Sensing HW - Algorithm Systems Engineer

The Sensing Architecture team develops cutting-edge sensor solutions and technologies that are central to Apple's products, including the iPhone, iPad, MacBooks, and more. The key goal of the Sensing Architecture team is to enable the world's best user experience through seamless device interactions. New challenges arise every day that require the sharp problem-solving skills of talented individuals. The team features a collaborative and hands-on environment that fosters engineering excellence, creativity, and innovation.

You will be responsible for developing advanced sensing algorithms for future Apple products. This will involve algorithm prototyping, algorithm performance bounding and validation, and assessing sensor hardware and performance requirements. You will be designing new sensing algorithm architectures using a variety of techniques such as analytical modeling, ML methods, statistical signals processing, and classical algorithms/optimization methods to characterize and validate system performance. Development and negotiation of cross-functional requirements to ensure subsystem performance will be a key part of the role, and as such you will collaborate closely with Electrical Engineering and Firmware teams to create state-of-the-art sensor solutions.

Minimum requirement of a bachelors degree\nStrong background in image/signal processing, estimation/inference, or machine learning\nStrong engineering math background (e.g. applied linear algebra, probability)\nStrong programming skills in high level languages like Python/Matlab

MS or PhD in Electrical Engineering, Applied Math or Physics \nMulti-disciplinary understanding of EE and Physics principles \nExperience with analyzing large datasets and developing data processing pipelines\nExperience with training/validation for statistical inference or ML/DL algs\nExperience with algorithm optimization for HW constraints (e.g. compute, memory, power)\nExperience with establishing quantitative algorithm performance benchmarks\nExperience with ML frameworks and data processing packages (eg PyTorch, SciPy, pandas, jax)\nExperience in modeling complex cross-disciplinary systems\nExperience in system-level design of imaging or sensing systems\nExcellent written and verbal communication skills