Role overview
Why Apple? We live in a mobile and device driven world where knowledge of the physical world around us is needed. We rely on this knowledge to get around, to learn about our environment and to enable spectacular new features for custom applications. Apple is meeting those needs as robustly and as creatively as possible and is interested in people who want to help meet that commitment. The success we are striving will be the result of very skilled people working in an environment which cultivates creativity, partnership, and thinking of old problems in new ways. If that sounds like the kind of environment that you find intriguing, then let's talk. These elements come together to make Apple an amazing environment for motivated people to do the greatest work of their lives. You will become part of a team that sets the standard in fostering excellence, creativity and innovation. Will you help us design the next generation of revolutionary Apple products? Apple is looking for a world class hands-on engineer to create ideas and concepts for Apple camera products and customer experiences. The Camera Hardware Engineering group is responsible for all research, design, development, test, and qualification of camera hardware for Apple products. The Camera Architecture team is responsible for creating future camera hardware requirements that tie in together with the ISP definitions, power budgets and design requirements. This team is seeking an exceptional engineer with hands-on skills in imaging, computer vision and machine learning. To take ownership of investigations with cross-functional teams. The team environment is very dynamic and fast-paced, it requires excellent passion, creativity, quick-learner with can-do attitude and solid multi-disciplinary engineering background. An ideal candidate has hands-on experience with camera designs, ISPs and software algorithms, image processing, computer vision and computational photography. Background in optics is a plus. Is comfortable with researching implementing and analyzing complex multi-system problems, and deep data-based analysis. Can create quickly prototype solutions using machine learning tools and evaluate trade-offs. The candidate should be able to clearly articulate what motivates a particular approach, and its pros and cons as well as risks. You will have in-depth understanding of modern imaging algorithms, such as HDR, Super resolution, Auto-focus, multi-camera algorithms, etc. This will be extremely useful in order to successfully tie in highly optimized camera hardware solutions with state of the art software providing market leading imaging experience.
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