Field Process Engineer II — Customer & Data Focus

Lam Research Salzburg GmbH

Phoenix (AZ)

On-site

USD 90,000 - 120,000

Full time

14 days+
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Benefits offered by this job

On-site with flexible hybrid options

Job summary

Lam Research in Phoenix, Arizona is seeking a Field Process Engineer 2 to provide process support and DOE evaluations for Lam equipment at customer sites. You will develop new processes, conduct experiments, analyze data, and prepare reports with actionable recommendations.

Collaboration with cross-functional teams and customers is essential, along with clear communication of technical concepts. Ideal candidates have a Master’s in a related field and 2+ years of experience, proficiency in data

Qualifications

  • Master’s degree in Electronics, Chemistry, Physics, Material Science, or closely related field with 2+ years experience.
  • Proficiency with data analysis software and MS Office tools.
  • Ability to work in a cleanroom environment and on-call if needed.

Responsibilities

  • Provide process support and installation of Lam equipment at customer sites.
  • Conduct DOE evaluations to characterize process windows for installations or modifications.
  • Develop new processes for small variants to existing customer applications.
  • Conduct experiments, analyze data, and generate reports with recommendations.
  • Collaborate with cross-functional teams and customers to understand needs and roadmaps.
  • Represent Lam to customers and communicate technical and marketing materials.

Skills

Data analysis tools
Communication skills
Cleanroom readiness

Education

Master’s degree in Electronics/Physics/Material Science

Tools

JMP
Minitab
Excel

Job description

Lam Research in Phoenix, Arizona is seeking a Field Process Engineer 2 to provide process support and DOE evaluations for Lam equipment at customer sites. You will develop new processes, conduct experiments, analyze data, and prepare reports with actionable recommendations.

Collaboration with cross-functional teams and customers is essential, along with clear communication of technical concepts. Ideal candidates have a Master’s in a related field and 2+ years of experience, proficiency in data

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