Apple

Apple

Posted via Apple Careers

Camera ISP Computer Vision & Machine Learning Algorithm Engineer

Always Hiring

Posted Sep 30, 2026

Role at a glance

Job function
AI & Data Machine Learning Engineering
Salary
Not Disclosed
Location
Cupertino, California, United States

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Role Summary

AI-generated

Develop embedded, lightweight computer vision algorithms for camera ISP processing and capture control, taking them from prototyping through implementation and productization. The work includes optimizing algorithms for resource-constrained hardware and integrating them into camera systems.

What You'll Do

  • Develop efficient embedded computer vision algorithms using traditional computer vision techniques and learning-based approaches.
  • Prototype and test algorithms in camera simulations, then conduct on-device and field testing to validate performance.
  • Optimize algorithms for power and processing efficiency and assess them against performance benchmarks.
  • Collaborate with SOC architecture, firmware, and camera technology teams to integrate and deploy algorithms within the broader camera...

Generated from the employer's posting. Verify important details before applying.

View full posting

Qualifications

Required: Deep understanding of image signal processing for digital cameras; strong embedded coding skills and understanding of object-oriented programming; proficiency in MATLAB, Python, C/C++, or similar; and a self-driven, time-sensitive approach to problem identification, prototyping, and validation.

Required

  • Deep understanding of image signal processing for digital cameras.
  • Strong embedded coding skills and understanding of object-oriented programming (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.

Preferred

  • 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...
  • 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.

Original job description

Content provided by the employer

Summary

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

In this role, you will be responsible for prototyping, implementing, and productizing embedded, lightweight computer vision algorithms for ISP processing and capture control.

The ideal candidate should be able to balance optimization and performance in resource-constrained environments, keep up with rapid technological advancements in both computer vision and hardware, and ensure seamless integration with existing systems and processes.

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.

Pay & Benefits — Cupertino, California, United States

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.

Application Deadline

Apple accepts applications to this posting on an ongoing basis.

Apple

About the company

Apple

Large Enterprise

Apple Inc. is a global technology company known for its innovative products and services, including the iPhone, iPad, Mac computers, and Apple Watch. Founded in 1976, Apple has continuously pushed the boundaries of design and functionality, earning a reputation for high-quality consumer electronics and software solutions like iOS and macOS. With a strong commitment to user experience and privacy, Apple also leads in digital services, offering platforms such as the App Store, Apple Music, and iCloud. The company's focus on sustainability and corporate responsibility further enhances its standing as a leader in the technology sector.