Semiconductor Manufacturing AI Systems 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

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