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Computational Imaging & Machine Vision Engineer

Apple, Inc.
United States, California, Cupertino
November 26, 2022
Summary Posted: Jun 23, 2022 Role Number: 200394913 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? The Image Science team, a subgroup of Camera Hardware & Depth, develops novel calibration, simulation and metrology processes to enable both machine-vision-driven and photographic experiences, delivering multi-camera calibration as used in Portrait Mode, Cinematic Video, and many other flagship features, as well as shaping feature specifications for future use cases and hardware. The team is seeking a camera systems engineer with a diverse skillset to develop high-volume calibration software enabling AR/VR features, amongst others, and physics-based methodologies for informing the design and architecture of next-generation hardware products and software features. Key Qualifications Expertise with lens-based imaging systems and camera calibration methods Expertise with computational imaging algorithms, computer vision and image processing Experience with projective geometry, geometric imaging optics and multi-camera epipolar geometry Experience with numerical methods, applied mathematics and statistics Experience with loss function selection for computer vision and computational photography applications Experience with Machine Learning techniques and familiarity with deep learning frameworks (e.g. Pytorch, JAX, TensorFlow) Expertise with scripting languages (e.g. Python, MATLAB) Experience with C/C++ programming languages Ability to learn quickly and think deeply across various technical areas Ability to collaborate, communicate and lead across groups; excellent interpersonal skills. Description 1. Defining and delivering camera calibration roadmap and test strategy based on systems architecture, feature requirements and statistical analyses, 2. Simulating and modelling imaging optics and projective geometry to define use case specifications and camera calibration and modelling requirements, 3. Physics-based camera algorithm and software development, packaging and cloud deployment, 4. Characterizing end-to-end (hardware and software) performance of features through simulation studies, 5. Frequent collaboration with cross-functional teams in software, firmware, test engineering and operations; skillfully exerting influence in areas outside of sphere of control, 6. Managing project deliverables and schedules to meet commitments to product development teams. Education & Experience MS/PhD in a relevant field (EE, CS, Physics, Optics, Image Science or Applied Mathematics). Additional Requirements