Job Details

Real-Time Computer Vision Architect

Sunnyvale, California, United States

Machine Learning and AI

Summary

Posted: Mar 06, 2025

Role Number: 200594059

The Video Computer Vision and Video Engineering teams are centralized applied research and engineering organizations responsible for developing real-time on-device Image Quality, Computer Vision, and Machine Perception technologies across Apple products. We balance research and product to deliver Apple quality, pioneering experiences, innovating through the full stack, and partnering with HW, SW, and ML teams to influence the sensor and silicon roadmap that brings our vision to life.

Description

The Architecture team within our organization is responsible for bringing together computer vision algorithms, firmware, and low-level software teams to drive some of the most exciting programs across multiple Apple products. We do this by enabling the co-design of computer vision algorithms and systems through a deep understanding of the complexities and trade-offs between algorithm performance, system resources, and real-time constraints—including the optimization of Image Signal Processing (ISP) pipelines. To be successful in this role, you not only have to be an excellent engineer, but also a phenomenal collaborator—comfortable communicating with a wide range of experts and leaders across many different domains, from firmware and OS to higher-level algorithm development. Are you ready to be a part of the next big thing at Apple?

Minimum Qualifications

• BS in computer science, electrical engineering, or other relevant fields with a minimum of 8 years relevant industry experience.

• Validated ability to work in a highly multi-functional environment at the intersection of computer vision algorithms, embedded compute, firmware development, ISP pipeline optimization, mechanical engineering, electrical engineering, optical science, and human factors.

• Proven track record in developing and improving CV perception algorithms and ISP pipelines.

• Demonstrated experience in optimizing computer vision algorithms for performance, power, and memory on embedded platforms. Familiarity with firmware integration, operating system constraints, power and memory constraints, and low-level software development for image signal processing (ISP) in real-time applications.

• Strong understanding of perception sensing technologies including color and monochrome cameras, depth sensors, and IMUs. Ability to understand and articulate trade-offs between multiple sensing solutions and their impact on both high-level algorithms and low-level system performance.

Preferred Qualifications

• Experience in optimizing and fine-tuning ISP pipelines, including tasks like noise reduction, color correction, demosaicing, and dynamic range enhancement.

• Breadth of knowledge in some areas of computer vision including either classical methods or ML. These areas may include Image Enhancement, SLAM, calibration, scene understanding, gaze tracking, human representation, and activity recognition.

• Ideal candidates will also have exposure to modern innovative techniques including vision transformers, foundation models, and vision-language models, with a focus on integrating these methods into resource-constrained environments.

• Proficiency in debugging and optimizing performance at the firmware or OS level, with specific expertise in tuning ISP performance to ensure tight integration between hardware capabilities and algorithmic performance.

• Experience in translating ambiguous, high-level product goals into detailed feature-level architectures and system requirements. Proven ability to derive defensible end-to-end requirements at the system level and decompose them into module/component specific requirements that include firmware, ISP, and OS constraints.

• Strong leadership skills to drive large multi-functional efforts, resolve conflicts, and present results to the highest levels of Apple leadership. Demonstrated ability to bridge the gap between high-level algorithm design and low-level system optimization—including the challenges of optimizing ISP performance under tight power and latency constraints.

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 $175,800 and $312,200, 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.