Technical Program Manager Intern, Global Supply Management — Reality Labs

Reality Labs builds Meta's hardware:
Ray-Ban Meta and Oakley Meta AI glasses, Meta's first‑party AI glasses, Meta Quest headsets, wrist wearables, and other AI devices including Muse Charm. The Global Supply Management (GSM) team sources the components that go into them. We set sourcing strategy, manage supplier cost and capacity, and keep production supplied through full PDP milestones and ramp.

This internship covers two tracks within GSM — Electrical & Electro-Mechanical (EE/EM) and Strategic Silicon — with placement on a specific commodity team from day one.

The EE/EM team sources the electrical and electro‑mechanical components across Reality Labs hardware, such as speakers, fans, passive components, PCBs and cables. The team sets sourcing strategy by part category, manages supplier cost and capacity, and keeps production supplied through launch and ramp, working closely with engineering, quality and operations partners.

The Strategic Silicon team sources the key silicon components across Reality Labs hardware, including SoCs, ASICs, memory, sensors, connectivity and analog ICs, and supports our system‑in‑package (SiP) engagements, custom silicon and IP needs. The team sets sourcing strategy based on strategic engagement, technology capability, pricing, capacity, engineering and quality, and manages supplier cost and capacity across the full program lifecycle from early engagement through NPI, ramp, sustaining and end of manufacturing.

As an intern, you will join the team from day one and own one project from start to finish. The project comes from work the team is doing now, so what you build will be used.

• EE/EM: benchmark an electro‑mechanical part category across suppliers and recommend a dual‑source qualification path, or build a market intelligence view of supplier capacity and price direction refreshed on a regular schedule
• Strategic Silicon: build a supply and capacity view for a silicon commodity across the program lifecycle, or model the cost and lead‑time trade‑offs of a packaging or SiP sourcing decision

• Currently pursuing a Bachelor's or Master's degree in Engineering (Electrical, Mechanical, Industrial or related), Supply Chain, Operations Research, Business Analytics, Operations or a related field
• Foundational knowledge of manufacturing processes and supply chain through coursework, projects or a prior internship
• Experience analyzing data in Excel or Google Sheets, SQL or Python
• Analytical skills, with the ability to turn analysis into clear written and spoken recommendations
• Experience working through unclear problems and setting your own priorities
• Intent to return to full‑time degree program after completion of the internship
• Must obtain work authorization in country of employment at the time of hire, and maintain ongoing work authorization during employment
• Pursuing a Master's degree, or an MBA with an undergraduate background in supply chain or electrical engineering
• Coursework or experience in supply chain, procurement, cost modeling or manufacturing
• Familiarity with silicon, electronic or electro‑mechanical parts and how they are made, such as fab, OSAT, SMT, injection molding or assembly
• Foundational knowledge of manufacturing processes such as fabrication, packaging, molding, machining, stamping or finishing
• Experience building cost models, dashboards or automated reports, for example in Tableau, Power BI or Python
• Experience using AI or LLM tools to automate analysis or workflows
• Prior internship, co‑op or project experience in sourcing, supply chain, manufacturing, hardware engineering or consumer electronics
• Interest in consumer electronics hardware and global manufacturing