Job Description
Meta is seeking a Display and Optics Supplier Quality Engineer to drive quality excellence across the display and optical component supply chain for Meta's consumer hardware products, including virtual reality headsets, augmented reality glasses, and mixed reality devices. In this role, you will own supplier quality strategy for display panels, optical lenses, waveguides, and related components, partnering with suppliers and internal engineering teams to ensure that optical performance, dimensional tolerances, and reliability standards are met at scale. You will shape how Meta qualifies and monitors display and optics suppliers, directly influencing the visual fidelity and user experience of next-generation spatial computing devices.
Responsibilities
Define and drive supplier quality strategy and roadmaps for display and optical components including panels, lenses, waveguides, and optical coatings used in VR, AR, and MR devices
* Lead supplier qualification activities including process audits, capability studies, first article inspections, and optical metrology reviews for new and existing display and optics suppliers
* Develop and own incoming quality control plans, acceptance criteria, and measurement system analyses for optical parameters such as luminance, contrast ratio, color uniformity, MTF, and wavefront error
* Investigate and drive resolution of display and optics-related field failures and supplier escapes using structured problem-solving methodologies such as 8D, FMEA, and root cause analysis
* Collaborate with optical engineering, mechanical engineering, and product design teams to translate optical system requirements into supplier-facing quality specifications and control plans
* Establish and track supplier quality metrics and scorecards, holding suppliers accountable to yield, defect rate, and corrective action commitments
* Influence supplier process improvements and capital investments to improve optical component yield and consistency at production scale
* Partner with commodity management and operations teams to assess supplier risk and support sourcing decisions for display and optics components
* Contribute to organizational quality strategy by identifying systemic gaps in the display and optics supply base and proposing scalable interventions
* Leverage AI-integrated workflows and data analysis tools to accelerate defect detection, supplier performance trending, and quality reporting across the display and optics portfolio
Qualifications
8+ years of experience in supplier quality engineering, manufacturing quality, or optical engineering roles focused on display or optical components
* Experience with optical metrology equipment and measurement techniques for display and optics parameters such as luminance, color, MTF, wavefront error, or surface form; ability to analyze data with statistical analysis tools
* Experience leading supplier qualification programs including process audits, FMEA development, control plan creation, and corrective action management for precision optical or display components
* Experience applying structured problem-solving methodologies such as 8D, DMAIC, or equivalent to resolve complex supplier quality escapes in a consumer electronics or hardware environment
* Experience driving cross-functional alignment across engineering, operations, and supply chain teams to define and enforce component quality requirements Experience building supplier quality management systems or automated quality data pipelines that scale across a multi-supplier display or optics supply base
* Track record of influencing supplier capital investment or process redesign decisions that resulted in measurable yield improvement for precision optical components
* Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
* Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
* Familiarity with optical simulation and tolerance analysis tools used to derive supplier-facing specifications from system-level optical requirements
* Experience with display and optics components specific to VR, AR, or MR devices such as micro-OLED or micro-LED panels, pancake lenses, diffractive waveguides, or freeform optics
* Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
