Semiconductor Process Modeling Engineer

Lam Research

Confirmed live yesterday High trust
Hybrid

Quick summary

Work type
Hybrid
Location
Tualatin, OR
Posted
11 days ago
Freshness
Confirmed live yesterday
Closes
Apr 13, 2027
Nearby
99+ roles within 25 mi

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Salary context

How this pay compares to similar roles

Similar $205k
$142k $277k
below market most similar roles pay here above market

This listing doesn't post a salary. Most similar roles pay $167,875–$241,750.

Based on 240 similar postings.

Employer

About Lam Research

Lam Research Corporation is a leading American supplier of wafer-fabrication equipment and services to the global semiconductor industry.

Lam Research currently has 137 open roles on FindRole.

Listed pay typically runs $114,000–$253,000 across 82 roles with salary data.

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At a glance

TL;DR · Semiconductor Process Modeling Engineer

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The Semiconductor Process Modeling Engineer joins the Office of the CTO to connect plasma science, process engineering, and predictive modeling. This role involves building, calibrating, and validating physics-based models using internal software to capture how plasma etch and deposition processes shape wafer structures. You will develop virtual twins, identify root causes for engineering challenges, and generate actionable insights to meet customer requirements. Key responsibilities include designing studies, collecting data, and collaborating with developers to translate user needs into software requirements. Required skills include expertise in physics, chemistry, materials science, and semiconductor unit-process development. Candidates must be proficient in Python for data analysis, AI tools for productivity, and potentially familiar with simulation tools like SEMulator3D, COMSOL, HPEM, CFD-ACE+, or Monte Carlo feature-scale simulators.

Skills

Python Plasma Physics Process Modeling Data Analysis Virtual Twins SEMulator3D COMSOL HPEM CFD-ACE+ Process Engineering Materials Science Chemistry AI Tools

What you'll do

  • Develop physics-based process models and virtual twins using internal modeling software.
  • Apply plasma physics and chemistry expertise to identify root causes and generate actionable insights.
  • Design studies with process engineers to collect, model, and analyze data.
  • Translate user needs into clear requirements and user stories for software developers.
  • Support software releases and train new users on modeling tools.
  • Serve as the primary point of contact for assigned applications and ensure successful adoption.

What we're looking for

  • Bachelor’s degree in physics, chemistry, chemical engineering, materials science, or a related field with 10+ years of relevant experience.
  • Master’s degree with 8+ years of relevant experience.
  • PhD with 5+ years of relevant experience.
  • Experience developing Python scripts and using Python libraries for data analysis and visualization.
  • Experience using AI tools to improve productivity.
  • Working knowledge of semiconductor unit-process development and integration.
  • Expertise in plasma physics and the operation of plasma-based deposition and etch chambers (preferred).
  • Familiarity with plasma and virtual fabrication simulation tools such as SEMulator3D, COMSOL, HPEM, CFD-ACE+, or Monte Carlo feature-scale simulators (preferred).

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