Industrial AI Equipment Engineer - Gresham, OR, United States
Originally posted 15 September 2026 by the employer.
This role focuses on developing and deploying AI/ML solutions in onsemi's 200 mm Gresham fab.
About the role
This role involves developing and deploying practical AI, machine-learning, and advanced-analytics solutions to improve equipment availability, troubleshooting, maintenance knowledge retention, and manufacturing decision-making. This position focuses on solutions within onsemi's 200 mm Gresham fab.
What you'll do
- Develop and own the equipment AI roadmap in partnership with equipment engineers and technicians.
- Design, build, and deploy practical AI/ML and advanced-analytics solutions from proof-of-concept through sustained production.
- Integrate sensors, vision systems, and controls at the tool, including data collection, IT/OT interfaces, and networking.
- Lead automation and AMR deployments, managing interfaces from IoT/sensor devices through equipment-control software.
- Build the data foundation by connecting equipment (XMA/XSITE), FDC/FabGuard, MES, and Ignition/SCADA facilities data into trusted, reusable datasets.
- Develop AI agents and knowledge assistants that capture maintenance procedures, BKMs, OEM manuals, and schematics.
What you'll need
- Bachelor’s degree in Electrical Engineering, Systems Engineering, Computer Science, or a related field.
- 10+ years of controls, automation, or equipment engineering experience in a manufacturing environment.
- Demonstrated PLC and controls expertise, including vision-guided systems and robot-handling equipment.
- Proven IT/OT and data-integration experience, including data collection and MES integration in a manufacturing environment.
- Software development capability with data-acquisition and dashboarding experience.
- Ability to lead projects independently from concept through sustained deployment.
Nice to have
- Direct semiconductor equipment experience (e.g., Novellus, Applied Materials, or comparable 200 mm platforms).
- Hands-on machine-learning and applied-AI experience – image/defect classification, predictive maintenance, clustering, or LLM-based agents.
- Experience deploying autonomous mobile robots (AMR) and managing the full stack from sensor/IoT devices to management software.
- Systems-engineering background with data-modeling/simulation and the ability to architect data lakes and digital twins.
- Experience leading a plant-wide “data collection by design” or automation-transformation program.
- 3D CAD and printing skills for custom sensor mounting and integration.
- Lean/Six Sigma exposure.
This role has been open 23 days — well below the 53-day median for Semiconductor Equipment Engineering roles.
Semiconductor Equipment Engineering · Manufacturing Equipment
|
Open roles in category
3718
|
Median days open
53 d
|
Median salary
$126k
|
See the full market breakdown ▾Category comparison, and who else is hiring
| Metric | onsemi | All employers we track in this specialty (3718 roles · 82 employers) |
|---|---|---|
| Open roles in this specialty | 84 | 3718 |
| Open roles in the wider Process, Fab & Equipment family | 261 | 9754 · 107 employers |
| Median days open | 61 d | 53 d (+8 d vs this employer) |
| Median salary (USD postings) | — | $126k |
Who's hiring in this category
- Applied Materials · 613 open roles · median 52 d
- Lam Research · 545 open roles · median 43 d
- Micron Technology · 269 open roles · median 44 d
- KLA Corporation · 254 open roles · median 66 d
- ASML · 198 open roles · median 64 d
- ASM International · 157 open roles · median 78 d
How we counted: 3718 open Semiconductor Equipment Engineering (Manufacturing Equipment) roles from 82 employers tracked in the SemiconductorJobs index, counted 9 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 Process, Fab & Equipment family row. Figures refresh nightly.