Lead the end-to-end QA strategy for Linux-based camera systems on Qualcomm platforms.
Design, develop, and maintain automated and manual test plans for camera features including image capture, video recording, HDR, auto-focus, ISP tuning, etc.
Validate camera drivers (V4L2), media frameworks (GStreamer, OpenCV), and integration with camera HAL and sensor modules.
Drive regression, performance, and stress testing across multiple platforms and software releases.
Analyze test results, debug camera-related issues, and work with engineering teams to root cause and resolve problems.
Own test coverage for camera firmware, image quality tuning, and ISP pipeline validation.
Build and manage camera test frameworks and test labs including sensor setups and automated rigs.
Collaborate with cross-functional teams including software, image tuning, firmware, and hardware groups.
Mentor and lead QA engineers; ensure adherence to QA best practices and timely delivery.

Required Qualifications:

Bachelors or Masters degree in Computer Science, Electronics, or related field.
6+ years of experience in embedded software QA with a focus on
camera systems and multimedia validation
.
Strong understanding of
Linux camera frameworks
, especially
V4L2
,
media controller
, and camera sensor drivers.
Experience with
test automation tools
(Python, Robot Framework, Shell) and camera analysis tools (ExifTool, OpenCV, etc.).
Familiarity with image quality parameters (sharpness, exposure, noise, color balance) and camera lab equipment.
Solid debugging skills and experience working with logs, kernel traces, and multimedia pipelines.
Excellent written and verbal communication skills and a strong sense of ownership.

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