Manufacturing AI & Systems Integration Engineer

Bzpp; United States; On-site; USD 76,000 - 120,000; Full time

Benefits offered by this job

Medical, dental, and vision insurance

401(k) matching with immediate vesting

Onsite café(s) and workout facilities

Paid time off + holidays

Job summary

Samsung Austin Semiconductor is seeking a Manufacturing Systems Integration Engineer to optimize a high-volume semiconductor production line in Taylor and Austin, Texas. You will troubleshoot bottlenecks, analyze production data, and design AI-enabled automation to boost throughput and reliability.

Ideal candidates have a Bachelor's in a related engineering field and 2–5 years in semiconductor manufacturing, with hands-on experience in data analytics, Python, and API integrations to streamline

Qualifications

• Bachelor's degree in Industrial Engineering, Electrical Engineering, Mechanical Engineering, Data Science, or related field.
• 2 to 5 years of experience in semiconductor manufacturing or related field.
• Proficiency in Python and data visualization tools; experience with API integration and AI-enabled automation.

Responsibilities

• Troubleshoot system bottlenecks and optimize throughput in a high-volume production environment.
• Collect and interpret sensor data to guide data-driven improvements.
• Lead process mapping and workflow analysis for AI and automation opportunities.
• Develop and deploy AI agents and copilots integrated with manufacturing systems.
• Create and maintain SOPs and automation reports.

Skills

Data Analysis

Python

API Integration

Lean Manufacturing

Education

Bachelor's degree in Industrial Engineering

Tools

VS Code

Jupyter Lab

Power BI

Tableau

Job description

Samsung Austin Semiconductor is seeking a Manufacturing Systems Integration Engineer to optimize a high-volume semiconductor production line in Taylor and Austin, Texas. You will troubleshoot bottlenecks, analyze production data, and design AI-enabled automation to boost throughput and reliability.

Ideal candidates have a Bachelor's in a related engineering field and 2–5 years in semiconductor manufacturing, with hands-on experience in data analytics, Python, and API integrations to streamline