Senior Quality Engineering Lead – CQA (MR/AR Glasses)

As a Senior Customer Quality Assurance (CQA) Engineer / Technical Quality Lead, you will serve as the technical quality authority for commercial shipments of next-generation Mixed Reality (MR) and Augmented Reality (AR) Smart Glasses. You will be directly responsible for establishing and driving outgoing DPPM control frameworks, leading complex cross-functional failure analysis (8D / CQA One-Pager format), optimizing NPI-to-MP quality readiness, and safeguarding end-user experience across complex hardware, firmware, software, and companion app ecosystems.

Responsibilities

• Define, validate, and execute CQA test plans covering full system functionality, including Bluetooth/Wi-Fi connectivity, audio (MIC/SPK), camera capture/streaming, touch gestures, IMU/display performance, charging behavior, and companion app (MWA/iOS/Android) integration
• Establish DPPM baselines during NPI phases (EVT/DVT/PVT) and enforce strict outgoing quality gates (AQL / MIL-STD-1916 attributes sampling) prior to commercial shipment
• Perform risk impact assessments on CQA failures (Safety/Brand hazards, Batch issues, Single cases, or DPPM trends) and drive containment actions, line-down criteria, and quarantine management
• Drive transition from manual operator testing to automated Extended User Testing (EUT) and automated test scripts (APK/Python/JMP) to improve test coverage, repeatability, and UPH while eliminating operator bias
• Lead complex HW/SW/FW triage for system-level functional failures (e.g., optical waveguide defects, audio buzzing/noise, thermal throttling during live streaming, power/bootup failures, and sensor/B2B connectivity issues)
• Author executive-level, structured CQA MIL One-Pagers for major functional and material issues, detailing exact problem statements, step-by-step diagnostic workflows, direct root cause mechanisms, and CAPA matrix
• Design and execute Design of Experiments (DOEs) for thermal thresholds, battery consumption, signal integrity, and environmental/stress-induced degradation
• Oversee CQA laboratory bring-up at contract manufacturer (CM) facilities, including clean/shielding room setup, VPN/network whitelist configuration, MDM test phone provisioning, and MES data-tracking integration
• Analyze Early Field Failure Analysis (EFFA) pareto trends, customer returns, and internal beta-testing issues; translate field learnings into factory CQA detection line items
• Partner closely with Product Quality Engineers (PQE), Software Quality Engineers (SWQA), Supplier Quality Engineers (SQE), Optical/PD Engineers, and CM teams to close out quality tasks and drive continuous improvement
• Mandate and review standardized CQA One-Pager FA reports for all functional and material issues occurring at factory output or during NPI builds

Minimum qualifications

• B.S. or M.S. degree in Electrical Engineering, Computer Science, Optical Engineering, Mechanical Engineering, or a related technical discipline
• 5+ years of experience in Quality Engineering, Customer Quality Assurance (CQA), or System Test Engineering within high-volume consumer electronics
• Hands-on experience with smart glasses, AR/VR headsets, or wearable devices containing micro-displays, optical waveguides, IMUs, proximity/capacitive sensors, micro-cameras, and spatial audio speakers
• Experience with system-level failure analysis methodologies, log analysis via adb, sensor reading verification, and diagnostic tools (Oscilloscopes, CT Scanning, EDX/FTIR, Acoustic Analyzers)
• Experience with 8D problem solving, FMEA (DFMEA/PFMEA), SPC, MIL-STD-1916 sampling plans, AQL levels, and outgoing DPPM control frameworks
• Technical communication and reporting skills in English (written and verbal), as English is the primary language used for cross-regional engineering documentation, reporting, and collaboration Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
• Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
• Experience testing wearable devices connected to companion iOS/Android mobile apps via BLE, Wi-Fi, and cloud accounts
• Willingness to travel to and collaborate with contract manufacturer facilities in the APAC region
• Experience with scripting languages (Python, JMP, Shell/ADB) or test software development (Android APK, Android HAL/Framework testing) to automate CQA test routines
• Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)

Preferred qualifications

• Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
• Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
• Experience testing wearable devices connected to companion iOS/Android mobile apps via BLE, Wi-Fi, and cloud accounts
• Willingness to travel to and collaborate with contract manufacturer facilities in the APAC region
• Experience with scripting languages (Python, JMP, Shell/ADB) or test software development (Android APK, Android HAL/Framework testing) to automate CQA test routines
• Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)