Senior/Lead Engineer - Sherman, TX, United States
Originally posted 26 August 2026 by the employer.
This role will support the Sherman Wafer Fabrication facility.
About the role
This role will develop and deploy Artificial Intelligence (AI), Machine Learning (ML), and advanced data analytics solutions to improve manufacturing performance, and design, implement, and support Factory Automation, Advanced Process Control (APC), and Fault Detection & Classification (FDC) solutions across the fab.
What you'll do
- Identify, prioritize, and collaborate on AI/ML, Factory Automation, APC, and FDC projects with cross-functional engineering teams.
- Develop, deploy, maintain, and enhance AI/ML applications, Factory Automation solutions, Advanced Process Control (APC) controllers, and Fault Detection & Classification (FDC) models.
- Design, develop, and maintain scalable ETL pipelines and data engineering workflows to acquire, cleanse, transform, and integrate manufacturing data.
- Develop machine learning models and advanced analytics solutions for yield prediction, process optimization, anomaly detection, predictive maintenance, and intelligent process control.
- Support semiconductor equipment integration using SECS/GEM communication standards, Manufacturing Execution Systems (MES), and factory automation infrastructure.
- Troubleshoot and resolve automation, APC, FDC, data integration, database, and equipment communication issues.
What you'll need
- 5 years' experience in data analytics in semiconductor, materials, or a related industry.
- BS/MS or equivalent degree in computer science, software engineering, physics, mathematics, statistics or similar STEM field.
- 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.
- Ability to work in a cleanroom environment as needed for system integration, testing, or troubleshooting activities.
Skills: AI/ML applications, Factory Automation, Advanced Process Control, Fault Detection & Classification, SECS/GEM, manufacturing data
This role has been open 50 days — below the 51-day median for Software Engineering Semiconductor roles.
Software Engineering Semiconductor · AI ML Hardware
|
Open roles in category
164
|
Median days open
51 d
|
Median salary
$191k
|
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 (164 roles · 44 employers) |
|---|---|---|
| Open roles in this specialty | 3 | 164 |
| Open roles in the wider Software, Firmware & Systems family | 33 | 6127 · 145 employers |
| Median days open | 36 d | 51 d (−15 d vs this employer) |
| Median salary (USD postings) | — | $191k |
Skills observed across this category: AI/ML applications, Factory Automation, Advanced Process Control, Fault Detection & Classification, SECS/GEM, manufacturing data
Who's hiring in this category
- Micron Technology · 28 open roles · median 34 d
- NVIDIA · 26 open roles · median 189 d
- Qualcomm · 22 open roles · median 189 d
- Infineon Technologies · 10 open roles · median 43 d
- AMD · 8 open roles · median 65 d
- Applied Materials · 4 open roles · median 85 d
How we counted: 164 open Software Engineering Semiconductor (AI ML Hardware) roles from 44 employers tracked in the SemiconductorJobs index, counted 15 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 — it is counted in the wider Software, Firmware & Systems family row. Figures refresh nightly.