Camera Image Quality and Characterization Engineer

Q1 Technologies, Inc.; Mountain View (CA); On-site; USD 120,000 - 160,000; Full time

Job summary

Q1 Technologies, Inc. seeks a Sensor Image Quality and Characterization Engineer to lead IQ tests in lab and real-world environments, focusing on AV camera performance.

You will own data analysis and present results to camera-team stakeholders, developing new methodologies as needed and driving automation with Python. Proficiency in Python and strong communication are essential to align testing needs and convey key findings clearly across cross-functional teams.

Qualifications

• Solid knowledge of image sensor operation and IQ fundamentals.
• Hands-on lab experience with measurement setups for quality data acquisition.
• Understanding CMOS image sensor structure and basic analog circuits.

Responsibilities

• Execute hands-on testing for Camera Image Quality performance.
• Maintain bench characterization testing code and equipment.
• Create/refine testing software for fast data acquisition and visualization.
• Analyze data and report findings using statistical methods.
• Write technical reports with recommendations for actions.
• Develop new test setups to expand validation capabilities.

Skills

Python

MATLAB

Excel

Image quality fundamentals

Camera system design

Data analysis

Statistical analysis

Tools

Lux meters

Test charts

Optical filters

Lenses

Job description

• Basic image sensor operation, Image Quality and electronics fundamentals
• Strong knowledge of imaging/camera system level design
• Ability to understand, modify and write software to automate data acquisition and analysis, using Python, MATLAB, Excel (or other COM-capable languages

As a sensor Image Quality and Characterization engineer, you will execute image quality evaluation and characterization tests both in the lab and in the real world, with particular emphasis on AV Camera performance. In addition, you will own the analysis of the test data as well as the reporting of results to the key stakeholders in the camera team. Core responsibilities will include not only the application of currently existing testing methodologies but also the conception and development of new ones to meet Image Quality and Characterization needs. Proficiency with python will be a key requirement for this role in order to drive test setups and perform data analysis. Excellent communication skills will also be key in order to align on testing needs and convey key results effectively.

Example Duties:

• Execute hands-on testing for Camera Image Quality performance tests.
• Maintain suitable bench characterization testing code and test equipment for Camera IQ Characterization, using sound and robust IQ and optical design principles.
• Create or refine testing software in support of efficient, fast data acquisition and automated visualization.
• Analyze data and report findings using statistical data analysis methods.
• Write detailed technical reports on characterization results, and recommendations for needed actions.
• Conceive of and develop new test setups and methodologies to expand validation and characterization capabilities.

Desired Skills and Experience:

• Solid knowledge of basic image sensor operation, Image Quality and electronics fundamentals and prior application in a lab setting.
• Hands-on experience working in a lab environment, creating, maintaining and operating sensitive measurement setups for quality data acquisition.
• Knowledge of basic electrical circuit principles and design, CMOS Image Sensor structure and operation, including basic analog circuits and CMOS image sensor architecture.
• Understanding of imaging/camera system level design and considerations.
• Experience with imaging related lab hardware: light sources, lux meters, test charts, opto-mechanical components, optical filters (bandpass, IR cut-off), lenses.
• Ability to understand, modify and write software to automate data acquisition and analysis, using Python, MATLAB, Excel (or other COM-capable languages).
• Statistical data analysis: measures of central tendency, variation and uncertainty. Use of statistical software.
• Self-discipline, initiative, and motivation with the ability to work with limited direct supervision. Diligent attention to detail with a strong commitment to do the job right the first time.
• Technical creativity and innovative thinking, maintaining a professional, organized, and clean lab environment.

Excellent verbal and written communication skills