Image Quality Engineer

Summary

Posted: Sep 12, 2024

Role Number:200567381

Imagine what you can do here. Apple is a place where extraordinary people gather to do their lives best work. Together we create products and experiences people once couldn’t have imagined, and now, can’t imagine living without. It’s the diversity of those people and their ideas that inspires the innovation that runs through everything we do.

Description

APPLE INC has the following available in Cupertino, California and various unanticipated locations throughout the USA. Research, design, and develop computer software to do camera image and video quality objective measurement, camera feature evaluation, as well as user-level feature testing and analysis. Work with camera image processing pipeline and camera control algorithms testing, which include auto exposure, auto focusing, auto white balance, sharpness and noise, dynamic range, and video image stabilization evaluation. Develop image quality (IQ) objective test strategies that include imaging lab automation tools (to automatically capture at various light levels) and chart-based image quality analysis (examples include but limited to sharpness, noise, SNR, MTF, color difference) to test camera algorithms and camera features of next generation Apple products. Develop IQ subjective test strategies that includes real world testing and present IQ pros and cons of each feature to cross-functional teams that include development and executive teams. Conduct bi-weekly testing on captures from different cameras, and track algorithm performance and test result by using objective measurement results and metrics that include temporal filtering, SNR, color difference. and subjective evaluation result on whether the tuning tradeoff is expected or not by aligning the result with development team and cross-functional team. 40 hours/week. At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $165,500 – $248,700/yr and your base pay will depend on your skills, qualifications, experience, and location. PAY & BENEFITS: Apple employees also have the opportunity to become an Apple shareholder through participation in Apple’s discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple’s Employee Stock Purchase Plan. You’ll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses — including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits: https://www.apple.com/careers/us/benefits.html. Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program. Apple is an Equal Employment Opportunity Employer that is committed to inclusion and diversity. We also take affirmative action to offer employment and advancement opportunities to all applicants, including minorities, women, protected veterans, and individuals with disabilities.

Minimum Qualifications

• PhD degree or foreign equivalent in Electronic Engineering, Computer Engineering, Electrical Engineering or related field. Alternatively, employer will accept a Master’s degree or foreign equivalent in Electronic Engineering, Computer Engineering, Electrical Engineering or related field and 3 years of experience in the job offered or related occupation
• Proficiency in:
• 1. Validating and analyzing camera system app functionality
• 2. Utilizing image sensor technology for final video quality
• 3. Testing camera image quality and conducting video feature comparison and providing camera summary reports.
• 4. Analyzing captured videos and identifying image quality issues.
• 5. Conducting image quality evaluation of camera images, videos, and camera features.
• 6. Processing digital images for camera control algorithms and developing IQ test strategies.
• 7. Working on algorithms evaluation through camera ISP pipeline.
• 8. Processing objective image quality measurement data using Matlab, calculating IQ metrics, and developing lab automation tools.

Preferred Qualifications

• N/A