Apple

Apple

Posted via Apple Careers

Real-Time Computer Vision Architect

Always Hiring

Posted Aug 15, 2026

Role at a glance

Salary
$184.7K – $324.8K/yr
Location
Sunnyvale, California, United States
Work arrangement
On-site
Employment
Full-time
Experience
minimum of 10 years relevant, proven experience
Education
BS in Computer Science, Electrical Engineering, or other relevant fields

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Role Summary

AI-generated

The Architecture team within Apple’s centralized Video Computer Vision and Video Engineering organizations brings together computer vision algorithms, firmware, and low-level software teams for Apple product programs. The role focuses on co-designing perception algorithms and systems while balancing algorithm performance, imaging pipelines, system resources, power, memory, and real-time constraints.

What You'll Do

  • Break down high-level product goals into system, module, and component requirements, including firmware, ISP, and OS constraints.
  • Develop and optimize computer vision perception algorithms and ISP pipelines for performance, power, and memory on embedded platforms.
  • Work with firmware, ISP, mechanical and electrical engineering, and optical science teams to evaluate sensing tradeoffs across cameras,...
  • Debug and optimize performance at the firmware or OS level, and tune ISP behavior to match hardware capability with algorithmic needs.
  • Communicate technical tradeoffs and requirements to firmware, OS, feature, and experience teams.

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

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Qualifications

BS in Computer Science, Electrical Engineering, or another relevant field; minimum 10 years of relevant experience; experience developing and improving computer vision perception algorithms and ISP pipelines; embedded-platform optimization for performance, power, and memory; firmware, OS, ISP, camera, depth sensor, and IMU expertise; depth in one or more listed computer vision specialties.

Required

  • BS in Computer Science, Electrical Engineering, or other relevant fields
  • Minimum of 10 years relevant, proven experience
  • Computer vision perception algorithms and ISP pipelines
  • Optimizing computer vision algorithms for performance, power, and memory on embedded platforms
  • Firmware integration, operating system constraints, power and memory constraints, and low-level software development for ISP in...
  • Color and monochrome cameras, depth sensors, and IMUs
  • One or more of SLAM, tracking, classification, calibration, PnP-based pose estimation, scene understanding, human representation, and...

Preferred

  • Breadth of knowledge in computer vision including classical methods or ML
  • Translating high-level product goals into feature-level architectures and system requirements
  • Strong leadership skills to drive large multi-functional efforts, resolve conflicts, and present results to the highest levels of Apple...
  • Optimizing and fine-tuning ISP pipelines, including noise reduction, color correction, demosaicing, and dynamic range enhancement
  • Vision transformers, foundation models, and vision-language models
  • Debugging and optimizing performance at the firmware or OS level

Original job description

Content provided by the employer

Summary

The Video Computer Vision and Video Engineering teams are centralized applied research and engineering organizations responsible for developing real-time on-device Computer Vision, Machine Perception, and Image Quality technologies for Apple products. We balance research and product development to deliver Apple quality, state-of-the-art experiences. We innovate across the full stack and partner with hardware and software teams to influence SW architecture, sensors, silicon, and PD/ID roadmaps that bring our vision to life.

Description

The Architecture team within our organization is responsible for bringing together computer vision algorithms, firmware, and low-level software teams to drive some of the most exciting programs across many Apple products! We do this by enabling the co-design of computer vision algorithms and systems through a deep understanding of the complexities and trade-offs between algorithm performance, imaging pipeline, system resources, and real-time constraints. To be successful in this role, you not only have to be an excellent engineer, but also a phenomenal collaborator—comfortable communicating with a wide range of experts and leaders across many different domains, from firmware and OS to feature and experience. Are you ready to be a part of the next big thing at Apple?

Responsibilities

Break down high-level product goals into system, module, and component requirements, including firmware, ISP, and OS constraints.
Find creative solutions within system constraints that unlock new perception capabilities and maximize user value.
Develop and optimize computer vision perception algorithms and ISP pipelines for performance, power, and memory on embedded platforms.
Work with firmware, ISP, mechanical and electrical engineering, and optical science teams to evaluate sensing tradeoffs across cameras, depth sensors, and IMUs.
Debug and optimize performance at the firmware or OS level, and tune ISP behavior to match hardware capability with algorithmic needs.
Communicate technical tradeoffs and requirements to partners ranging from firmware and OS engineers to feature and experience teams.

Minimum Qualifications

BS in Computer Science, Electrical Engineering, or other relevant fields with a minimum of 10 years relevant, proven experience.
Validated ability to work in a highly multi-functional environment at the intersection of Computer Vision, Embedded Systems, ISP, Mechanical and Electrical Engineering, Optical Science, Human Factors or similar.
Proven track record in developing and improving CV perception algorithms and ISP pipelines.
Demonstrated experience in optimizing computer vision algorithms for performance, power, and memory on embedded platforms. Familiarity with firmware integration, operating system constraints, power and memory constraints, and low-level software development for image signal processing (ISP) in real-time applications.
Strong understanding of perception sensing technologies including color and monochrome cameras, depth sensors, and IMUs. Ability to understand and articulate trade-offs between multiple sensing solutions and their impact on both high-level algorithms and low-level system performance.
Depth of expertise in one or more computer vision specialty areas relevant to this role. These areas may include SLAM, tracking, classification, calibration, PnP-based pose estimation, scene understanding, human representation, and image enhancement.

Preferred Qualifications

Breadth of knowledge in some areas of computer vision including either classical methods or ML. These areas may include SLAM, tracking, classification, calibration, PnP-based pose estimation, scene understanding, human representation, and image enhancement.
Experience in translating ambiguous, high-level product goals into detailed feature-level architectures and system requirements. Proven ability to derive defensible end-to-end requirements at the system level and decompose them into module/component-specific requirements that include firmware, ISP, and OS constraints.
Strong leadership skills to drive large multi-functional efforts, resolve conflicts, and present results to the highest levels of Apple leadership. Demonstrated ability to bridge the gap between high-level algorithm design and low-level system optimization—including the challenges of optimizing ISP performance under tight power and latency constraints.
Experience in optimizing and fine-tuning ISP pipelines, including tasks like noise reduction, color correction, demosaicing, and dynamic range enhancement.
Ideal candidates will also have exposure to modern innovative techniques including vision transformers, foundation models, and vision-language models, with a focus on integrating these methods into resource-constrained environments.
Proficiency in debugging and optimizing performance at the firmware or OS level, with specific expertise in tuning ISP performance to ensure tight integration between hardware capabilities and algorithmic performance.

Pay & Benefits — Sunnyvale, 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 $184,700 and $324,800, 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.