Experienced Defect Product Module Engineer

Samsung Semiconductor; Taylor (TX); On-site; USD 95,000 - 120,000; Full time

Benefits offered by this job

Medical, dental, and vision insurance

Life insurance and 401(k) matching

Onsite café(s) and workout facilities

Paid maternity and paternity leave

PTO + 2 personal holidays and 10 paid

Wellness incentives and MORE

Job summary

Samsung Austin Semiconductor seeks a highly technical Defect Engineer for its Taylor, Texas fab. You will quantify yield-impacting defects, forecast yield loss with predictive models, and guide the roadmap to hit ambitious factory yield targets.

You’ll be the SME for your module, bridging inline defect data to final wafer yield through advanced analytics. The role emphasizes deep data analysis, defect characterization (SEM/TEM/EDX), and collaboration with process and equipment engineers to drive

Qualifications

• Bachelor’s degree in a STEM field required.
• Broad semiconductor knowledge including materials, equipment, and processes.
• Expert proficiency in JMP, Spotfire, or Python for data modeling and mining.
• Strong DOE and ANOVA understanding to validate yield actions.
• Familiar with Metrology tool models and defect inspection strategies.

Responsibilities

• Baseline Yield Optimization: quantify impact of defect types on final yield and reduce baseline defect density.
• Yield Prediction Modeling: improve models correlating inline defects to yield loss and provide early warning signals.
• Defect Characterization: perform in-depth defect analysis using SEM, TEM, or EDX to link signatures to failures.
• Module Subject Matter Expertise: act as SME for assigned module, guiding engineers on tools and processes to drive yield improvement.
• Strategic Roadmap Development: define and drive yield-improvement strategy with quarterly/annual targets.
• Data-Driven Analysis: use large datasets for spatial (wafer maps) and temporal analysis to identify yield variation causes.
• Cross-Functional Collaboration: work with Process Integration and Failure Analysis to focus on high-ROI improvements.

Skills

Advanced Data Analytics

Semiconductor Process Knowledge

Defect Characterization

Python

DOE / ANOVA

Education

Bachelor's Degree in Materials Science, Electrical Engineering, Chemical Engineering, Mechanical Engineering or a related STEM field

Tools

JMP

Spotfire

Python

Job description

About Samsung Austin Semiconductor

Samsung is a world leader in advanced semiconductor technology, founded on the belief that the pursuit of excellence creates a better world. At Samsung Austin Semiconductor, we are Innovating Today to Power the Devices of Tomorrow.

About Samsung Austin Semiconductor

Samsung is a world leader in advanced semiconductor technology, founded on the belief that the pursuit of excellence creates a better world. At Samsung Austin Semiconductor, we are Innovating Today to Power the Devices of Tomorrow.

Come innovate with us!

Position Summary

We are looking for a highly technical Defect Engineer to join our cutting-edge fabrication facility in Taylor, Texas. Unlike traditional defect management, this role focuses on the strategic quantification of yield-impacting defects and the long-term reduction of the factory’s baseline defect trends. You will be the Subject Matter Expert (SME) for a specific module (portion of the manufacturing line), bridging the gap between raw inline defect data and final wafer yield. By leveraging advanced data analysis and defect characterization, you will work with predictive models to forecast yield loss and drive the technical roadmap required to hit aggressive factory yield targets. This is a high-impact role for an engineer who enjoys data analysis and uncovering hidden signals and patterns in big data to drive physical process improvements.

Role And Responsibilities

Here’s What You’ll Be Responsible For:

• Baseline Yield Optimization: Quantify the impact of specific defect types on final yield and drive systematic actions to reduce the baseline defect density across the manufacturing flow.


• Yield Prediction Modeling: Improve predictive models that correlate random inline defects to final yield loss, providing the factory with early warning signals of yield degradation.


• Defect Characterization: Perform deep-dive characterization of defects (using SEM, TEM, or EDX) to link physical defect signatures to specific process failures within your assigned module.


• Module Subject Matter Expertise: Serve as the primary SME for your assigned module, providing technical guidance to process and equipment engineers on which tools and processes to focus on to drive yield improvement.


• Strategic Roadmap Development: Define and drive the strategy for yield improvement, executing to quarterly and annual targets and tracking progress against factory-level yield goals.


• Data-Driven Analysis: Utilize large datasets to perform spatial analysis (wafer maps) and temporal analysis to identify causes for yield variation.


• Cross-Functional Collaboration: Partner with Process Integration and Failure Analysis engineers to determine the "killer" vs. "non-killer" status of defects to ensure engineering efforts are focused on the highest-ROI improvements.

Skills And Qualifications

Here’s what you'll need:

• Minimum: Bachelor’s Degree in Materials Science, Electrical Engineering, Chemical Engineering, Mechanical Engineering or a related STEM field.


• Semiconductor Process: Broad semiconductor knowledge including different types of materials used during the manufacturing process, process tool theory of operations/or hands on experience, and general semiconductor process knowledge.


• Advanced Data Analytics: Expert proficiency in JMP, Spotfire, or, Python is highly preferred for statistical modeling and data mining.


• Statistical Mastery: Strong understanding of Design of Experiments (DOE) and ANOVA to validate yield improvement actions.


• Defect Detection Methodology: Familiar with Metrology tool models and capabilities for defect inspection and when different strategies are used for specific types of defects.

The current base salary range for this role is between $95,000 - $120,000. Individual base pay rates will depend on factors including duties, work location, education, skills, qualifications and experience. Total compensation for this position will include a competitive benefits package and may include participation in company incentive compensation programs, which are based on factors to include organizational and individual performance.

Total Rewards

At Samsung Austin Semiconductor, base pay is just one part of our total compensation package. The base compensation for this role will depend on education, experience, skills, and location.

• Medical, dental, and vision insurance


• Life insurance and 401(k) matching with immediate vesting


• Onsite café(s) and workout facilities


• Paid maternity and paternity leave


• Paid time off (PTO) + 2 personal holidays and 10 regular holidays


• Wellness incentives and MORE

Eligible full-time employees (salaried or hourly) may also receive MBO bonuses based on company, division, and individual performance.

All positions at Samsung Austin Semiconductor are full-time on-site.

U.S. Export Control

This role may require access to information subject to U.S. export control laws. Applicants must be authorized to access such information or eligible for government authorization.

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