AI Operations Internship – Manufacturing Systems

Summary: Power Integrations is offering an AI Operations Internship focused on advancing practical AI enablement within manufacturing and test environments. The intern will contribute to initiatives that improve visibility, data readiness, and system connectivity at the factory floor level. Responsibilities: - Work across Test Engineering and Product Engineering, with regular interaction with manufacturing operations - Report directly to the Principal Test Engineer in charge of Test Engineer Services as well as guidance from a Sr. Product Engineer - Focus on data connectivity, basic analytics enablement, and system groundwork, using AI-assisted coding tools to rapidly prototype, automate, and iterate - Document assumptions, interfaces, and lessons learned to support follow-on work after the internship concludes - Assist in networking ATE handlers and related equipment to enable basic data capture and visibility of test output and utilization as well as error codes - Support simple data views or summaries to illustrate opportunities for throughput optimization - Help identify and organize available equipment signals and maintenance logs - Prepare cleaned datasets or dashboards that could later support predictive maintenance efforts (no fault correlation or modeling required) - Research and support early concepts for die-level traceability, including evaluating camera retrofit options on test handlers for 2-D barcode capture and understanding how this capability would fit within the existing handler architecture - Help validate image capture workflows for 2-D barcodes that provide full die-level traceability within packages, and assist in defining how this traceability information can be uploaded into YMS (Yield Management System) Required Qualifications: - Basic programming ability (e.g., Python, MATLAB, or similar) for scripting, data handling, and prototyping - Familiarity with data handling and basic analytics (CSV/JSON files, simple plots, tables, summaries) - Ability to work with hardware‑adjacent systems (equipment, sensors, test systems) at a conceptual level - Comfort using AI‑assisted coding tools (e.g., Copilot‑style tools, LLMs for code generation and debugging) - Strong analytical thinking and ability to document system assumptions and data flows clearly Preferred Qualifications: - Hands‑on experience with hardware projects, such as senior design, robotics, or lab work involving sensors, cameras, or physical system modifications - Exposure to mounting or retrofitting hardware components (e.g., cameras, fixtures, brackets) and working within mechanical constraints - Experience interfacing hardware with software using USB, Ethernet, serial, or basic I/O connections - Familiarity with camera setup for reliable image capture (field of view, focus, lighting, triggering), without requiring computer vision or barcode decoding expertise - Experience with data logging or lab instrumentation, including adding metadata to logs or associating data across systems - Comfort working in hands‑on, iterative environments where documentation may be incomplete and practical problem‑solving is required Required Skills: Python, MATLAB, Data handling, Basic analytics, AI-assisted coding tools, Hardware systems, USB, Ethernet, Serial connections, Camera setup, Data logging, Lab instrumentation