Camera Image Quality Engineer

Company:

Qualcomm Semiconductor Limited

Job Area:

Engineering Group, Engineering Group > Systems Engineering

General Summary:

• Image quality tuning and strategy optimization for camera ISP, including algorithm tuning on temporal noise reduction, sharpness, tone mapping, and contrast.
• Perform preliminary end-to-end IQ verification and studies to enable faster response to next generation customer requirements.

• Collaborate cross-functionally with internal teams and other departments, deliver well-substantiated evaluation reports and decisive conclusions with confidence. 
• Conduct lab and field testing (objective and subjective) to evaluate image quality, behavior, and performance.
• 60%–80% workload for customer support; 20% onsite availability for business travel across APAC and China.

Minimum Qualifications:
• Bachelor’s degree in Engineering, Information Systems, Computer Science, or related field and 5+ years of Systems Engineering or related work experience.
• Master’s degree in Engineering, Information Systems, Computer Science, or related field and 4+ years of relevant experience.
• PhD in Engineering, Information Systems, Computer Science, or related field and 3+ years of relevant experience.
• Experience in camera ISP tuning and image signal processing.
• Basic understanding of 3A algorithms (Auto Exposure, Auto White Balance, Auto Focus).

Preferred Qualifications:
• Familiarity with both objective and subjective image quality assessment methodologies.
• Experience with Snapdragon ISP is a plus.
• Background in image processing algorithms, image sensor characteristics, and optical system design.
• Proficiency in C++, MATLAB, or Python.
• Strong analytical and problem-solving skills.

• Good communication and understanding to translate customer request to technical language and solutions
• Experience in AI/machine learning-based image algorithm development is also a plus.

Minimum Qualifications:

•    Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 4+ years of Systems Engineering or related work experience.
OR
Master's degree in Engineering, Information Systems, Computer Science, or related field and 3+ years of Systems Engineering or related work experience.
OR
PhD in Engineering, Information Systems, Computer Science, or related field and 2+ years of Systems Engineering or related work experience.

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