Defect Product Module Engineer

Samsung Electronics

Confirmed live yesterday High trust

Quick summary

Work type
On-site
Location
Taylor, TX
Salary
$95,000–$120,000 / yr
Employment
Full-time
Posted
3 days ago
Freshness
Confirmed live yesterday
Closes
Dec 31, 2026

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $198k
This role $108k
$79k most similar roles pay here $247k

This role pays less than 96% of similar roles. Most pay $164,500–$231,150 — the shaded band above. At the midpoint, this role pays about $108k versus about $198k for comparable roles.

Based on 240 similar postings.

Employer

About Samsung Electronics

Samsung Electronics is a South Korean multinational corporation and a global leader in technology, specializing in consumer electronics, semiconductors, and home appliances.

Samsung Electronics currently has 84 open roles on FindRole.

Listed pay typically runs $106,000–$200,250 across 78 roles with salary data.

Most-posted roles

View all roles at Samsung Electronics

At a glance

TL;DR · Defect Product Module Engineer

The Experienced Defect Product Module Engineer joins a fabrication team to serve as a subject matter expert for a specific manufacturing module. This role focuses on the strategic quantification of yield-impacting defects and the long-term reduction of baseline defect trends within the production flow. The engineer will perform deep-dive characterization using SEM, TEM, or EDX to link physical signatures to process failures while developing predictive models to forecast yield loss. Day-to-day responsibilities include performing spatial and temporal analysis on large datasets, defining technical roadmaps for improvement, and collaborating with cross-functional teams to identify high-priority defects. Required skills include a STEM degree, semiconductor process knowledge, and proficiency in JMP, Spotfire, or Python for statistical modeling. The role utilizes Design of Experiments and ANOVA to validate actions aimed at solving critical manufacturing yield challenges.

What you'll do

  • Quantify the impact of specific defect types on final yield to reduce baseline defect density.
  • Improve predictive models that correlate inline defects to final yield loss for early warning signals.
  • Perform deep-dive characterization of defects using SEM, TEM, or EDX to link physical signatures to process failures.
  • Serve as the primary subject matter expert for a specific manufacturing module to guide process and equipment engineers.
  • Develop and execute strategic roadmaps to meet quarterly and annual yield improvement targets.
  • Analyze large datasets using spatial and temporal analysis to identify causes of yield variation.
  • Partner with integration and failure analysis teams to prioritize high-ROI defect improvements.

What we're looking for

  • Bachelor's Degree in Materials Science, Electrical Engineering, Chemical Engineering, Mechanical Engineering, or a related STEM field.
  • Broad semiconductor knowledge including material types, process tool theory of operations, and general manufacturing processes.
  • Strong understanding of Design of Experiments (DOE) and ANOVA to validate yield improvement actions.
  • Familiarity with Metrology tool models and capabilities for defect inspection and strategy selection.
  • Expert proficiency in JMP, Spotfire, or Python is highly preferred for statistical modeling and data mining.
  • Must be authorized to access information subject to U.S. export control laws.

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