Manufacturing System Integration Engineer

Samsung Semiconductor; Taylor (TX); On-site; USD 76,000 - 120,000; Full time

Benefits offered by this job

Medical insurance

Dental insurance

Vision insurance

401(k) matching

PTO

Job summary

Samsung Austin Semiconductor seeks Manufacturing Systems Integration Engineers to support Taylor and Austin facilities. You will bridge production systems with manufacturing execution, troubleshoot bottlenecks, and optimize throughput using AI tools.

Collaboration with Manufacturing, Systems, Equipment, and Process Engineering is essential to drive data-driven enhancements in a high-volume environment. The role emphasizes AI integration, API-based orchestration, and developing automation to

Qualifications

• Bachelor's degree in a related engineering/Science field.
• 2–5 years in semiconductor manufacturing or related field.
• Strong programming, data analysis and automation skills.

Responsibilities

• Troubleshoot and optimize manufacturing systems to remove bottlenecks.
• Analyze sensor data to drive data-informed improvements.
• Map processes and identify AI/automation opportunities.
• Design automation that reduces manual data entry and routes work efficiently.
• Develop AI copilots and integrate with existing software stacks.
• Document SOPs and report on system enhancements.

Skills

Manufacturing Metrics

Industrial Engineering

Python programming

Data Analysis

API integration

Prompt engineering

Git version control

Data visualization

Jupyter Lab

VS Code

Power BI

Education

Bachelor's degree in Industrial Engineering

Bachelor's degree in Electrical/Mechanical Engineering

Bachelor's degree in Data Science

Tools

VS Code

Jupyter Lab

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 seeking a highly skilled Manufacturing Systems Integration Engineers to support our semiconductor facilities in Taylor and Austin, Texas. You will serve as a critical link between proprietary production systems and physical manufacturing execution. The ideal candidate will be an expert in manufacturing systems with a strong interest in AI transformation. Your primary focus will be to troubleshoot factory bottlenecks and optimize throughput, while utilizing modern software tools and AI capabilities to augment employee productivity and operational efficiency. You will work closely with cross-functional teams—including Manufacturing, Systems, Equipment, and Process Engineering—to implement data-driven enhancements in a high-volume production environment.

Work Location and Schedule

• Primary Base: Taylor, TX
• Support Model: Dual-site support (Austin & Taylor)
• Shift: Day shift; Compressed Work Week (12-hour shifts, 3 or 4 days per week)

Role And Responsibilities

Here’s What You’ll Be Responsible For:

• Systems Troubleshooting & Optimization: Provide technical expertise to resolve system-related issues and eliminate factory bottlenecks. Analyze production workflows to improve tool throughput and overall system performance.
• Data Analysis & Insight: Collect and interpret data from sensors and automated systems to identify trends and provide actionable insights for informed decision‑making.
• Process Mapping & Workflow Analysis: Lead the effort to audit and map existing operational workflows. Create detailed process maps to identify redundancies and high‑value opportunities for AI and automation integration.
• Operational Automation: Analyze daily internal workflows to identify candidates for automation. Design and deploy tools that reduce manual data entry and streamline document routing to increase overall productivity.
• Collaborative AI Development: Design and deploy production‑grade AI agents and "copilots" that work alongside engineers and technicians to streamline multi‑step operational tasks. This includes leveraging LLM APIs and proprietary data (RAG) to augment human expertise with high‑speed data processing and task orchestration.
• System Integration & Orchestration: Connect AI agents seamlessly into the existing software stack. Utilize API integrations and function calling to allow AI tools to trigger actions directly within manufacturing systems.
• Documentation & Reporting: Create and maintain automation reports, Standard Operating Procedures (SOPs), and detailed documentation for all system enhancement requests.

Skills And Qualifications

Here’s What You’ll Need:

• Education: Bachelor's degree in Industrial Engineering, Electrical Engineering, Mechanical Engineering, Data Science, or a related field.
• Experience: Minimum 2 to 5 years of experience in semiconductor manufacturing, or a related field.
• Technical Skills:
• Manufacturing & Systems Skills
• Manufacturing Metrics: Deep understanding of OEE, Utilization, Cycle Time, Throughput, Yield, DPML, SPC, and APC.
• Industrial Engineering: Practical application of Lean Manufacturing, Six Sigma, Root Cause Analysis (RCA), and FMEA.
• Software Tools: Proficiency in IDEs such as VS Code and Jupyter Lab.
• Data Analysis & Visualization
• Visualization Tools: Proficient in data visualization tools such as Spotfire, Tableau, and/or Power BI to create operational dashboards and executive reports.
• Analytical Techniques: Strong experience in data mining, statistical analysis, and the ability to translate raw system logs into actionable manufacturing insights.
• Data Handling: Ability to manipulate large datasets to identify trends, patterns, and anomalies within the production line.
• Software & Automation Skills
• Core Programming: Proficient in Python with strong fundamentals in Git and structured code.
• Advanced Automation: Experience with API integration, prompt engineering, and building agents capable of parsing structured JSON outputs to facilitate complex functions.

The current base salary range for this role is between $76,000 - $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.

This position may include access to controlled information or technology under U.S. export control laws. Employment may be contingent on either the applicant verifying that the applicant falls under the “U.S. Person” definition (including U.S. citizens, U.S. lawful permanent residents, and those granted U.S. asylum or refugee status) or the employer timely obtaining any necessary export license under federal law. The employer evaluates export licensing on a case‑by‑case basis and may decline to proceed with a job applicant in its sole discretion, as export license applications can take many weeks to process.

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.

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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