Manufacturing System Integration Engineer

Samsung Electronics • Taylor, TX

6d • $76,000 - $120,000 • Onsite

About The Position

Samsung Austin Semiconductor is seeking a Manufacturing System Integration Engineer to support its semiconductor facilities in Taylor and Austin, Texas. The position links proprietary production systems with physical manufacturing execution and focuses on troubleshooting factory bottlenecks, optimizing throughput, and using software tools and AI to improve employee productivity and operational efficiency. The engineer collaborates with Manufacturing, Systems, Equipment, and Process Engineering teams in a high-volume production environment.

The primary base is Taylor, Texas, with dual-site support for Austin and Taylor. The role follows a day-shift compressed work week with 12-hour shifts, three or four days per week. All positions at Samsung Austin Semiconductor are full-time and onsite.

The role includes analyzing production workflows and operational data; mapping workflows to identify redundancies and opportunities for automation; designing and deploying automation tools and production-grade AI agents; integrating AI tools into existing software and manufacturing systems; and maintaining reports, standard operating procedures, and documentation. The current base salary range is $76,000–$120,000, with compensation dependent on factors such as duties, location, education, skills, qualifications, and experience. The total compensation package includes benefits and may include company incentive compensation. Access to controlled information or technology may require verification of U.S. Person status or an export license.

Requirements

• Bachelor's degree in Industrial Engineering, Electrical Engineering, Mechanical Engineering, Data Science, or a related field.
• Two to five years of experience in semiconductor manufacturing or a related field.
• Deep understanding of manufacturing metrics including OEE, Utilization, Cycle Time, Throughput, Yield, DPML, SPC, and APC.
• Practical application of Lean Manufacturing, Six Sigma, Root Cause Analysis (RCA), and FMEA.
• Proficiency with IDEs such as VS Code and Jupyter Lab.
• Proficiency with data visualization tools such as Spotfire, Tableau, and/or Power BI for operational dashboards and executive reports.
• Strong experience in data mining and statistical analysis, with the ability to translate raw system logs into actionable manufacturing insights.
• Ability to manipulate large datasets and identify production-line trends, patterns, and anomalies.
• Proficiency in Python, with strong fundamentals in Git and structured code.
• Experience with API integration, prompt engineering, and building agents that parse structured JSON outputs to facilitate complex functions.
• Ability to meet applicable U.S. export-control requirements for access to controlled information or technology, either through U.S. Person status or an export license, as applicable.

Responsibilities

• Resolve system-related issues and eliminate factory bottlenecks; analyze production workflows to improve tool throughput and overall system performance.
• Collect and interpret data from sensors and automated systems, identify trends, and provide actionable insights for decision-making.
• Audit and map operational workflows, documenting processes and identifying redundancies and opportunities for AI and automation.
• Analyze daily internal workflows, identify automation candidates, and design and deploy tools to reduce manual data entry and streamline document routing.
• Design and deploy production-grade AI agents and copilots that use LLM APIs and proprietary data (RAG) to support engineers and technicians with multi-step operational tasks.
• Integrate AI agents into the existing software stack using APIs and function calling so tools can trigger actions within manufacturing systems.
• Create and maintain automation reports, Standard Operating Procedures (SOPs), and documentation for system enhancement requests.
• Support semiconductor facilities in Austin and Taylor, Texas, working with Manufacturing, Systems, Equipment, and Process Engineering teams.

Benefits

• Medical insurance
• Dental insurance
• Vision insurance
• Life insurance
• 401(k) matching with immediate vesting
• Onsite cafés and workout facilities
• Paid maternity leave
• Paid paternity leave
• Paid time off (PTO)
• Two personal holidays and ten regular holidays
• Wellness incentives
• Eligible full-time employees may receive MBO bonuses based on company, division, and individual performance

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level