Embedded Engineer - Auto Exposure Algorithms

　　Santa Clara Valley (Cupertino),California,United States

　　Hardware

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　　Summary

　　Posted:Jan 12, 2024

　　Role Number: 200534267

　　Apple's ISP algorithm team is looking for an extraordinary embedded software engineer to drive pioneering technologies for Apple products. As part of the team you would work on camera auto exposure and sensor control technologies, where you will have the chance to define the way that Apple develops, tests and manufactures all of its products. Our close-knit team cultivates an environment of product innovation, rapid product iteration and collaboration at both team and multi-functional levels with a liberating amount of autonomy.

　　Key Qualifications

　　A real passion for embedded software development

　　Proficiency in C/C++ software architecture, development and optimization

　　Proficiency in development of multi-threaded real-time software

　　Familiarity with camera and sensor programming, video processing, Neon optimization, and Python is a plus

　　Description

　　In this role you will implement, design and maintain the software driving the auto exposure inside our camera firmware stack including but not limited to: 1. Design and implement the multi-camera auto exposure processing architecture (multi-camera exposure sync control, custom capture schemes, frame rate handling, and finite state machines). 2. Work closely with the auto exposure algorithm team to adapt the architecture for new use cases and integrate new algorithms. 3. Work with other teams up the camera stack to define and implement interfaces to support new auto exposure features. 4. Optimize and improve system performance in term of power, usage, latency, jitter and etc. 5. Work on regression, unit testing, and debugging frameworks to improve the reliability of our system and help with diagnosing issues encountered in the field. This is a highly multi-functional product development role and you will work closely with various teams, like Camera Firmware and Software teams, and the Machine Learning algorithm team. The environment is multifaceted, fast-paced and requires a self-starter demeanor.

　　Education & Experience

　　BS and a minimum of 3 years relevant industry experience

　　Additional Requirements

　　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 $138,900.00 and $256,500.00, 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 (https://www.apple.com/careers/us/benefits.html) about Apple Benefits.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 take affirmative action to ensure 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.Apple Footer

　　Apple is an equal opportunity employer that is committed to inclusion and diversity. We take affirmative action to ensure 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 (Opens in a new window) .

　　Apple will not discriminate or retaliate against applicants who inquire about,disclose,or discuss their compensation or that of other applicants. United States Department of Labor. Learn more (Opens in a new window) .

　　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 (opens in a new window) applicable in your area.

　　Apple participates in the E-Verify program in certain locations as required by law. Learn more about the E-Verify program (Opens in a new window) .

　　Apple is committed to working with and providing reasonable accommodation to applicants with physical and mental disabilities. Apple is a drug-free workplace. Reasonable Accommodation and Drug Free Workplace policy Learn more (Opens in a new window) .