Industrial AI Equipment Engineer

onsemi•Gresham, OR

27d•Onsite

About The Position

As Industrial AI Equipment Engineer at onsemi's 200 mm Gresham fab, you will develop and deploy practical AI, machine-learning, and advanced-analytics solutions that improve equipment availability, troubleshooting effectiveness, maintenance knowledge retention, and manufacturing decision-making. You will own the equipment AI roadmap in partnership with equipment engineers and technicians, and then execute on it – spanning physical sensor and vision integrations at the tool, AMR and automation deployments, and digital AI/ML platforms built on fab and facilities data. The role combines controls, IT/OT, and data-integration expertise with the systems-engineering discipline to move ideas from proof-of-concept to sustained production value.

Requirements

Bachelor’s degree in Electrical Engineering, Systems Engineering, Computer Science, or a related field; advanced degree preferred.
10+ years of controls, automation, or equipment engineering experience in a manufacturing environment, including hands-on work on automated production equipment.
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 and to communicate clearly across engineering, manufacturing, and leadership.

Nice To Haves

Direct semiconductor equipment experience (e.g., Novellus, Applied Materials, or comparable 200 mm platforms) and familiarity with chemical and gas delivery systems.
Hands-on machine-learning and applied-AI experience – image/defect classification, predictive maintenance, clustering, or LLM-based agents built on internal documents and equipment history.
Experience deploying autonomous mobile robots (AMR) and managing the full stack from sensor/IoT devices to management software (e.g., MiR training or equivalent).
Systems-engineering background with data-modeling/simulation and the ability to architect data lakes and digital twins across fab and facilities data.
Experience leading a plant-wide “data collection by design” or automation-transformation program and interfacing between IT and manufacturing.
3D CAD and printing skills for custom sensor mounting and integration.
Lean/Six Sigma exposure and a track record of reducing dependence on tribal knowledge through documentation and standardization.

Responsibilities

Develop and own the equipment AI roadmap in partnership with equipment engineers, technicians, process, facilities, and MOS/IT – then prioritize and execute against measurable equipment and manufacturing outcomes.
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 – specifying and standing up data collection, IT/OT interfaces, and networking while maintaining fab security and reliability requirements.
Lead automation and AMR deployments, managing interfaces from IoT/sensor devices through equipment-control software.
Build the data foundation – connect equipment (XMA/XSITE), FDC/FabGuard, MES, and Ignition/SCADA facilities data into trusted, reusable datasets, digital-twin, and data-lake structures.
Develop AI agents and knowledge assistants that capture maintenance procedures, BKMs, OEM manuals, and schematics so junior technicians can resolve issues faster as senior technicians retire.
Partner with corporate AI & Automation, MOS/IT, and vendors to clear obstacles (access, licensing, platform selection) and align with responsible-AI, data-privacy, and security standards.
Mentor engineers and technicians on data and AI methods, document solutions clearly, and drive adoption so value is retained and does not depend on tribal knowledge.