Senior/Lead Engineer

Coherent Corp.; Sherman (TX); On-site; USD 140,000 - 190,000; Full time

Job summary

Coherent Corp. in Sherman, TX is seeking a skilled data analytics and AI/ML professional to lead cross-functional projects across AI/ML, Factory Automation, APC, and FDC domains.

The role focuses on delivering high ROI through model development, data integration, and intelligent manufacturing technologies. The ideal candidate has a strong background in data analytics within semiconductor contexts, with experience building scalable ETL pipelines and predictive analytics for yield and process

Qualifications

• Leadership capabilities to independently lead complex technical initiatives and influence cross-functional teams.
• Experience modeling, analyzing, and validating manufacturing and inspection datasets.
• Solid understanding of statistical fundamentals applied to ML, defect detection, and monitoring.
• Background in semiconductor manufacturing processes or related STEM fields.

Responsibilities

• Identify, prioritize, and collaborate with cross-functional teams on AI/ML, Factory Automation, APC, and FDC projects.
• Develop, deploy, maintain AI/ML apps, APC controllers, and FDC models to improve yield and throughput.
• Collect, integrate, and analyze manufacturing data from MES, process tools, sensors, and databases.
• Design ETL pipelines and data engineering workflows for advanced analytics and intelligent manufacturing.
• Translate process requirements into integrated AI/ML, automation, APC, and FDC solutions for fab-wide optimization.
• Support equipment integration using SECS/GEM, MES, and factory automation infrastructure.
• Troubleshoot automation, APC, FDC, data integration, and communications issues to ensure reliable operations.

Skills

Leadership

Cross-functional collaboration

Data modeling

Statistics

Semiconductor manufacturing

Education

BS/MS in CS/Software Eng/Physics/Math/Stats

Job description

Job Description

• Identify, prioritize, and collaborate with cross-functional engineering teams on AI/ML, Factory Automation, APC, and FDC projects that deliver the highest operational impact and return on investment (ROI) across the wafer fabrication facility.
• Develop, deploy, maintain, and enhance AI/ML applications, Factory Automation solutions, Advanced Process Control (APC) controllers, and Fault Detection & Classification (FDC) models to improve yield, process stability, equipment performance, throughput, and overall manufacturing efficiency.
• Collect, integrate, and analyze manufacturing data generated through Factory Automation, APC, FDC, MES, process tools, metrology systems, equipment sensors, and manufacturing databases.
• Design, develop, and maintain scalable ETL (Extract, Transform, Load) pipelines and data engineering workflows to acquire, cleanse, transform, and integrate manufacturing data for advanced analytics, machine learning, and intelligent manufacturing applications.
• Develop machine learning models and advanced analytics solutions for yield prediction, process optimization, anomaly detection, predictive maintenance, equipment health monitoring, process drift detection, root cause analysis, and intelligent process control.
• Design and implement predictive analytics, dashboards, and decision-support applications that enable proactive identification of manufacturing issues and data-driven decision making.
• Translate process engineering requirements and customer requests into integrated AI/ML, automation, APC, and FDC solutions for specific process tools, process areas, and fab-wide optimization initiatives.
• Support semiconductor equipment integration using SECS/GEM communication standards, Manufacturing Execution Systems (MES), and factory automation infrastructure.
• Support new equipment installations, product introductions, and process technology transfers by implementing robust automation, APC/FDC, and AI/ML solutions.
• Troubleshoot and resolve automation, APC, FDC, data integration, database, and equipment communication issues to ensure reliable manufacturing operations.
• Collaborate with Process, Equipment, Manufacturing, Yield Enhancement, and IT teams to deploy intelligent manufacturing solutions and continuously improve yield, throughput, cycle time, equipment effectiveness (OEE), and engineering productivity.

Primary Duties & Responsibilities

• Identify, prioritize, and collaborate with cross-functional engineering teams on AI/ML, Factory Automation, APC, and FDC projects that deliver the highest operational impact and return on investment (ROI) across the wafer fabrication facility.
• Develop, deploy, maintain, and enhance AI/ML applications, Factory Automation solutions, Advanced Process Control (APC) controllers, and Fault Detection & Classification (FDC) models to improve yield, process stability, equipment performance, throughput, and overall manufacturing efficiency.
• Collect, integrate, and analyze manufacturing data generated through Factory Automation, APC, FDC, MES, process tools, metrology systems, equipment sensors, and manufacturing databases.
• Design, develop, and maintain scalable ETL (Extract, Transform, Load) pipelines and data engineering workflows to acquire, cleanse, transform, and integrate manufacturing data for advanced analytics, machine learning, and intelligent manufacturing applications.
• Develop machine learning models and advanced analytics solutions for yield prediction, process optimization, anomaly detection, predictive maintenance, equipment health monitoring, process drift detection, root cause analysis, and intelligent process control.
• Design and implement predictive analytics, dashboards, and decision-support applications that enable proactive identification of manufacturing issues and data-driven decision making.
• Translate process engineering requirements and customer requests into integrated AI/ML, automation, APC, and FDC solutions for specific process tools, process areas, and fab-wide optimization initiatives.
• Support semiconductor equipment integration using SECS/GEM communication standards, Manufacturing Execution Systems (MES), and factory automation infrastructure.
• Support new equipment installations, product introductions, and process technology transfers by implementing robust automation, APC/FDC, and AI/ML solutions.
• Troubleshoot and resolve automation, APC, FDC, data integration, database, and equipment communication issues to ensure reliable manufacturing operations.
• Collaborate with Process, Equipment, Manufacturing, Yield Enhancement, and IT teams to deploy intelligent manufacturing solutions and continuously improve yield, throughput, cycle time, equipment effectiveness (OEE), and engineering productivity.

Education & Experience

• Minimum 5 years' experience in data analytics in semiconductor, materials, or a related industry; or demonstratable equivalent abilities.
• BS/MS or equivalent degree in computer science, software engineering, physics, mathematics, statistics or similar STEM field.

Skills

• Leadership capabilities to independently lead complex technical initiatives, provide technical direction in AVI, AI/ML, and automation efforts, and influence cross-functional teams without direct authority.
• Strong interpersonal, collaboration, and problem-solving skills, with the ability to work effectively in high-pressure manufacturing environments.
• Experience modeling, analyzing, and validating complex, imperfect real-world manufacturing and inspection datasets, including image and in-situ equipment data.
• Strong understanding of statistical fundamentals and their application to machine learning, defect detection, process monitoring, and anomaly identification.
• Solid knowledge of semiconductor manufacturing processes; background in process engineering, materials science, or related natural sciences is a plus.

Working Conditions

• This role is 100% onsite

Physical Requirements

• Ability to sustainably work on a computer full-time.
• Willingness and ability to work in a cleanroom environment as needed for system integration, testing, or troubleshooting activities.

Safety Requirements

All employees are required to follow the site EHS procedures and Coherent Corp. Corporate EHS standards.

Quality And Environmental Responsibilities

Depending on location, this position may be responsible for the execution and maintenance of the ISO 9000, 9001, 14001 and/or other applicable standards that may apply to the relevant roles and responsibilities within the Quality Management System and Environmental Management System.

Culture Commitment

• Integrity – Create an Environment of Trust
• Collaboration – Innovate Through the Sharing of Ideas
• Accountability – Own the Process and the Outcome
• Respect – Recognize the Value in Everyone
• Enthusiasm – Find a Sense of Purpose in Work

Coherent Corp. is an equal opportunity/affirmative action employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law.

If you need assistance or an accommodation due to a disability, you may contact us at [e-mail].

About Us

Coherent is a global leader in lasers, engineered materials and networking components. We are a vertically integrated manufacturing company that develops innovative products for diversified applications in the industrial, optical communications, military, life sciences, semiconductor equipment, and consumer markets. Coherent provides a comprehensive career development platform within an environment that challenges employees to perform at their best, while rewarding excellence and hard-work through a competitive compensation program. It's an exciting opportunity to work for a company that offers stability, longevity and growth. Come Join Us!