Sensing HW - Algorithm Systems Engineer

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. Develop Algorithm Proof-of-Concepts: Conduct algorithm prototyping, performance bounding, and validation. Leverage a variety of techniques such as analytical modeling, physics fundamentals, statistical signals processing, and ML/classical algorithm and optimization methods to characterize and validate system performance. Contribute to the development of the the team’s software toolchains and methodologies used for algorithm development. Define Algorithm Requirements: Define sensor/HW and algorithm performance requirements needed for algorithms to be successfully deployed in upcoming products. Cross-Functional Collaboration: Develop and negotiate cross-functional requirements to ensure algorithm performance. Collaborate closely with Electrical Engineering and Firmware teams to create state-of-the-art sensor solutions. Minimum requirement of a bachelors degree Strong background in image/signal processing, estimation/inference, or machine learning Strong engineering math background (e.g. applied linear algebra, probability) Strong programming skills in high level languages like Python/Matlab MS or PhD in Electrical Engineering, Applied Math or Physics Multi-disciplinary understanding of EE and Physics principles Experience with analyzing large datasets and developing data processing pipelines Experience with training/validation for statistical inference or ML/DL algs Experience with algorithm optimization for HW constraints (e.g. compute, memory, power) Experience with establishing quantitative algorithm performance benchmarks Experience with ML frameworks and data processing packages (eg PyTorch, SciPy, pandas, jax) Experience in modeling complex cross-disciplinary systems Experience in system-level design of imaging or sensing systems Excellent written and verbal communication skills

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