Image Quality Verification Engineer

Logitech's Personal Workspace Solution group is seeking an Image Quality Verification Engineer to work on webcams and other video-capable devices. As an Image Quality Verification Engineer, you will work within a team of imaging engineers on subjective image quality verification. You will visually assess and validate image/video quality under controlled, repeatable conditions, run structured subjective evaluations, and use image analysis tools to quantify and explain what you observe.

Responsibilities:

• Perform subjective image quality verification and evaluation for Logitech webcams under controlled, repeatable viewing conditions.
• Design and execute image quality tests (both subjective and objective) and clearly document the results.
• Use at least one image analysis tool to measure key IQ attributes and correlate the measurements with your subjective observations.
• Summarize the purpose of each analysis item, interpret the meaning of the measured data, and explain how the different analysis items relate to one another.
• Investigate observed image quality issues and, where possible, trace them toward their root cause.
• Understand competitor products , their specifications, strengths, and weaknesses , and regularly benchmark them side-by-side against Logitech products; analyze the results to deliver data-backed findings that clearly articulate each product's strengths and weaknesses.
• Maintain per-version comparison data, test results, and reference images to track the evolution of image quality over time, and keep them well organized and readily available for review on demand.
• Support IQ validation and webcam end-to-end testing, including certification test execution for Microsoft Teams, Zoom, and Windows Hello.
• Collaborate with the IQ tuning and engineering teams to communicate findings and support image quality improvements.

Requirements:

• Bachelor's degree in Imaging Science, Photography, Electrical Engineering, Computer Science, or a related field , ideally with completed coursework or credits in digital imaging.
• Familiarity with the fundamentals of digital imaging.
• Understanding of the basic working principles of image sensors (e.g., pixel/photodiode structure, color filter array, exposure and gain, and readout).
• Understanding of 3A (auto exposure, auto white balance, auto focus) , the underlying principles, the methods used to achieve them, and their resulting effects on image quality.
• Understanding of how various imaging features interact with 3A, including the dependencies and trade-offs between them.
• Solid understanding of basic color science, including the characteristics of common color spaces and gamuts (e.g., sRGB, Lab, XYZ, HSV, YCbCr).
• Hands-on familiarity with at least one image analysis tool (e.g., Imatest).
• Ability to organize the purpose of each analysis item, interpret the meaning of the data, and understand the correlations between different analysis items.
• Strong analytical, observation, and problem-solving skills, with attention to detail.

Benefits:

• Comprehensive and competitive benefits packages
• Flexible working environments
• Hybrid work model allowing remote work
• Emphasis on employee wellbeing