Lead Engineer, Automation and Application

II-VI Aerospace & Defense

$100K — $130K *
Manufacturing & Automotive
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • 5+ years experience in data analytics within semiconductor or related industries.
  • BS/MS in computer science, software engineering, or related STEM field.
  • Proven leadership in managing complex technical projects and influencing cross-functional teams.
  • Strong interpersonal skills for collaboration in fast-paced environments.
  • Experience in modeling and validating manufacturing and inspection datasets.

Responsibilities

  • Lead development and production support for AI/ML image processing in AVI tools.
  • Design and maintain advanced image processing pipelines for defect detection.
  • Develop and validate machine learning models for optical inspection.
  • Integrate AI solutions with fab automation for process anomaly detection.
  • Collaborate with automation and engineering teams for system deployment and debugging.
  • Ensure data integrity for inspection and process control applications.
  • Apply advanced analytics to enhance inspection accuracy and process yield.

Benefits

  • 100% onsite working conditions with hands-on engagement in the fab environment.
  • Opportunities for career advancement and professional development within a rapidly expanding organization.
  • Commitment to employee well-being and adherence to safety and quality standards.
  • Supportive company culture focused on integrity, collaboration, and respect.
  • Access to innovative technology and projects in a cutting-edge industry.
Full Job Description
Job Description

Primary Duties & Responsibilities
  • Lead the development, deployment, and production support of AI/ML-driven wafer-level and die-level image processing solutions for Automated Visual Inspection (AVI) tools used in front-end and back-end wafer fab operations.
  • Design, implement, and sustain advanced vision and image processing pipelines, including Crack detection and advanced defect classification, Die-to-die and wafer-level image stitching, Optical inspection data analysis
  • Develop, train, validate, and maintain machine learning models used in AI-powered optical inspection, ensuring robustness, accuracy, and scalability in high-volume manufacturing environments.
  • Integrate AI/ML-based solutions with fab automation systems, leveraging in-situ equipment and process data to enable anomaly prediction and early detection for critical processes.
  • Work hands-on in the fab environment with automation team members, operations, process engineering, and equipment engineering teams to deploy, debug, and sustain automation, inspection, and process control solutions.
  • Ensure reliable data foundations for inspection and process control applications, including data quality, traceability, and consistency across equipment, inspection, and analytics systems.
  • Apply advanced analytics and machine learning techniques to improve inspection throughput and accuracy, process stability and yield, and root-cause identification
  • Support high-volume manufacturing operations by responding to production issues, minimizing downtime, and ensuring automation and inspection systems meet fab performance and reliability requirements.

Education & Experience
  • Minimum 5 years' experience in data analytics in semiconductor, materials, or a related industry; or demonstratable equivalent abilities.
  • BS/MS or equivalent degrees 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.

About the Team

II-VI Aerospace & Defense is a high technology company, offering careers in offices and campuses in California, Colorado, Florida, Pennsylvania, and Ohio. We work with emerging technology in areas of atmospheric sensing and imaging, adaptive optics, optical communications, coherent beam combining, and numerical performance analysis of atmospheric optics systems. II-VI A&D has recently been awarded several new government contracts and we are offering opportunities to leverage your technical experience and interpersonal skills for something more than a simple paycheck. If this sounds like the type of environment you are seeking at this point in your career, and if your background meets these qualifications, please apply. We will offer a competitive salary and benefits. Since II-VI A&D is a rapidly expanding organization, it means that significant opportunities exists for career advancement and professional development.

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