Experienced Defect Product Module Engineer

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

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.

We offer a comprehensive benefits package, including:

• 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.

Trade Secrets
By submitting an application, you agree not to disclose to Samsung or induce or encourage Samsung to use any confidential or proprietary information (including trade secrets) belonging to a current or former employer or other entity.

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