Apple AR/VR Job | Simulation Engineer — Camera Hardware
Job（岗位）: Simulation Engineer — Camera Hardware
Citys（岗位城市）: Santa Clara Valley (Cupertino), California, United States
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.
Strong programming background in C/C++
Experience with at least one of the following GPU APIs : Cuda, OpenCL, Metal, Vulkan, OpenGL, DirectX
Experience with one or more of the following:
(Preferred) Rendering engines: Unreal-Engine, Unity, Blender, V-Ray, Mitsuba or similar,
Image processing: NeRF, image-generative networks, computer vision, or related topics
Optics: imaging system design, lens design, computational imaging, or similar
Experience in the following is a plus: Halide, Python, Linux, continuous integration/deployment, Docker, CMake
– Develop GPU-based image simulation pipelines including models for optics, sensor, and ISP.
– Develop and maintain tools to generate large volumes of synthetic images on-demand.
– Characterize end-to-end (hardware and software) performance of features through simulation studies.
– Develop differentiable models for optics and sensors to train and optimize machine vision algorithms.
– Manage project deliverables and schedules to meet commitments to product development teams.