Senior Process Engineer, Deposition & Surface Engineering

LAM RESEARCH Corporation

Tualatin (OR)

On-site

USD 90,000 - 130,000

Full time

14 days+
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Benefits offered by this job

On-site Flex
Virtual Flex
Hybrid work model

Job summary

Lam Research Corporation is seeking a Process Engineer to drive development of deposition processes and related technologies for cutting-edge semiconductor equipment. You will define processing methods, optimize yields, and lead data-driven improvements across teams.

The role requires advanced degrees in materials science or related fields and hands-on experience with analytical techniques, DOE/ SPC, and MATLAB/Python. Hybrid/work-from-home flexibility is available for suitable roles.

Qualifications

  • Master’s degree in Materials Science, Chemical Engineering, Chemistry or Physics or related field with 6+ years of experience; or a PhD with 3+ years’ experience.
  • Familiarity with laboratory work and semiconductor equipment, surface preparation and analytical techniques.
  • Strong understanding of SPC and DOE; experience with statistical analysis and problem solving.
  • Proficiency in MATLAB or Python for scientific computing.

Responsibilities

  • Conduct process engineering R&D and evaluation for semiconductor equipment and systems.
  • Review and enhance processing techniques used in fabrication.
  • Develop and sustain new processes to reduce costs and increase yields.
  • Analyze test data and define process specifications and limits.
  • Collaborate cross-functionally to plan, collect data, and report results for customer demos.

Skills

Materials science
Chemical engineering
Chemistry
Physics
DOE
SPC
Analytical techniques

Education

Master's degree in Materials Science / Chemical Engineering / Chemistry / Physics
PhD in related field

Tools

MATLAB
Python

Job description

Lam Research Corporation is seeking a Process Engineer to drive development of deposition processes and related technologies for cutting-edge semiconductor equipment. You will define processing methods, optimize yields, and lead data-driven improvements across teams.

The role requires advanced degrees in materials science or related fields and hands-on experience with analytical techniques, DOE/ SPC, and MATLAB/Python. Hybrid/work-from-home flexibility is available for suitable roles.

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