What are the responsibilities and job description for the Camera Calibration & Instrumentation Engineer position at Apple?
Apple builds consumer electronics that have touched millions and changed the way people get along with electronic devices around the world. These products have cameras and other optical technologies that need calibration and testing to ensure the customer experience we want to deliver.
The HWTE group is responsible for developing technologies, calibration methodologies, and instrumentation for the calibration and testing of every single Apple product before it leaves the factory. These solutions will be developed during New Product Introduction (NPI) before they are scaled by the operations team. Are you ready for your next adventure?!
The camera team is looking for a calibration & instrumentation engineer to define and develop calibration and test strategies for new camera components. You will be responsible for specification, design, prototyping, validation, and optimization of test metrology and algorithms for camera testing and calibration during Apple’s new product introduction (NPI). You will work in close collaboration with Optical Sensor & Camera Design groups within Apple to ensure the success of the current and future Apple products.
Minimum Qualifications:
BS in EE/CS/CE/Physics/Optics or related technical field
5 years of relevant proven experience
In-depth knowledge of camera/optical system working principles
Experience with camera and optical sensor calibration techniques and metrology
Very strong interpersonal skills with ability to deliver technical and executive-level presentations
Programming experience in C, C , Objective-C, or Python
Preferred Qualifications:
MS in EE/CS/CE/Physics/Optics or related technical field
Experience with driving AI/ML projects
Experience with fabrication and assembly of camera and optical sensors
Experience with computer vision algorithms and image processing
Experience with plotting, processing and mining data
Experience with simulation workflows and synthetic dataset generation
System engineering approach to quickly familiarize yourself with sophisticated processes (example factory infrastructure, mechanical design, algorithms and SW deployment)
Effective in breaking down and prioritizing between many sophisticated tasks