Manufacturing Systems & AI Automation 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

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,