Summary
Posted: Aug 23, 2024
Weekly Hours: 40
Role Number:200562402
iPhone is the most popular camera in the world. The flawless integration of software and hardware has led to features like Portrait Mode and Cinematic Mode which deliver experiences that are magical. Our team works hard on products that ship to millions of people, and we are looking for people who want to do the same. The Computational Video and Machine Learning team develops the camera pipelines and innovative algorithms for Apple's mobile devices, including the iPhone and iPad. Combining innovative algorithms with optimized implementations, our team delivers the quality and features which help to re-define mobile videography. If you're passionate about inventing and developing new algorithms to improve the iPhone camera experience, we would like to hear from you.
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Description
In this role, you will lead a team of camera software engineers, building the bridge between cutting-edge machine learning research and productization. You will guide your team in designing and implementing state-of-the-art computer vision algorithms that power new high-impact Apple products and features, running on millions of devices. Leveraging your extensive GPU programming experience, you will oversee the optimization of render and compute pipelines for real-time performance. You will emphasize the importance of meticulous planning and focused execution to ensure timely delivery of innovative solutions. Additionally, you will manage cross-functional projects and collaborate closely with diverse teams across Apple to bring research-driven innovations to market.
- Proven ability to effectively lead and inspire a team, driving successful outcomes through clear communication, strategic vision, and strong team collaboration.
- Strong GPU coding skills (OpenGL/OpenCL/Metal).
- Experience with concurrent architectures.
- Strong analytical and problem-solving skills.
- Excellent written and verbal communication.
- Ability to work hands-on in multi-functional teams.
Preferred Qualifications
- Substantial prototyping experience (preferably Python).
- Extensive production programming experience (preferably Objective-C/C++).
- Practical experience in developing algorithms for image or video processing.
- Fundamental understanding of camera systems and sensors.
- MSc in Computer Science or a related field (mathematics or physics), with 3 years of industry experience.
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 $190,700 and $329,600, 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.
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.
More
- 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.