Summary

Posted: Sep 20, 2024

Role Number:200568381

At Apple, we are revolutionizing the way people capture and experience the world through our powerful camera technology. Join our Camera Firmware team, a key part of the Video Engineering organization, where you will play a meaningful role in crafting industry-leading camera systems! You will help shape the future of photography and videography by leveraging sophisticated image signal processing and machine learning to deliver extraordinary image quality for millions of users. This is your opportunity to work with some of the brightest minds in the industry and make an impact on Apple's iconic products!

Description

As a Camera Firmware Engineer - ISP, you will be part of a dedicated team responsible for developing and optimizing camera firmware and embedded systems for Apple products. You will work on advanced image signal processing pipelines and machine learning algorithms to ensure that Apple delivers the best camera experience. In this role, you will be instrumental in diagnosing performance issues and enhancing the reliability and efficiency of camera systems, collaborating closely with multi-functional teams to deliver best-in-class software solutions. Key Responsibilities: 1. Develop pioneering camera technology for Apple products, focusing on advanced ISP and machine learning techniques. 2. Design and develop robust ISP pipelines for high-performance camera systems. 3. Implement and optimize machine learning algorithms for image and video enhancement and analysis. 4. Diagnose and troubleshoot performance issues in embedded systems. 5. Optimize system performance to improve efficiency and reliability. 6. Collaborate with multi-functional teams, including hardware and software engineers, to deliver high-quality software solutions.

• BS and a minimum of 3 years relevant industry experience
• Proficiency in C/C++ programming for embedded systems
• A real passion for embedded software development and system performance
• Strong expertise in multi-threading programming within an RTOS environment

• Profound knowledge and experience with ARM-based SoCs
• Extensive experience in image and video signal processing, including ISP and machine learning algorithms
• Consistent track record of system performance optimization and embedded system efficiency
• Excellent problem-solving skills and strong attention to detail
• Prior work in camera systems or related fields is a plus

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.

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. Learn more about your EEO rights as an applicant.