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Systems Engineer (m / w / d)

Systems Engineer (m / w / d)

2140 K-T GMBHWeilburg, Germany
Vollzeit
Mehr anzeigenZuletzt aktualisiert: vor über 30 Tagen
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Systems Engineer (m / w / d)

Systems Engineer (m / w / d)

2140 K-T GMBHWeilburg, Germany
Vor 30+ Tagen
Anstellungsart
  • Vollzeit
Stellenbeschreibung

Description

  • Analysis of required solutions (problem definitions) of a SEM system ->

definition of application-related system requirements

  • System characterization, including error budget analysis, concept development and elaboration of optimized system properties / solutions § Continuous product enhancement of SEM based metrology tool
  • Key contact for system related questions for all disciplines – design, electronics development, S / W and application development
  • Support customer escalations by driving root cause analysis using 7-step / 8D at customer sites worldwide (Fly and fix)
  • Good command of English, both, spoken and written § Analytical approach to solve problems / technical challenges § Ability to work in an international team § Willingness to travel (up to 50%)
  • Minimum Qualifications

  • Higher education, physicist or engineer with specialization in electron beam microscopy
  • Start as young professional (NCG) possible, 2-3 years professional experience or secondary professional training in this area preferred
  • Experiences : § Practical experience in working with / in the characterization of electron beam systems as a whole (system understanding) - source, electron optics (charged particle optics), detectors, probe handling, vacuum systems
  • Imaging and image processing of SEM images
  • Analytical methods / techniques
  • Measurement technologies in semiconductor industry
  • Knowledge : Calibration and optimization processes of SEM systems – both, function and application
  • Complex relationships of determining parameters of image generation
  • Image processing and image analysis and their basic algorithms
  • Optical measuring processes and methods (e.g. interferometry)
  • Analytical theory of errors and error propagation
  • Statistical methods to assess data and results
  • Advantages and disadvantages of existing commercial systems
  • Tools : 1. Matlab / Python 2. Higher level script languages