
location_on602, Santa Catalina Terrace, Sunnyvale, Santa Clara County, California, 94085, United States
The Apple Camera Architecture team drives future camera hardware requirements and definitions for an exciting range of products. We initiate and foster deep collaboration across all cross-functional teams to deliver final camera performance and features, spanning from the hardware level to user-facing applications. Our mission is to successfully tie highly optimized camera hardware solutions with state-of-the-art software to provide market-leading imaging experiences.
As a Camera Architect, you will serve as a leader who performs detailed system analysis and tradeoff evaluations. You will derive camera and system requirements from real-world use cases and characterize optical systems to aid the design and validation process. Working closely with camera hardware, product hardware, algorithm, and software teams, you will develop camera design options based on system requirements and constraints.
Your day-to-day involves performing design studies for imaging system proposals, mapping them to performance goals, and coordinating optical and camera simulation outputs to quantify designs. You will develop image quality metrics and requirements, validating them through computer vision algorithms and user studies. Additionally, you will allocate requirements to sub-components while accounting for calibration, hardware tolerances, variations, and reliability, while collaborating on factory test and metrology setups.
Candidates are expected to demonstrate the ability to communicate and collaborate with cross-functional partners to recommend solutions and influence product decisions at the leadership level. The role requires a candidate who can effectively bridge the gap between technical optical science and product goals.
Work model: On-site
602, Santa Catalina Terrace, Sunnyvale, Santa Clara County, California, 94085, United States
Sunnyvale, California
Skills: Optics, Camera Calibration, Computer Vision, Image Quality Metrics, Image Sensor, Pixel Fundamentals, Image Processing Pipeline.
Education: PhD in Physics, Engineering, Computer Science, or Imaging Science.
MS or PhD in Physics, Engineering, Computer Science, Imaging Science or equivalent.