Strategic Sourcing Manager Intern — Reality Labs Hardware (2027)

Summary:

Join Meta's Reality Labs sourcing team to help develop supply chains for AR hardware — spanning display and optics modules (eyepiece modules, waveguides, lenses, optical coatings) and custom mechanical components for Smartglasses/MR/AR programs.Work with Strategic Sourcing Managers and teams in Engineering, Quality, Operations, and Program Management. Your work will connect technical requirements with supplier capability, cost, manufacturing capacity, and supply risk.You will join the hardware sourcing team and complete a defined summer project with guidance from experienced sourcing managers. Projects may include supplier market research, cost modeling, CMF complexity analysis, or manufacturing capacity analysis. This role combines technical analysis with business decisions and provides experience in hardware sourcing and product development.

Required Skills:

Strategic Sourcing Manager Intern — Reality Labs Hardware (2027) Responsibilities:

1. Research suppliers, manufacturing capabilities, and technology trends to support sourcing strategies for display, optical, and custom mechanical components and modules

2. Support requests for quotation (RFQs). Gather supplier quotes, compare bids, and help prepare supplier selection recommendations with Engineering, Quality, and Operations

3. Build cost models for materials, manufacturing, yield, tooling/NRE, and capital equipment. Compare scenarios, track per-variant cost deltas (including CMF), and identify cost reduction opportunities

4. Prepare data and analysis for supplier negotiations. Help compare pricing and evaluate total cost, including inventory, logistics, and quality

5. Analyze supplier capacity, process bottlenecks, and yield assumptions. Help track supplier readiness for development builds and production ramp, including tooling bring-up and qualification, line qualification, and CTB (Clear to Build) inputs

6. Map supply chains and identify risks from lead times, capacity limits, and single-source dependencies. Recommend options with the sourcing team

7. Track supplier cost, quality, and delivery data — including cosmetic rejects and yield — and support containment and recovery tracking

8. Help track SKU proliferation and process optimization: per-SKU forecasts, MOQs, cosmetic qualification status, and capacity/changeover trackers

9. Complete a defined summer project with guidance from a mentor (e.g., cost-down analysis, CMF complexity study, should-cost model, or supply risk assessment). Document assumptions, methods, and results, and present recommendations to the team

Minimum Qualifications:

Minimum Qualifications:

1. Currently pursuing a bachelor's or graduate degree in engineering, supply chain management, operations, business, or a related field

2. Foundational knowledge of engineering, manufacturing processes (e.g., molding, machining, casting, stamping, finishing), supply chains, or business analysis through coursework, projects, or prior internships

3. Ability to analyze data with spreadsheets, compare alternatives, and explain assumptions and results

4. Ability to communicate clearly, work with people from different disciplines, and solve problems when information is incomplete

5. Intent to return to full-time degree program after completion of the internship

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

Preferred Qualifications:

Preferred Qualifications:

1. Currently pursuing a master's degree in engineering, supply chain management, or operations. An MBA with an engineering or technical background is also preferred

2. Prior internship, research, or project experience in sourcing, supply chain, manufacturing, cost engineering, or hardware development

3. Familiarity with displays, optics, cameras, or depth sensing — e.g., optical assembly, lens manufacturing, coatings, lamination, or semiconductor processes

4. Familiarity with mechanical component DFM basics, tolerance/materials fundamentals, or cosmetic quality concepts

5. Experience with cost modeling, supplier comparisons, financial analysis, or data visualization

6. Experience using AI tools to analyze data or improve workflows, including checking outputs for accuracy

7. Interest in consumer electronics, AR glasses, and global manufacturing

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].