
Manufacturing Test Engineering Intern, Field Requirements & Feedback
Required skills
- Manufacturing Test Engineering
- Internship
- Feedback Loop
- Product Requirements
- Engineering Test Requirements
- Test Readiness Plans
- Field Outcomes
- Customer Reviews
- Failure Analysis
- Traceability Framework
Nice to have
- Requirements Management
- Verification and Validation
- Quality Engineering
- Reliability Engineering
- Root Cause Analysis
- FMEA
Role summary
Reality Labs is seeking a Manufacturing Test Engineering Intern to help build a closed feedback loop connecting product requirements to field outcomes for wearable devices. This 12-week internship involves developing a traceability framework, analyzing field data (customer reviews, failure analysis), identifying test coverage gaps and excesses, and recommending process improvements. The intern will collaborate cross-functionally with product management, design, quality, and test engineering teams to ensure factory tests align with customer needs. This role requires experience in systems engineering, data analysis (Excel, Python, SQL), and structuring ambiguous problems, with preferred experience in quality, reliability, manufacturing, or supply chain environments.
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
- Must obtain work authorization in country of employment at the time of hire, and maintain ongoing work authorization during employment
- 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
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
$6,688/month to $11,880/month + benefits
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