SME, Mechanical, Manufacturing Design Engineer

Meta’s Reality Labs Devices team develops hardware, software, and manufacturing processes for immersive AR/VR products. The SME Mechanical Manufacturing Design Engineer will independently drive manufacturing solutions from concept through production, focusing on optical and mechanical component processes, supplier development, process qualification, quality, and cross-functional technical problem solving.

Responsibilities:

• Drive manufacturing process innovation in optical and mechanical component solutions for Smart Glass, and AR/VR products
• Work with Hardware Engineering, Sourcing, Quality and Tech Ops Team to identify, audit and select the best suppliers’ partner (SPOR) to manufacture our products
• Responsible for CMF processes (PVD, CVD, sputtering, printing, coating, painting), cover window manufacturing, film/lens lamination, die cut, laser cutting, adhesion (i.e., Optical Crystal Adhesion), cover window coating process development (i.e., AR coating, IR ink development, optical coating)
• Process DFM, process bring-up, and qualification
• Develop MP-intent equipment, processes, and materials
• Set CTQ criteria to validate key processes
• Run statistical analysis from data collected through trials and investigations
• Work with the internal Quality Team to define quality characterization, inspection methodology, and qualification of components before components ship to downstream vendors
• Work with the Hardware Engineering, Quality, and Reliability teams to debug optical/ mechanical issues related to component development from New Product Introduction (NPI) to ramp. Identify root cause and provide improvements via process optimization and qualifications
• Travel to vendor sites to validate and support development (up to 30%)

Requirements:

• BS degree or higher in Materials, Mechanical, Chemistry, Physics or equivalent experience
• 5+ years of technical hands-on experience with mechanical, display, camera or optical manufacturing
• Experience partnering with multiple cross functional partners
• Experience with consumer electronics manufacturing and/or highly cosmetic parts
• Experience with statistical analysis methods applied to manufacturing data
• Experience with quality engineering tasks such as defect characterization, yield summary reporting, and driving yield improvement activities
• Experience integrating AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
• Experience managing multiple suppliers across and/or multiple projects
• 10+ years of coating process development experience
• Experience with multiple surface finishing and coating methods. Spray and dip coating, PVD, CVD, Plating, Anodizing, Electro Deposition, etc
• Experience working with different materials, plastics, metals, glass
• Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
• Experience with FA and troubleshooting cosmetic and functional coating defects
• Experience developing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies