Camera ISP Computer Vision & Machine Learning Algorithm Engineer

Apple, Inc.; Cupertino (CA); Presencial; USD 150.000 - 278.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Medical & Dental

Retirement benefits

Stock options

Tuition reimbursement

Relocation assistance

Descripción de la vacante

Apple's Camera ISP team in Cupertino seeks an extraordinary algorithm engineer to advance image capture and processing for all Apple product cameras.

You will work on core camera/ISP/machine learning technologies based on Apple-designed image signal processing pipelines and hardware components, such as the Apple Neural Engine, shaping how Apple cameras capture, process, and render high-quality stills and video.

Formación

• Deep understanding of image signal processing for digital cameras.
• Strong embedded coding skills and understanding of OOP; proficiency in MATLAB, Python, C/C++, or similar.
• Self-driven approach to work, with a focus on time-sensitive practices, from problem identification to prototyping solutions and validation.

Responsabilidades

• Algorithm Development, Prototyping, and Implementation—Develop lightweight computer vision algorithms suitable for embedded systems, focusing on efficiency and performance.
• Simulation and Testing—Use camera simulations to prototype and test algorithms before hardware implementation.
• Collaboration and Integration—Work closely with SOC architecture, firmware, and other camera tech units to integrate algorithms effectively.

Conocimientos

Image signal processing

Embedded coding

C/C++

MATLAB

Educación

PhD in Computer Science, AI, ML

Herramientas

Python

Descripción del empleo

Camera ISP Computer Vision & Machine Learning Algorithm Engineer

Cupertino, California, United States Hardware

At Apple, the Camera Algorithm team is looking for extraordinary algorithm engineers to work on the image capture and processing/rendering algorithms that serve all Apple product cameras! As part of the team, you will work on core camera/ISP/machine learning technologies based on Apple-crafted image signal processing pipelines and hardware components, such as the Apple Neural Engine. Here you will have the chance to define the way Apple cameras capture, process, and render outstanding still image and video quality. Our close-knit team champions an environment of product innovation, rapid product iteration, and collaboration at both team and cross-functional levels, granting you a liberating amount of autonomy. We work closely with various teams, such as Silicon Design, Camera HW/SW, and QA. Our team environment is dynamic, fast-paced, and requires a self-starter attitude.

Description

1. Algorithm Development, Prototyping, and Implementation-Develop lightweight computer vision algorithms suitable for embedded systems, focusing on efficiency and performance. ---Utilize both traditional CV techniques (e.g., image processing, feature detection, IMU) and modern learning-based approaches.-Drive the development of algorithms from concept to deployment. Optimize algorithms for power and processing efficiency, and ensure they meet the necessary performance benchmarks.
2. Simulation and Testing-Use camera simulations to prototype and test algorithms before hardware implementation.-Conduct on-device testing and field testing to validate algorithm performance in real-world scenarios.
3. Collaboration and Integration-Work closely with various teams, such as SOC architecture, firmware, and other camera technology units, to integrate algorithms effectively.-Ensure smooth deployment and operation of algorithms within the broader camera system architecture.-Collaborate with multiple teams to deliver optimized solutions.

Minimum Qualifications

• Deep understanding of image signal processing for digital cameras.
• Strong embedded coding skills and understanding of object-oriented programming (OOP); proficiency in programming languages such as MATLAB, Python, C/C++, or similar.
• Self-driven approach to work, with a focus on time-sensitive practices, from problem identification to prototyping solutions and validation.

Preferred Qualifications

• PhD degree or equivalent practical experience in Computer Science, AI, Machine Learning, or a related technical field.
• Strong background in computer vision and embedded systems.
• Proficiency in algorithm development, with proven experience in camera imaging algorithms, using a mix of traditional image processing techniques and machine learning approaches.
• Ability to tackle complex technical challenges and devise innovative solutions.
• Quick to learn and apply new technologies and methodologies.
• Comfortable operating in a dynamic and fast-paced environment.
• Driven to deliver high-quality features that enhance user experience.

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 $150,400 and $277,600, 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.

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

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