OMT RAM RDA Process Optimization Engineer
Our vision is to transform how the world uses information to enrich life for all .
Position Overview
using process and defect simulation methodologies to systematically identify defect root causes (true RC)
process window optimization
linking simulation with real fab problems
Responsibilities
- Develop and apply
process / defect simulation models
to understand defect generation mechanisms across key wafer fabrication steps.
- Correlate simulation results with
inline defect, EBI, process data, and yield indicators
to identify true root causes of defects.
- Drive
data-backed process optimization strategies
to expand process windows and improve yield and reliability.
- Perform
what-if simulations
to evaluate the impact of process parameter changes, material variations, or equipment conditions.
- Partner with process, integration, and equipment engineers to
translate simulation insights into fab-implementable actions
.
- Lead or support
defect reduction, yield improvement, and cost reduction projects
using structured problem-solving methodologies (FA, FMEA, DOE, SPC, 8D).
- Support
new process introduction (NPI)
and baseline qualification by assessing defect risks through modeling and simulation.
- Document models, assumptions, and results; continuously improve simulation methodologies and best practices.
Minimum Qualifications
- Master’s degree in Engineering (Semiconductor, Materials, Chemical, Mechanical, Electrical, Physics) or related field.
- Hands-on experience in semiconductor process engineering, yield engineering, defect analysis, or simulation-related roles.
- Strong analytical mindset with proven experience in
process defect root cause analysis
.
- Ability to analyze and interpret
manufacturing and process data
(inline, metrology, defect, yield) and translate results into clear technical conclusions.
- Strong communication skills with the ability to explain
complex simulation results and physical insights
Preferred Qualifications
- PhD or advanced Master’s degree in Engineering, Physics, or a related discipline.
- Experience with
process, defect, or physical modeling and simulation tools
(e.g., TCAD, process simulation, statistical modeling, or custom-built models).
- Familiarity with
yield modeling, defect density analysis, and process window optimization methodologies
.
- Experience integrating
simulation outputs with SPC, inline metrology, defect inspection, or yield analysis data
.
- Demonstrated track record of successfully applying
simulation or analytical approaches to deliver measurable defect reduction or yield improvement
.
- Knowledge of semiconductor manufacturing
change management, risk assessment, and internal or customer audit requirements
AI Relevant Job Responsibilities
- Integrates AI-assisted tools and insights into daily work to improve efficiency, quality, or effectiveness, exercising sound judgment and complying with organizational standards and legal requirements.
- Contributes to a culture of continuous improvement by identifying, testing, and sharing AI-enabled enhancements within one’s scope of work.
- Ability to apply baseline digital fluency and role ‑ appropriate AI literacy to use AI ‑ enabled tools responsibly and effectively for research, analysis, content creation, problem ‑ solving, operational tasks, and achieving business
About Micron Technology, Inc.
Not included in the source posting: benefits.
Skills
Who can apply
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