Image Quality Test

Livemindz; Cupertino (CA); On-site; USD 80,000 - 110,000; Full time

Job summary

LiveMindz Inc. in Cupertino seeks a camera and imaging test specialist to validate image and video quality across Apple devices, both in lab and real-world scenarios. You will design test strategies for camera features, build automated workflows, and work with cross-functional teams to drive product quality.

The role emphasizes regression testing, quality benchmarking, and hands-on testing in real devices, studios, and field environments. Strong Python and imaging tool skills are a plus.

Qualifications

• Own validation of image and video quality across devices and scenarios.
• Design and execute test strategies for camera, imaging, and multimedia features.
• Develop and enhance automated test workflows to improve efficiency, repeatability, and coverage.
• Analyze findings and collaborate with cross-functional teams to drive quality improvements.

Responsibilities

• Own validation of image and video quality across Apple devices, ensuring consistent performance under lab and real-world usage conditions.
• Design and execute test strategies for camera, imaging, and multimedia features, including regression and quality benchmarking activities.
• Develop and enhance automated test workflows to improve test efficiency, repeatability, and coverage.
• Analyze test findings, identify quality issues, and collaborate with cross-functional teams to drive resolution and product improvements.

Skills

Camera testing

Automated testing

Python

Imatest

Chromatix

Video quality

Demosaicing

AI/ML

Regression testing

Tools

Imatest

Chromatix

FastStone Viewer

Job description

Should understand about camera technology

Day 1 onsite 5 days in person

automated capture orchestration; iPhone, Mac, and

iPad video quality testing across lab and real-world

conditions; automated capture workflow

development; non-regression testing; findings

reporting to cross-functional teams

• Own validation of image and video quality across Apple devices, ensuring consistent performance under lab and real-world usage conditions.
• Design and execute test strategies for camera, imaging, and multimedia features, including regression and quality benchmarking activities.
• Develop and enhance automated test workflows to improve test efficiency, repeatability, and coverage.
• Analyze test findings, identify quality issues, and collaborate with cross-functional teams to drive resolution and product improvements.

specializes in computer vision, deep learning, and advanced imaging pipelines.

Video Image Quality and the implementation of AI/ML models to optimize device cameras and video playback frameworks

• video quality, image quality analysis – sharpness, contrast, exposure index, distortion, color accuracy, special frequency response measurement using tools like Imatest, Chromatix , Fast stone Viewer
• Functioning of Camera at different lux levels
• Worked in studios
• Field of View (FoV) & Magnification, Noise Analysis,
• Optical Aberrations: Real-world lenses suffer from chromatic aberration, distortion, and diffraction blur, which can be mitigated optically or via neural-network lens optimizers
• Solid-State Sensors - Bayer Color Filter Array (CFA)
• Sensor Specifications: Resolution (total pixel count vs. true spatial resolution), dynamic range, signal-to-noise ratio (SNR), and pixel pitch size (larger pixels capture more photons and perform better in low light)
• Demosaicing: Reconstructs full-color RGB pixels from single-channel Bayer data (e.g., bilinear or neural-network interpolation).
• 3A Algorithms: Automatic White Balance (AWB), Auto Exposure (AE), and Auto Focus (AF).
• Enhancements: High Dynamic Range (HDR) fusion, noise removal, and geometric/lens distortion calibration.
• Extract frames from videos
• how optics works, camera fundamentals, quality tuning, camera technology,
• running AI TOOLS – Image recognition, PYTHON (additionally nice to have)

Huawei: Camera application for GMS to HMS porting