AI Operations Internship - Manufacturing Systems

Description

AI Operations Internship - Manufacturing Systems (2-Month Term)

1) Internship Summary

We are offering an AI Operations Internship focused on rapidly advancing practical AI enablement within our manufacturing and test environments. The intern will join an active working team inside Operations, contributing to hands-on initiatives that improve visibility, data readiness, and system connectivity at the factory floor level.

This role is designed to deliver real, usable building blocks for AI-driven manufacturing-not long-term research. The intern's work will help move AI initiatives from concept toward deployment by improving equipment connectivity, traceability foundations, and data flow into manufacturing systems.

2) Responsibilities

• Work across Test Engineering and Product Engineering , with regular interaction with manufacturing operations.
• Report directly to the Principal Test Enginee r 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.

3) Key Deliverables

Within the limited internship timeframe, the intern will deliver the following well-bounded, achievable outputs :

• Test Handler Connectivity & Visibility
• 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.
• Predictive Maintenance Groundwork
• 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).
• Die-Level Traceability Foundations

• 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).

Qualifications & Requirements

Required Skills:

• 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 Skills:

• 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

Education Level:

3 or 4 year engineering student with clear career objectives

Fields of Study

• Electrical Engineering
• Computer Engineering
• Computer Science
• Mechanical Engineering (with automation, controls, or mechatronics focus)
• Industrial Engineering
• Robotics or Mechatronics
• Applied AI or Data Science (systems- or hardware-oriented programs)

Power Integrations is committed to building teams that drive innovation and therefore review a range of factors when determining compensation. The hourly pay range for this internship is $32 to $34. Our pay ranges are determined by role, level, qualifications and work location.


The range displayed on the job posting reflects the minimum and maximum target for this intern in California. Within the range, individual pay is determined by additional factors, including job-related skills, experience, and relevant education or training.