Manufacturing System Integration Engineer

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

Job summary

Samsung Austin Semiconductor is seeking a Manufacturing Systems Integration Engineer to optimize factory throughput and deploy AI-powered copilots in a dual-site Taylor/Austin, TX operation. You’ll troubleshoot bottlenecks, analyze sensor data, map workflows, and automate daily tasks while collaborating with Manufacturing, Systems, Equipment, and Process Engineering teams.

The role requires a BS in engineering or data science and 2–5 years in semiconductor manufacturing, with strong Python, Git,

Qualifications

• Bachelor's degree in Industrial Engineering, Electrical Engineering, Mechanical Engineering, Data Science, or related field.
• 2–5 years of experience in semiconductor manufacturing or related field.
• Deep understanding of OEE, Utilization, Cycle Time, Throughput, Yield, DPML, SPC, and APC.
• Lean Manufacturing, Six Sigma, Root Cause Analysis (RCA), and FMEA.
• Proficiency in IDEs such as VS Code and Jupyter Lab; strong data visualization skills.

Responsibilities

• Systems Troubleshooting & Optimization: Resolve system issues, eliminate bottlenecks, and improve tool throughput and system performance.
• Data Analysis & Insight: Collect and interpret sensor data to identify trends and provide actionable insights.
• Process Mapping & Workflow Analysis: Audit and map workflows; create process maps to identify redundancies and AI opportunities.
• Operational Automation: Identify daily workflows for automation; deploy tools to reduce manual data entry and routing.
• Collaborative AI Development: Design and deploy AI agents and copilots using LLM APIs and proprietary data to aid engineers.
• System Integration & Orchestration: Connect AI tools into the software stack with API calls for automated actions.
• Documentation & Reporting: Create SOPs and reports for all enhancements and automation.

Skills

Automation

AI integration

Data analysis

Troubleshooting

Manufacturing processes

Python

API integration

Git

Education

Bachelor's degree in Industrial Engineering, Electrical Engineering, Mechanical Engineering, Data Science, or related field

Tools

VS Code

Jupyter Lab

Spotfire

Tableau

Power BI

Git

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.

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.
• Technical Skills: Industrial Engineering: Practical application of Lean Manufacturing, Six Sigma, Root Cause Analysis (RCA), and FMEA.
• Technical Skills: 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.
• Data Analysis & Visualization: Analytical Techniques: Strong experience in data mining, statistical analysis, and the ability to translate raw system logs into actionable manufacturing insights.
• Data Analysis & Visualization: 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.
• Software & Automation Skills 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 perma