Tamper-Detection Sensor Validation Engineer

Quest Global; Sunnyvale (CA); On-site; USD 115,000 - 145,000; Full time

Benefits offered by this job

Health insurance

401(k) matching

Dental insurance

Vision insurance

Paid time off

Short/Long Term Disability

Referral program

Job summary

Quest Global seeks a Sensor Validation Engineer to own tamper-detection validation for smart glasses, with potential expansion into camera and LED luminance testing. You will define methodologies, build test automation in Python, and drive investigations with hardware and software partners.

You will analyze data with pandas/numpy/OpenCV, generate clear reports, and leverage AI-assisted tooling to accelerate validation while preserving engineering ownership of results and conclusions.

Qualifications

• Bachelor's degree in Electrical/Electronics Engineering or equivalent with formal training in optics.
• 5–10 years in a system validation role for consumer electronics or related field.
• Demonstrated understanding of ambient light sensing (ALS) and its validation.
• Proficiency in Python for test automation and data analysis (pandas, numpy, OpenCV), plus shell/batch scripting.
• Hands-on experience with ADB and device-level debugging.
• Ability to define test specs and select appropriate test equipment.
• Comfortable working across both macOS and Windows.
• Experience in technical documentation and test report generation.
• Strong written and verbal communication; able to convey complex technical information to technical and non-technical audiences.
• Strong analytical and problem-solving skills.

Responsibilities

• Own end-to-end validation of tamper detection: define test plans, acceptance criteria, corner cases, and regression coverage.
• Develop, extend, and maintain Python-based test automation; understand existing scripts and add new capability rather than rebuilding from scratch.
• Build supporting shell/batch tooling for test setup, device control, data collection, and post-processing.
• Execute device-level testing using ADB and other on-device instrumentation.
• Perform optical measurements using industry-standard luminance and lux meters; maintain measurement repeatability and setup calibration.
• Extend scope to other domains such as camera and LED luminance validation as the program requires.
• Analyze test data with Python (pandas, numpy, OpenCV) and generate informative reports that pair data with interpretation, insights, and clear recommendations.
• Leverage AI-assisted tooling to improve validation throughput — test script generation, log and failure triage, anomaly detection in measurement data, and report drafting — while retaining engineering ownership of results and conclusions.
• Document validation methodology in detail so tests are reproducible across sites and teams.
• Troubleshoot sensor and optics issues, partnering with hardware, optics, and software teams to narrow down root cause.
• Specify test specifications and the equipment required for proper validation coverage.

Skills

Python

Test automation

ADB

Optical testing

OpenCV

Education

Bachelor's degree in Electrical/Electronics Engineering

Tools

ADB tooling

OpenCV

Pandas and NumPy

Job description

Quest Global seeks a Sensor Validation Engineer to own tamper-detection validation for smart glasses, with potential expansion into camera and LED luminance testing. You will define methodologies, build test automation in Python, and drive investigations with hardware and software partners.

You will analyze data with pandas/numpy/OpenCV, generate clear reports, and leverage AI-assisted tooling to accelerate validation while preserving engineering ownership of results and conclusions.