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KLA Field Applications Engineer 
United States, Oregon, Hillsboro 
468873424

31.07.2024
Base Pay Range: $78,100.00 - $132,800.00 Annually Primary Location:


Qualifications

Responsibilities
  • Responsible for providing technical applications support for the development and implementation of KLA products in customer fabrication facilities
  • Makes presentations on all aspects of products
  • Assists sales staff in assessing potential application of company products to meet customer technical requirements and preparing detailed product specifications
  • Implements detailed customer installation plans
  • Provides support in training customers and sharing technical information on specific applications
  • Solves complex problems where analysis of situations or data requires an in depth evaluation, design of experiments, and communication between customers and specialists
  • Exercises judgment within broadly defined practices and policies in selecting methods, techniques, and evaluation criterion for obtaining results
Qualifications
  • MS / Ph.D. preferred in Physics, Chemistry, Engineering, Optics, Material Science or a related field.
  • Has experience in the semiconductor fabrication industry, or equivalent experience
  • Is well organized and professional with strong project management skills
  • Shows persistence and dedication to understanding and solving critical customer problems
  • Has strong communication skills, with experience presenting technical content to a broad audience
  • Strong analytical problem solving skills

Position also requires completion of a university-level course / research-project / internship / thesis, or 6+ months of experience in most of the following:

  • Experience in cleanroom environments
  • Semiconductor device application and characterization
  • Optics (Microscopy, Lasers, SEM, etc.)
  • Computer operating systems, networking
  • Basic programming skills (Matlab, Labview, Python, or equivalent)
  • Data analysis tools (Excel, JMP, minitab, Igor, Origin or equivalent)
  • Deep learning

Master's Level Degree and 0 years related work experience; Bachelor's Level Degree and related work experience of 2 years