Job Details

Camera Data Engineer

Cupertino, California, United States

Hardware

Summary

Posted: Jun 25, 2025

Role Number: 200610465

Apple delivers the most popular cameras in the world. Each product release provides breakthroughs in photography and stunning features customers love. Many of these impressive features utilize machine learning algorithms. As ML algorithms are applied, the connection between measurements of camera physical performance and the end user application impact becomes increasingly complex. Your work will innovate on big data engineering tools, apply data science, and develop large-scale simulations to provide correlations between camera products and their uses.

Description

In this critical product engineering role, you will drive data-driven approaches to camera technology simulation, design and manufacturing. Using your knowledge of statistical modeling, CV/ML, and data engineering, you'll help optimize how we develop and produce camera systems through data insights.
You'll build and implement simulation frameworks and data pipelines to capture metrics across the product lifecycle - from component testing through system integration. By developing effective platforms that connect simulation, training, and manufacturing data across build stages, you'll provide valuable visibility into performance factors and quality indicators.

You'll create powerful data exploration tools that help engineering teams analyze datasets, understand key relationships, and improve camera engineering. Your work will contribute to product quality, manufacturing efficiency, and the overall imaging experience for our customers.

Minimum Qualifications

• Bachelor's degree in physics, computer science, electrical engineering, data engineering, data science, or related fields.

• 2+ years of experience in data engineering, data science, analytics, computer vision, or image processing.

• Experience developing data pipelines and software stacks

• Experience with Python and code versioning systems (e.g., Git).

• Knowledge of relational and non-relational databases.

• Experience with statistical analysis.

• Knowledge of various image processing techniques.

Preferred Qualifications

• MS/PhD and 10+ years of relevant industry experience (physics, computer science, optics, image science, electrical engineering, data science).

• Experience with computer vision and ML for 2D/3D image applications and computational photography.

• Experience with data visualization platforms and languages (Tableau, JMP, Matlab, R).

• Experience developing and deploying large-scale data pipelines leveraging cloud engineering tools (AWS, Snowflake).

• Experience with ML frameworks (PyTorch, TensorFlow, etc.).

• Familiarity with camera sensors, optics, and imaging pipelines.

• Experience working in cross-functional hardware/software teams.

Pay & Benefits

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 $143,100 and $264,200, and your base pay will depend on your skills, qualifications, experience, and location.

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 opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics.Learn more about your EEO rights as an applicant (https://www.eeoc.gov/sites/default/files/2023-06/22-088_EEOC_KnowYourRights6.12ScreenRdr.pdf) .

Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics.Learn more about your EEO rights as an applicant (https://www.eeoc.gov/sites/default/files/2023-06/22-088_EEOC_KnowYourRights6.12ScreenRdr.pdf) .

Apple will not discriminate or retaliate against applicants who inquire about, disclose, or discuss their compensation.

Apple participates in the E-Verify program in certain locations as required by law.Learn more about the E-Verify program (https://www.apple.com/jobs/pdf/EverifyPosterEnglish.pdf) .

Apple is committed to working with and providing reasonable accommodation to applicants with physical and mental disabilities. Reasonable Accommodation and Drug Free Workplace policy Learn more .

Apple is a drug-free workplace. Reasonable Accommodation and Drug Free Workplace policy Learn more .

Apple will consider for employment all qualified applicants with criminal histories in a manner consistent with applicable law. If you’re applying for a position in San Francisco, review the San Francisco Fair Chance Ordinance guidelines applicable in your area.

It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.