The Camera Image Quality Engineer will be responsible for the design and development of image quality evaluation systems to measure Image Quality (IQ) metrics for Mobile, Automotive, IoT, XR, and Compute Cameras. The role involves both objective and subjective IQ evaluations, including aspects such as color, white balance, texture, noise, details, bokeh, tone/exposure, resolution, and subjective artifacts.

Key Responsibilities:

Design and develop image quality evaluation systems to measure IQ metrics for various camera applications.
Define image quality validation protocols, generate image/video datasets, and develop IQ metrics to evaluate and qualify camera solutions.
Develop software tools for lab automation, IQ metric analysis, and IQ report generation.
Generate image quality evaluation reports and communicate findings to improve IQ features.

Qualifications:

Strong understanding of camera imaging algorithms, including both traditional and machine learning-based features.
In-depth knowledge of image quality aspects, IQ evaluation methodologies, and metrics.
- Experience in designing and setting up camera IQ lab tests and real-life test scenarios.
- Experience in developing objective IQ metrics.
Knowledge and experience in machine learning algorithms for computer vision or computational photography.
Familiarity with camera sensors and modules.
Proficiency in programming languages such as MATLAB, Python, and C/C++.
Excellent communication skills for generating IQ reports and collaborating with the development team.

Work Experience:

Minimum of 2 years of experience in image processing, computer vision, camera hardware or software development, or related fields.
- Experience in imaging algorithm development for denoising and sharpening, color management, and 3A.
- Experience in computational photography algorithm development.
- Experience in machine learning algorithm development for camera imaging pipelines and/or image processing features.
- Experience in camera IQ tuning for color, tone mapping, noise, texture/sharpness, exposure control, and white balance.

Education:

PhD or MS/M.Tech in Electronics, Electrical, or Computer Science Engineering.
- Specialization in Image Processing, Image Quality, or Color Science.

Minimum Qualifications:

• Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 2+ years of Systems Engineering or related work experience.
OR
Master's degree in Engineering, Information Systems, Computer Science, or related field and 1+ year of Systems Engineering or related work experience.
OR
PhD in Engineering, Information Systems, Computer Science, or related field.

Applicants: Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail disability-accomodations@qualcomm.com or call Qualcomm's toll-free number found here. Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries).

Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law.

To all Staffing and Recruiting Agencies: Our Careers Site is only for individuals seeking a job at Qualcomm. Staffing and recruiting agencies and individuals being represented by an agency are not authorized to use this site or to submit profiles, applications or resumes, and any such submissions will be considered unsolicited. Qualcomm does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications.

If you would like more information about this role, please contact Qualcomm Careers.

Job Application Privacy Notice

Use of AI in the Application Process

Equal Employment Opportunity

"EEO is the Law" Poster Supplement

Pay Transparency Non-Discrimination Provision

Employee Polygraph Protection Act

Family Medical Leave Act

Rights of Pregnant Employees

Discrimination and Harassment

California Family Rights Act

Qualcomm Right to Inspect

Apply now

See more open positions at Nuvia

Privacy policy Cookie policy

Office Hours

Office Hours is a platform to meet the Atlantic Bridge team, get a second opinion and build a relationship. The format of the meeting is a 20 minute call with a member of the team. We’re open to giving advice, getting pitched to or just having a chat

Find Out More