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
Ensure adherence to company’s values (ICARE) in all aspects of your position at Coherent Corp.:
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 [email protected].
Note to recruiters and employment agencies: We will not pay for unsolicited resumes from recruiters and employment agencies unless we have a signed agreement and have required assistance, in writing, for a specific opening.
Skills Required
- Minimum 5 years of data analytics experience in semiconductor, materials, or a related industry, or equivalent demonstrated ability
- BS, MS, or equivalent degree in computer science, software engineering, physics, mathematics, statistics, or a similar STEM field
- Ability to lead complex technical initiatives and provide technical direction in AI/ML, automation, and related efforts
- Experience modeling, analyzing, and validating complex 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
- Strong interpersonal, collaboration, and problem-solving skills in high-pressure manufacturing environments
- Solid knowledge of semiconductor manufacturing processes
- Background in process engineering, materials science, or related natural sciences
- Ability to work fully onsite and in a cleanroom environment as needed
Coherent Corp. Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Coherent Corp. and has not been reviewed or approved by Coherent Corp..
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Healthcare Strength — Healthcare Strength: Health coverage includes multiple national and region-specific options (UHC HDHP/HSA, PPO, EPO; Kaiser in CA; Health Net in OR) plus separate dental (Delta Dental) and vision (VSP), indicating strong breadth and choice. This breadth supports a solid total package in certain roles and locations.
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Equity Value & Accessibility — Equity Value & Accessibility: An Employee Stock Purchase Plan allows buying shares at 85% of market price with contributions up to 10% of pay, expanding ownership access. This feature can materially bolster total rewards even when base pay is mid‑pack.
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Leave & Time Off Breadth — Leave & Time Off Breadth: Paid time off includes 15 vacation days for new hires, 10 paid holidays, and additional paid time during a December shutdown. This structure provides a clear and competitive baseline for time away from work.
Coherent Corp. Insights
What We Do
Coherent empowers market innovators to define the future through breakthrough technologies, from materials to systems. We deliver innovations that resonate with our customers in diversified applications for the industrial, communications, electronics, and instrumentation markets. Headquartered in Saxonburg, Pennsylvania, Coherent has research and development, manufacturing, sales, service, and distribution facilities worldwide. For more information, please visit us at coherent.com.







