Camera Systems Engineer

About the role

Apple Camera Architecture team is seeking an energetic and highly motivated leader to drive future camera hardware requirements and definitions for exciting range of products. The camera architecture team initiates & fosters deep collaboration between all cross functional teams involved to deliver final camera performance and features, from the hardware level through to the user facing applications. The end goal is to successfully tie in highly optimized camera hardware solutions with state of the art software providing market leading imaging experiences. The ideal candidate is someone who can perform detailed system analysis and tradeoff evaluations, derive camera and camera system requirements from use cases, and characterize and simulate optical systems to aid the design and validation process.

This role requires working closely with camera HW, product HW, factory test and algorithm design team on future Apple imaging solutions. Additional responsibilities include: • Develop camera design options based on system requirements and constraints. Perform design studies for imaging system proposals, mapping to system requirements and performance goals. • Perform and coordinate optical and camera simulation outputs to quantify proposals and designs. • Develop image metric requirements, and validate them through user studies or computer vision algorithm analysis. • Allocate requirements to related sub-components, accounting for calibration, hardware tolerances, variations, and reliability. Develop figures of merits, collaborate on factory test and metrology setups. • Support camera and system design and validation process, failure analysis and triage.

BS in Physics, Engineering, Computer Science, Imaging Science or equivalent.
Familiarity with camera technologies and optical science, knowledge in two or more of the following areas: Geometric and diffractive optics fundamentals, Traditional image quality metrics, validation and metrology techniques for imaging, Image sensor and pixel fundamentals, Camera construction and assembly, Computer vision and machine learning fundamentals, Hands on experience with using optical characterization setups for data collection, performing data analysis and automation.

3+ years of industry experience
MS, or PhD in Physics, Engineering, Computer Science, Imaging Science or equivalent
Solid understanding of camera technologies and optical science, strong knowledge in three or more of the following areas: Geometric and diffractive optics fundamentals, Traditional image quality metrics, validation and metrology techniques for imaging, Image sensor and pixel fundamentals, Camera construction and assembly, Computer vision and machine learning fundamentals, Image processing pipeline, including HDR, image fusion, multi-camera registration, etc.
Excellent written skills for clear reporting of data analysis and conclusions.
Strong communication, persuasion and negotiation skills.
Action orientated problem solver.
Comfortable with working through ambiguities.

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 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.

Responsibilities

Apple Camera Architecture team is seeking an energetic and highly motivated leader to drive future camera hardware requirements and definitions for exciting range of products. The camera architecture team initiates & fosters deep collaboration between all cross functional teams involved to deliver final camera performance and features, from the hardware level through to the user facing applications. The end goal is to successfully tie in highly optimized camera hardware solutions with state of the art software providing market leading imaging experiences.
The ideal candidate is someone who can perform detailed system analysis and tradeoff evaluations, derive camera and camera system requirements from use cases, and characterize and simulate optical systems to aid the design and validation process.
This role requires working closely with camera HW, product HW, factory test and algorithm design team on future Apple imaging solutions. Additional responsibilities include:
• Develop camera design options based on system requirements and constraints. Perform design studies for imaging system proposals, mapping to system requirements and performance goals.
• Perform and coordinate optical and camera simulation outputs to quantify proposals and designs.
• Develop image metric requirements, and validate them through user studies or computer vision algorithm analysis.
• Allocate requirements to related sub-components, accounting for calibration, hardware tolerances, variations, and reliability. Develop figures of merits, collaborate on factory test and metrology setups.
• Support camera and system design and validation process, failure analysis and triage.

Requirements

BS in Physics, Engineering, Computer Science, Imaging Science or equivalent.
Familiarity with camera technologies and optical science, knowledge in two or more of the following areas: Geometric and diffractive optics fundamentals, Traditional image quality metrics, validation and metrology techniques for imaging, Image sensor and pixel fundamentals, Camera construction and assembly, Computer vision and machine learning fundamentals, Hands on experience with using optical characterization setups for data collection, performing data analysis and automation.
3+ years of industry experience
MS, or PhD in Physics, Engineering, Computer Science, Imaging Science or equivalent
Solid understanding of camera technologies and optical science, strong knowledge in three or more of the following areas: Geometric and diffractive optics fundamentals, Traditional image quality metrics, validation and metrology techniques for imaging, Image sensor and pixel fundamentals, Camera construction and assembly, Computer vision and machine learning fundamentals, Image processing pipeline, including HDR, image fusion, multi-camera registration, etc.
Excellent written skills for clear reporting of data analysis and conclusions.
Strong communication, persuasion and negotiation skills.
Action orientated problem solver.
Comfortable with working through ambiguities.

Benefits

Benefits information not provided in this listing.