Lead Engineer, Automation and Application - Sherman, TX, United States
Originally posted 24 February 2026 by the employer.
Automated Visual Inspection (AVI) tools
About the role
The Lead Engineer, Automation and Application leads the development, deployment, and production support of AI/ML-driven wafer-level and die-level image processing solutions for Automated Visual Inspection (AVI) tools across front-end and back-end wafer fab operations.
What you'll do
- Design, implement, and sustain advanced vision and image processing pipelines, including crack detection, advanced defect classification, die-to-die and wafer-level image stitching, and optical inspection data analysis. - Develop, train, validate, and maintain machine learning models used in AI-powered optical inspection for high-volume manufacturing environments. - Integrate AI/ML-based solutions with fab automation systems, using in-situ equipment and process data for anomaly prediction and early detection. - Work hands-on in the fab environment with automation, operations, process engineering, and equipment engineering teams to deploy, debug, and sustain inspection and process control solutions. - 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 inspection systems meet fab reliability requirements.
What you'll need
- BS/MS or equivalent degree in computer science, software engineering, physics, mathematics, statistics, or a similar STEM field. - Minimum 5 years of experience in data analytics in semiconductor, materials, or a related industry (or demonstrable equivalent abilities). - 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. - Solid knowledge of semiconductor manufacturing processes. - Willingness and ability to work in a cleanroom environment as needed for system integration, testing, or troubleshooting.
Nice to have
- Background in process engineering, materials science, or related natural sciences.
Skills: AI/ML-driven wafer-level, die-level image processing, Automated Visual Inspection, machine learning models, fab automation systems, process control
This role has been open 221 days — well above the 59-day median for Yield Engineering roles.
Yield Engineering · Yield Engineering
|
Open roles in category
219
|
Median days open
59 d
|
Median salary
$132k
|
See the full market breakdown ▾Category comparison, skills in demand, and who else is hiring
| Metric | Coherent Corp | All employers we track in this specialty (219 roles · 37 employers) |
|---|---|---|
| Open roles in this specialty | 2 | 219 |
| Median days open | 221 d | 59 d (+162 d vs this employer) |
| Median salary (USD postings) | — | $132k |
Skills observed across this category: AI/ML-driven wafer-level, die-level image processing, Automated Visual Inspection, machine learning models, fab automation systems, process control
Who's hiring in this category
- Micron Technology · 112 open roles · median 62 d
- GlobalFoundries · 11 open roles · median 174 d
- Intel Corporation · 11 open roles · median 25 d
- STMicroelectronics · 9 open roles · median 41 d
- Skyworks · 8 open roles · median 60 d
- Qualcomm · 5 open roles · median 107 d
How we counted: 219 open Yield Engineering (Yield Engineering) roles from 37 employers tracked in the SemiconductorJobs index, counted 26 Oct 2026. Specialty figures count only roles carrying this exact specialty label, so an employer's related work in neighbouring specialties is not included there. Figures refresh nightly.