Manufacturing Test Engineering Intern, Field Requirements & Feedback

Meta; Sunnyvale (CA); On-site; USD 75,000 - 133,000; Full time

Job summary

Meta Reality Labs is offering a 12-week Manufacturing Test Engineering Intern role in Sunnyvale, CA. You will connect product requirements to engineering test needs, analyze field feedback, and help close the loop for future programs with cross-functional partners.

Ideal candidates are pursuing a relevant engineering degree, can structure ambiguous problems, and have data-analysis experience with Excel, Python, or SQL. This internship emphasizes collaboration and data-driven recommendations.

Qualifications

• Pursuing a Bachelor’s or Master’s in a related engineering field.
• Ability to structure ambiguous problems and drive clear recommendations.
• Experience with data analysis in Excel, Python, SQL or equivalent.

Responsibilities

• Learn how Reality Labs products move from requirements to test across categories.
• Build a traceability framework linking PRDs to test needs and coverage gaps.
• Gather field data and map failures back to test coverage.
• Identify coverage gaps and excess tests affecting cost and cycle time.
• Collaborate cross-functionally with PM, quality, reliability, design, and test teams.
• Help implement a repeatable process to close field outcomes back to tests.
• Present findings and recommendations to the team and technical leadership.

Skills

Analytical thinking

Problem solving

Communication

Education

Bachelors or Masters in Systems Engineering

Industrial Engineering

Manufacturing Engineering

Engineering Management

Related field

Tools

Excel

Python

SQL

Job description

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.

Manufacturing Test Engineering Intern, Field Requirements & Feedback Responsibilities

• 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.

Minimum Qualifications

• 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

Preferred Qualifications

• 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 synthesis

About Meta

Meta 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 and Aff… 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 [e-mail].

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

Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.