Vision & AI Sensor Validation Engineer

Quest Global

Sunnyvale (CA)

On-site

USD 120,000 - 160,000

Full time

3 days ago
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Job summary

Quest Global seeks a Systems Validation Engineer to own multi-sensor validation for next-gen wearables. You will build test capability for HW image quality feeding on-device AI, characterizing camera hardware performance and establishing repeatable setups and metrics.

Strong imaging science background and Python automation are essential. You will design validation methods across vision and sensing use cases, develop lab setups and automation, and report root causes and improvements for hardware

Qualifications

  • Masters degree with 6–10 years in imaging/vision or related field.
  • Hands-on validation of consumer imaging systems with objective QC metrics.
  • Experience designing tests for camera and ISP outputs.

Responsibilities

  • Design and build validation methods for vision and sensing use cases.
  • Create lab setups, lighting, targets, fixtures and maintain calibration.
  • Develop Python automation for data capture, analysis and reports.
  • Propose measurement methods and pass/fail criteria when requirements are open.
  • Investigate pre-production hardware issues and produce actionable reports.
  • Validate multi-camera interactions under variable environmental conditions.
  • Plan system-level validation for photo, video, and streaming capture per AI use cases.
  • Document methods and results for repeatability and defendability.

Skills

Python programming
Optical lab skills
Image quality testing
Computer vision
Image processing
OpenCV
Scripting (bash)

Education

Masters Degree in Imaging Science/EE/CS

Tools

Lab equipment and fixtures
Automation tooling

Job description

Quest Global seeks a Systems Validation Engineer to own multi-sensor validation for next-gen wearables. You will build test capability for HW image quality feeding on-device AI, characterizing camera hardware performance and establishing repeatable setups and metrics.

Strong imaging science background and Python automation are essential. You will design validation methods across vision and sensing use cases, develop lab setups and automation, and report root causes and improvements for hardware

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