Image Scientist - Camera Simulation

Do you love taking on big challenges that require exceptionally creative solutions? Do you deeply understand how an incredible camera experience should work? As part of our Camera Technologies group, you’ll help design the innovative technology that allows each generation of Apple products to produce photos even more incredible than the last. You’ll design and develop groundbreaking ideas for everything involved in our camera systems, from sensor to lens. You’ll collaborate with teams across Apple to research, design, develop, test, and qualify camera hardware for Apple products. Together, we’ll craft a magical photography experience that redefines what millions of customers can expect from their cameras. The Image Sciences team, a part of the Camera Hardware and Depth Team, develops novel metrology, calibration, and simulation processes to enable the implementation and architecture of machine-vision-driven and photographic experiences. We collaborate closely with cross-functional teams to define hardware design specifications and key performance metrics to deliver seamless user experiences. The team is seeking an expert in imaging, computer vision, or rendering with broad skills to help develop next-generation, high-throughput simulation frameworks to guide the design and architecture of products, including AR/VR features.

Description

As an Image Scientist on the Camera & Depth Architecture team, you will design, develop, and maintain high-throughput simulation frameworks to generate large volumes of synthetic imagery on-demand, and build and refine models of camera systems—from sensor to lens—to simulate real-world imaging performance.

Minimum Qualifications

BS in Optics, Physics, Electrical Engineering or related field. Programming experience in at least one of the coding languages: C, C++, Python, or Matlab. Experience with one or more of the following: Optics: imaging system design, Computer Vision, computational imaging, or similar. Experience with algorithms for image quality enhancement.

Preferred Qualifications

MS/PhD degree in Optics, Physics, Electrical Engineering or related field and relevant industry experience in Optics or Image Signal Processing. Experience in project management and/or driving projects independently in ambiguous problem spaces. Published research in imaging, computational photography, or computer vision. Experience with camera sensor physics, noise modeling, or radiometry. Experience with synthetic data generation for ML training pipelines, model optimization and/or deployment, related to imaging and data analyses. Experience with GPU computing (CUDA, OpenCL) or distributed processing at scale.