SME - Mechanical, Manufacturing Design Engineer

**Summary:** The RL (Reality Labs) Team at Meta is helping more people around the world come together and connect through high-quality hardware and software. As part of the Reality Labs Devices team, we are builders who break down barriers to what is possible. Together we design and build manufacturing processes that transform technology into products. The Subject Matter Expert (SME) team has the responsibility for evaluating technologies and identifying supply chain solutions that allow Meta to deliver products to market at scale. We are seeking a Subject Matter Expert engineer (SME) who can work independently to drive manufacturing solutions from concept through production. Specific hardware development and operations knowledge are required. As Subject Matter Expert engineer (SME) in the Devices organization, you will be responsible for both hands-on technical work with the engineering design and Operations teams, for critical parts of optical and mechanical components process development and manufacturing at vendors. You will collaborate across multiple projects with optical and mechanical product designers to enable novel Smart Glass, AR/VR experiences. You will be the interface between the Tech Ops Engineering, Supply Chain, and Manufacturing teams to implement and execute comprehensive process and technical solutions for our products. **Required Skills:** SME - Mechanical, Manufacturing Design Engineer Responsibilities: 1. Drive manufacturing process innovation in mechanical and optical component solutions for Smart Glass, and AR/VR products 2. Work with Hardware Engineering, Sourcing, Quality and Tech Ops Team to identify, audit and select the best suppliers’ partner (SPOR) to manufacture our products 3. Responsible for CMF processes (PVD, CVD, painting, printing, coating), cover window manufacturing (i.e. AR coating, IR ink development, optical coating), film/lens lamination, die cut, laser cutting, adhesion (i.e. Optical Crystal Adhesion) 4. Process DFM, process bring up and qualifications 5. Develop MP intent equipment, process and materials 6. Set CTQ criteria to validate key processes. Run statistical analysis from data collected through trials and investigations. Work with the Quality team to define quality characterization, inspection methodology, and qualification of components before components ship to downstream vendors 7. Work with hardware engineering, quality, and reliability teams to debug mechanical/optical issues related to component development from NPI to ramp. Identify root cause and provide improvements via process optimization and qualifications 8. Travel to vendor sites to validate and support development (up to 45%) **Minimum Qualifications:** Minimum Qualifications: 9. BS degree or higher in Materials, Mechanical, Chemistry, Physics or equivalent experience 10. 5+ years of technical hands-on experience with mechanical, display, camera, or optical manufacturing 11. Experience partnering with multiple cross-functional partners 12. Experience with consumer electronics manufacturing and/or highly cosmetic parts 13. Familiar with statistical analysis from data gathered 14. Familiar with simple quality engineer works, such as defect characterization, yield summary report and driving yield bridge failure analysis and corrective action activities **Preferred Qualifications:** Preferred Qualifications: 15. Experience with failure analysis and troubleshooting cosmetic and functional coating defects 16. Experience managing multiple suppliers across and/or multiple projects 17. Experience with multiple surface finishing and coating methods. spray and dip coating, PVD, CVD, plating, anodizing, electrodeposition, etc 18. 10+ years of coating process development experience 19. Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies 20. Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements) 21. Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews) 22. Familiarity working with different materials, plastics, metals, glass **Industry:** Internet