below marketmost similar roles pay hereabove market
This role pays less than
69%
of similar roles. Most pay
$135,000–$190,343
— the blue band above.
At the midpoint, this role pays about
$139k
versus about
$163k
for comparable roles.
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.
The Process Engineer 3 joins the Global Metrology Team to develop and implement advanced in-situ and analytical metrology solutions for semiconductor manufacturing. This role focuses on accelerating process understanding and supporting low global warming potential technologies by establishing mechanistic insights into complex process interactions. The engineer will lead the application of diagnostic techniques including GP-FTIR, Mass Spectrometry, UV-Vis, Raman spectroscopy, XPS, XRR, XRD, and XRF to characterize surface modifications and identify defect root causes. Key responsibilities include building data-driven metrology approaches using machine learning, deep learning, and Python to create predictive models for process optimization. Additionally, the role involves executing SPC-based monitoring, evaluating next-generation e-beam platforms, and collaborating with cross-functional teams to advance the metrology and defectivity roadmap for complex manufacturing applications.
Lead the application of in-situ diagnostic techniques like GP-FTIR and Raman spectroscopy to establish mechanistic process understanding.
Use advanced analytical methods such as XPS, XRR, and XRD to characterize surface modifications and identify defect root causes.
Develop data-driven metrology approaches using machine learning and deep learning to analyze large-scale process and spectral datasets.
Create predictive metrology frameworks and calibrated defectivity models to support process optimization and simulation activities.
Evaluate and deploy emerging inspection technologies, including next-generation e-beam platforms, for high-sensitivity defect detection.
Establish and execute SPC-based monitoring and qualification methodologies to ensure metrology assets operate at optimal performance.
Implement innovative metrology solutions to support low global warming potential (GWP) process technologies and reduce carbon footprints.
What we're looking for
Bachelor's degree with 5+ years of experience; or a Master's degree in Materials Science, Chemical Engineering, Chemistry, Physics, or related field with 3+ years of experience; or a PhD.
Equivalent professional experience to the degree and years of experience requirements.
Experience in AI techniques (DL, CNN) and Python programming (preferred).
Working knowledge of statistical analysis and problem-solving methodologies (preferred).
Familiarity with laboratory work, semiconductor equipment, surface preparation, and analytical techniques (preferred).
In-depth understanding of Statistical Process Control (SPC) and/or Design of Experiments (DOE) (preferred).
Knowledge of material synthesis and material characterization (preferred).
Strong ability for teamwork, collaboration, and a customer-centric technology development style (preferred).