Manufacturing Test Engineering Intern, Field Requirements & Feedback

Summary:

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.

Required Skills:

Manufacturing Test Engineering Intern, Field Requirements & Feedback Responsibilities:

1. 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).

2. 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.

3. 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.

4. 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).

5. Partner cross-functionally with product management, quality, reliability, design, and test engineering teams to validate findings and align on recommendations.

6. Recommend and help implement a repeatable process for closing the loop from field outcomes back into test requirements for the next program.

7. Present findings, analysis, and recommendations to the team and to engineering leadership.

Minimum Qualifications:

Minimum Qualifications:

1. 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

2. Must obtain work authorization in country of employment at the time of hire, and maintain ongoing work authorization during employment

3. Experience structuring ambiguous, open-ended problems and driving them to a clear recommendation

4. Experience with data analysis in Excel, Python, SQL or equivalent, including working with qualitative data such as customer feedback or failure reports

Preferred Qualifications:

Preferred Qualifications:

1. Coursework, internship, or project experience in requirements management, systems engineering, or verification and validation

2. Exposure to quality or reliability engineering concepts: root cause analysis, failure analysis, FMEA, 8D, statistical process control, yield and return-rate analysis

3. Experience in a manufacturing, supply chain, or operations environment, including exposure to consumer electronics production

4. Experience coordinating across multiple teams or stakeholders on a project with competing priorities

5. Experience using AI tools to accelerate analysis, document review, or data synthesis

Public Compensation:

$6,688/month to $11,880/month + benefits

Industry: Internet

Equal Opportunity:

Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.

Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at [email protected].