Sr. Camera Validation Engineer

San Francisco, CA - USA

Monthly Salary: Not Disclosed

Posted on: 4 hours ago

Vacancies: 1 Vacancy

Job Summary

Key skills: Imatest DxO Analyzer RAW viewers ISP ColorChecker light boxes HDR charts GStreamer ADB internal camera HAL tools log analysis tools Python (OpenCV Pillow NumPy) Bash/PowerShell Jira Confluence test case management systems

Own the validation of complete camera systems at the product level ensuring that optics sensors ISP pipelines tuning blocks and imaging algorithms
work together to deliver high quality imaging performance. Drive end to end sanity testing anomaly detection tooling integration and large scale data management across multiple product generations.

Validate full camera systems including optics sensor ISP pipeline tuning blocks and imaging algorithms across device generations.
Build and maintain product level sanity check test cases in collaboration with block owners.
Execute end to end ISP pipeline validation regression testing and feature verification.
Compare results against golden references from previous generations to identify anomalies and regressions.
Perform root cause analysis across hardware firmware and software imaging components.
Conduct structured camera testing in image labs and real world environments (HDR low light motion portrait indoor/outdoor).
Capture tag and maintain large scale image and video datasets for tuning validation and ML training.
Participate as a portrait subject when needed for camera tests and database capture.
Organize test results maintain metadata and manage the lifecycle of the image database.
Develop lightweight automation scripts to streamline test execution data processing and reporting.
Integrate validation workflows with internal tooling such as GStreamer pipelines Jira ticketing systems and automated test runners.
File track and manage issues through Jira ensuring clear communication with cross functional teams.
Collaborate with imaging engineers algorithm developers hardware teams and QA to drive product level quality.

5 to 8 years of experience
Deep understanding of camera imaging systems: optics sensors ISP tuning and image quality fundamentals.
Strong experience with product level camera testing and image quality evaluation.
Proficiency with GStreamer for camera pipeline testing streaming and debugging.
Experience using Jira for bug tracking workflow management and validation dashboards.
Strong scripting skills in Python or Bash for automation and data processing.
Familiarity with OpenCV NumPy and image processing libraries.
Experience with image capture tools lab equipment and controlled lighting environments.
Ability to perform cross block root cause analysis and communicate findings clearly.
Strong organizational skills for managing large scale image datasets.

Key skills: Imatest DxO Analyzer RAW viewers ISP ColorChecker light boxes HDR charts GStreamer ADB internal camera HAL tools log analysis tools Python (OpenCV Pillow NumPy) Bash/PowerShell Jira Confluence test case management systems Own the validation of complete camera systems at the product ...

Validate full camera systems including optics sensor ISP pipeline tuning blocks and imaging algorithms across device generations.
Build and maintain product level sanity check test cases in collaboration with block owners.
Execute end to end ISP pipeline validation regression testing and feature verification.
Compare results against golden references from previous generations to identify anomalies and regressions.
Perform root cause analysis across hardware firmware and software imaging components.
Conduct structured camera testing in image labs and real world environments (HDR low light motion portrait indoor/outdoor).
Capture tag and maintain large scale image and video datasets for tuning validation and ML training.
Participate as a portrait subject when needed for camera tests and database capture.
Organize test results maintain metadata and manage the lifecycle of the image database.
Develop lightweight automation scripts to streamline test execution data processing and reporting.
Integrate validation workflows with internal tooling such as GStreamer pipelines Jira ticketing systems and automated test runners.
File track and manage issues through Jira ensuring clear communication with cross functional teams.
Collaborate with imaging engineers algorithm developers hardware teams and QA to drive product level quality.

5 to 8 years of experience
Deep understanding of camera imaging systems: optics sensors ISP tuning and image quality fundamentals.
Strong experience with product level camera testing and image quality evaluation.
Proficiency with GStreamer for camera pipeline testing streaming and debugging.
Experience using Jira for bug tracking workflow management and validation dashboards.
Strong scripting skills in Python or Bash for automation and data processing.
Familiarity with OpenCV NumPy and image processing libraries.
Experience with image capture tools lab equipment and controlled lighting environments.
Ability to perform cross block root cause analysis and communicate findings clearly.
Strong organizational skills for managing large scale image datasets.