Manufacturing System Integration Engineer

Samsung Electronics

Confirmed live yesterday High trust

Quick summary

Work type
On-site
Location
Taylor, TXAustin, TX
Salary
$76,000–$120,000 / yr
Employment
Full-time
Posted
8 days ago
Freshness
Confirmed live yesterday
Closes
Jan 1, 2027
Nearby
99+ roles within 25 mi

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $171k
This role $98k
$60k $226k
below market most similar roles pay here above market

This role pays less than 99% of similar roles. Most pay $131,250–$210,093 — the blue band above. At the midpoint, this role pays about $98k versus about $171k 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 94 open roles on FindRole.

Listed pay typically runs $106,000–$174,500 across 85 roles with salary data.

Most-posted roles

View all roles at Samsung Electronics

At a glance

TL;DR · Manufacturing System Integration Engineer

Role Posting Log in to save

The Manufacturing System Integration Engineer supports semiconductor facilities in Taylor and Austin, Texas, serving as a critical link between proprietary production systems and physical manufacturing execution. This role involves troubleshooting factory bottlenecks, optimizing throughput, and implementing data-driven enhancements in a high-volume production environment. Key responsibilities include auditing operational workflows, designing automation tools to reduce manual data entry, and deploying production-grade AI agents and copilots using LLM APIs and RAG. The engineer will utilize Python, Git, VS Code, Jupyter Lab, and visualization tools like Spotfire, Tableau, or Power BI. Core competencies include Lean Manufacturing, Six Sigma, Root Cause Analysis, and a deep understanding of manufacturing metrics such as OEE, Cycle Time, Yield, SPC, and APC to solve complex production challenges.

Skills

Python LLM APIs RAG API Integration Git JSON VS Code Jupyter Lab Spotfire Tableau Power BI Lean Manufacturing Six Sigma Root Cause Analysis FMEA SPC APC OEE Data Mining Statistical Analysis

What you'll do

  • Troubleshoot factory bottlenecks and resolve system-related issues to improve tool throughput.
  • Collect and interpret sensor data to identify trends and provide actionable manufacturing insights.
  • Audit and map operational workflows to identify redundancies and opportunities for automation.
  • Design and deploy tools to reduce manual data entry and streamline document routing.
  • Develop production-grade AI agents and "copilots" using LLM APIs and RAG to automate multi-step tasks.
  • Integrate AI agents into the existing software stack using API integrations and function calling.
  • Create and maintain automation reports, Standard Operating Procedures (SOPs), and system enhancement documentation.

What we're looking for

  • Bachelor's degree in Industrial Engineering, Electrical Engineering, Mechanical Engineering, Data Science, or a related field.
  • Minimum 2 to 5 years of experience in semiconductor manufacturing or a related field.
  • Deep understanding of manufacturing metrics including OEE, Utilization, Cycle Time, Throughput, Yield, DPML, SPC, and APC.
  • Practical application of Lean Manufacturing, Six Sigma, Root Cause Analysis (RCA), and FMEA.
  • Proficiency in Python with strong fundamentals in Git and structured code.
  • Proficiency in IDEs such as VS Code and Jupyter Lab.
  • Proficiency in data visualization tools such as Spotfire, Tableau, and/or Power BI.
  • Export control laws.

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