AI-Powered Manufacturing Systems Engineer (Semiconductor)

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

Job summary

Samsung Austin Semiconductor in Taylor, TX is seeking Manufacturing Systems Integration Engineers to optimize factory throughput using AI and automation.

You will troubleshoot bottlenecks, analyze data from sensors, and collaborate with cross-functional teams to deploy copilots and AI agents integrated into the manufacturing stack.

The role emphasizes on-site work with day shifts, offering a competitive base pay and comprehensive benefits.

Qualifications

• Educational background in engineering or data science.
• 2–5 years in semiconductor manufacturing or related field.
• Proficiency in Python, Git, and API integration.
• Experience with data visualization tools (Spotfire/Tableau/Power BI).

Responsibilities

• Troubleshoot system bottlenecks and improve tool throughput.
• Collect and interpret sensor data to identify trends and insights.
• Map operations and identify AI/automation opportunities.
• Design and deploy automation tools to reduce manual data entry.
• Develop and deploy AI copilots and API-driven integrations.

Skills

OEE

Throughput

Cycle Time

Data Analysis

Lean Manufacturing

Six Sigma

RCA

FMEA

Python

Git

API integration

Prompt engineering

JSON parsing

Data visualization

Education

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

Tools

VS Code

Jupyter Lab

Job description

Samsung Austin Semiconductor in Taylor, TX is seeking Manufacturing Systems Integration Engineers to optimize factory throughput using AI and automation.

You will troubleshoot bottlenecks, analyze data from sensors, and collaborate with cross-functional teams to deploy copilots and AI agents integrated into the manufacturing stack.

The role emphasizes on-site work with day shifts, offering a competitive base pay and comprehensive benefits.