Sensor Validation Engineer

Quest Global•Sunnyvale, CA

3d•$115,000 - $145,000•Onsite

About The Position

We are looking for a Sensor Validation Engineer to own validation of tamper detection sensing on smart glasses products, with the flexibility to extend into camera and LED luminance validation as program needs evolve. You will define validation methodology, build and maintain test automation, run characterization and regression testing, and drive sensor- and optics-related issues to root cause alongside hardware and software partners.

Requirements

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 a 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.

Nice To Haves

Hands-on experience with industry-standard luminance and lux meters and optical test benches.
Prior experience validating tamper detection, proximity, or capacitive/optical sensing systems.
Camera validation experience (image quality, exposure, or photometric measurement).
Experience applying AI-based tools to validation work — accelerating script development, automating log and failure triage, summarizing large validation datasets, or assisting anomaly detection.
Track record of independently finding and adopting new libraries or tools to solve measurement problems.
Demonstrated interest in cross-skilling and upskilling across adjacent sensing domains.

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.