Industrial AI Equipment Engineer - Gresham, OR, United States
Originally posted 15 September 2026 by the employer — open 0 days.
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 0 days — well below the 48-day median for Semiconductor Equipment Engineering roles.
Semiconductor Equipment Engineering · Manufacturing Equipment
|
Open roles in category
3561
|
Median days open
48 d
|
Median salary
$128k
|
See the full market breakdown ▾Category comparison, and who else is hiring
| Metric | onsemi | All employers we track in this specialty (3561 roles · 83 employers) |
|---|---|---|
| Open roles in this specialty | 80 | 3561 |
| Open roles in the wider Process, Fab & Equipment family | 268 | 9344 · 109 employers |
| Median days open | 49 d | 48 d (+1 d vs this employer) |
| Median salary (USD postings) | — | $128k |
Who's hiring in this category
- Applied Materials · 599 open roles · median 46 d
- Lam Research · 522 open roles · median 39 d
- Micron Technology · 232 open roles · median 33 d
- KLA Corporation · 216 open roles · median 55 d
- ASML · 181 open roles · median 61 d
- ASM International · 143 open roles · median 68 d
How we counted: 3561 open Semiconductor Equipment Engineering (Manufacturing Equipment) roles from 83 employers tracked in the SemiconductorJobs index, counted 15 Sept 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.