Technical Program Manager Intern, Manufacturing Operations (Reality Labs)— 2027

Meta; Sunnyvale (CA); On-site; USD 55,000 - 83,000; Full time

Job summary

Meta's Reality Labs Manufacturing Operations is seeking a Technical Program Manager Intern to design an optimized production line for charging case manufacturing. You will analyze factory data, evaluate line layouts, and coordinate with cross-functional teams across sites to create a benchmark production flow.

This internship offers exposure to high-volume electronics manufacturing and advanced testing environments.

Qualifications

• Pursuing a technical degree in a related engineering field.
• Experience with process mapping, line balancing, and time studies.
• Strong communication to translate data into recommendations.
• Experience working with cross-functional teams across locations.
• Intend to return to full-time degree program after internship.
• Must be authorized to work in country at hire time.
• Internship/research in high-volume consumer electronics manufacturing.
• Familiarity with assembly automation, robotics, AOI or test fixtures.
• Knowledge of OEE, cycle time, UPH/UPPH and yield.
• Experience using AI tools to speed up programs.
• Ability to work independently and handle ambiguity.

Responsibilities

• Design an optimized production line for charging case manufacturing.
• Analyze factory data and evaluate line layouts and cycle times.
• Propose a production line design that can serve as a benchmark for future devices.
• Collaborate with Manufacturing Operations, Design for Excellence, and contract manufacturers.
• Support multi-site coordination and data-driven decision making.

Skills

Process mapping

Line balancing

Time studies

Factory ergonomics

Communication

Cross-functional teams

AI tools

Independent work

Education

Bachelor/Master/PhD in Industrial/Manufacturing/Mechanical/Electrical Engineering or related

Tools

AOI

Automation

Test fixtures

FATP/SMT manufacturing

Job description

The Reality Labs Manufacturing Operations team builds the operational capabilities that take Meta's next-generation smart wearables, charging cases and AR/VR hardware into production at our global contract manufacturing partners. We work across engineering, operations and factory execution. We prepare factory sites, speed up production ramp, and drive technical quality from new product introduction through end of life.

As a Technical Program Manager Intern, you'll join our hardware operations organization and lead a project to design an optimized production line for charging case manufacturing. You'll work with Manufacturing Operations, Design for Excellence, Manufacturing Test Engineering, Industrial Engineering and contract manufacturer teams across multiple sites. You'll analyze factory data, evaluate line layouts and station cycle times, and propose a production line design that can serve as a benchmark for future device programs.

• Currently pursuing a Bachelor's, Master's or PhD degree in Industrial Engineering, Manufacturing Engineering, Mechanical Engineering, Electrical Engineering, Operations Research, Supply Chain Engineering or a related technical field
• Experience with manufacturing process mapping, line balancing, time studies or factory ergonomics, through coursework, research, projects or work experience
• Communication skills, including the ability to turn complex engineering data into clear recommendations
• Experience working with cross-functional teams across multiple locations
• 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
• Internship or research experience in high-volume consumer electronics, final assembly, test and pack (FATP), or surface-mount technology (SMT) manufacturing
• Familiarity with assembly automation, robotics, automated optical inspection (AOI) or test fixture integration
• Knowledge of operational metrics such as UPH, UPPH, overall equipment effectiveness (OEE), cycle time, and first-pass and last-pass yield
• Experience using AI tools, such as workflow automation or scripting, to speed up program delivery or improve operations
• Ability to work independently and handle ambiguity in fast-paced hardware development cycles