge of wafer-level MEMS fabrication and process development.

  • Detail-oriented with an ability to perform structured review or MEMS designs and layouts.

  • Self-starter, able to work on own initiative.

  • A strategic thinker with broad problem-solving skills.

  • Positive attitude with a willingness to get involved.

  • Strong communication skills, able to engage with stakeholders on all levels.

Desirable

  • Experience using JMP or similar statistical software for analysis of high-volume production data.

  • Familiarity with Python and/or Octave/Matlab for data processing and analysis.