【竹北】Camera ISP/IQ tuning Engineer (3093934)

【Talents who apply job through Qualcomm Career Website will be reviewed and considered as top priority】

Please apply directly on Qualcomm Career Site via link below, and attach your English resume for further review. Thank you!

https://qualcomm.wd12.myworkdayjobs.com/zh-CN/External/job/Zhubei-City-TWN/Camera-ISP-IQ-tuning-Engineer_3093934

【PRINCIPAL DUTIES AND RESPONSIBILITIES:】

Image Quality Tuning & Optimization:

• Perform image quality tuning and optimization for camera products, including AE, AF, AWB, HDR/WDR, low-light imaging, noise reduction, detail preservation, sharpness, and color reproduction.
• Support camera bring-up and tuning activities for new image sensors and camera platforms.
• Optimize image quality performance across multiple customer use cases and deployment scenarios.

Image Quality Evaluation & Benchmarking:

• Design and execute image quality validation plans and experiments.
• Conduct image quality benchmarking against competitive camera platforms and industry-leading products.
• Define test scenarios, evaluation patterns, and benchmarking methodologies.
• Analyze benchmarking results and identify image quality improvement opportunities.

System-Level Debug & Root Cause Analysis:

• Investigate and resolve image quality issues through systematic root-cause analysis.
• Perform image quality analysis across image sensors, optics, ISP, 3A, image processing, and video encoding pipelines.
• Work closely with ISP, firmware, hardware, and application teams to identify and resolve cross-module issues.
• Support escalated customer issues through technical investigation and system-level analysis.

Image Quality Methodology & Validation:

• Define and utilize objective image quality metrics to support tuning and validation activities.
• Develop repeatable and scalable image quality evaluation methodologies.
• Contribute to benchmarking, validation, and regression workflows.
• Support automation initiatives that improve image quality evaluation efficiency.

Documentation & Communication:

• Prepare technical reports, benchmarking results, validation findings, and root-cause analysis summaries.
• Document image quality methodologies, evaluation criteria, tuning guidelines, and investigation results.
• Communicate image quality findings and technical recommendations to ISP, firmware, hardware, and application engineering teams.
• Present technical conclusions and improvement recommendations to project stakeholders when required.

【REQUIRED COMPETENCIES】

Image Quality Tuning:

• Understanding of camera ISP pipelines and interactions among imaging modules.
• Experience with image quality tuning for AE, AF, AWB, HDR/WDR, low-light imaging, noise reduction, and color reproduction.
• Ability to evaluate image quality using both objective measurements and subjective assessments.

Image Quality Evaluation & Benchmarking:

• Experience conducting image quality validation and benchmarking activities.
• Familiarity with image quality evaluation methodologies and objective metrics.
• Understanding of competitive benchmarking and image quality comparison techniques.

Camera System Knowledge:

• Understanding of CMOS image sensors, optics, and camera system fundamentals.
• Familiarity with dynamic range, sensitivity, noise performance, and HDR operation.
• Understanding of imaging system integration and image processing workflows.

System Debug & Problem Solving:

• Experience analyzing and debugging image quality issues in camera systems.
• Understanding of interactions across sensor, ISP, 3A, image processing, and video encoding pipelines.
• Familiarity with debugging interfaces such as I2C, UART, and SPI.

Programming & Automation:

• Experience with Python, C/C++, or similar programming languages.
• Ability to develop scripts or tools that improve image quality evaluation efficiency.
• Familiarity with data analysis and reporting workflows.