Computer Vision Architect

Summary

Posted: Mar 26, 2024

Role Number:200518136

The Video Computer Vision org is a centralized applied research and engineering organization responsible for developing real-time on-device Computer Vision and Machine Perception technologies across Apple products. We balance research and product to deliver Apple quality, state-of-the-art experiences, innovating through the full stack, and partnering with HW, SW and ML teams to influence the sensor and silicon roadmap that brings our vision to life. We're looking for highly self-motivated and hard-working individual with expertise in machine learning and computer vision to join our team to develop new technologies for Apple's next generation products. Are your ready to be apart of the next big thing at Apple?

• Ability to evaluate existing and emerging imaging systems against use case requirements, including, understanding of hardware engines (CPU, GPU, Neural Network Accelerator, DSP, etc.)
• Understanding of difference between classes of algorithms and how to optimize their efficiency on available hardware engines
• Understanding of the impact processing flow selection will have on overall system performance, power consumption and resource sharing by various algorithms.
• Deep knowledge of sensors and camera technologies, including, image acquisition (sensor+lensing+ISP), rolling vs global, color vs monochrome, rectilinear vs equidistant and their impacts on algorithms, color management, performance optimization in low light conditions, etc.
• Understanding of system resources supporting image collection and camera calibration in multi-camera systems and ability to define common system pre-processing blocks for camera streams.
• Showed strength in system architecture and performance analysis, including, input interface definition/optimization of image streams serving multiple algorithms, estimation of system compute requirements based on required performance.
• Ability to define system-wide policies optimizing resources in multi-sensor streaming systems with memory constraints
• Ability to translate product goals to feature level architectures and the ability to derive for each feature the end-to-end requirements (with rationale) and decompose them down to module/component specific requirements.
• Ability to work multi-functionally (Algorithms, Embedded, ML, Mechanical, Electrical, Optical, Human Factors, Vision science etc.)

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 $170,700.00 and $300,200.00, 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.