Manufacturing Test Engineering Intern, Field Requirements & Feedback

Reality Labs builds wearable devices that make it easier for people to connect with the ones they love. These devices are manufactured and tested at scale in factories worldwide. The Manufacturing Test Engineering (MTE) team develops the test strategies, test systems, and test coverage that ensure every device we ship is functional and meets its requirements.

Today, product requirements, factory test coverage, and what customers actually experience in the field live in separate places. We want to connect them. As a Manufacturing Test Engineering Intern, you will help build a closed feedback loop that connects product requirements through to engineering test requirements, test readiness plans, and field outcomes such as customer reviews and failure analysis of early returned devices. The question you will help us answer is a fundamental one: in the factory, are we testing what customers actually need, not more and not less?

This is a cross-functional, systems-level program role. You will work across multiple product programs, partner with product management, design, quality, and test engineering, and deliver a framework and analysis the team can keep using after your internship.

This is a 12-week internship.Learn how Reality Labs products move from product requirements through design, manufacturing, and test, across multiple product categories (smart glasses, AR glasses, VR headsets, wrist wearables, and charging cases). Build a traceability framework linking product requirements (PRDs) to engineering test requirements, test coverage, and test readiness plans, and identify where requirements are untested, over-tested, or untraceable. Gather and analyze field data, including customer reviews and failure analysis of early returned devices, and map observed failures back to the test coverage that should have caught them. Identify coverage gaps (field failures our factory tests do not catch) and coverage excess (tests that add cost and cycle time without protecting a real customer requirement). Partner cross-functionally with product management, quality, reliability, design, and test engineering teams to validate findings and align on recommendations. Recommend and help implement a repeatable process for closing the loop from field outcomes back into test requirements for the next program. Present findings, analysis, and recommendations to the team and to engineering leadership.Currently has, or is in the process of obtaining, a Bachelors or Masters in Systems Engineering, Industrial Engineering, Manufacturing Engineering, Engineering Management or related field Experience structuring ambiguous, open-ended problems and driving them to a clear recommendation Experience with data analysis in Excel, Python, SQL or equivalent, including working with qualitative data such as customer feedback or failure reports Must obtain work authorization in country of employment at the time of hire, and maintain ongoing work authorization during employment Intent to return to full-time degree program after completion of the internship Coursework, internship, or project experience in requirements management, systems engineering, or verification and validation Exposure to quality or reliability engineering concepts: root cause analysis, failure analysis, FMEA, 8D, statistical process control, yield and return-rate analysis Experience in a manufacturing, supply chain, or operations environment, including exposure to consumer electronics production Experience coordinating across multiple teams or stakeholders on a project with competing priorities Experience using AI tools to accelerate analysis, document review, or data synthesisMeta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today-beyond the constraints of screens, the limits of distance, and even the rules of physics.Meta is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. You may view our Equal Employment Opportunity notice here .Meta is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, fill out the Accommodations request form .