HID Algorithms Engineer

Join Apple's HID sensing and interaction algorithms team that develops advanced sensing algorithms enabling best-in-class user experiences across Mac, iPhone, iPad, Apple Pencil, Apple Watch, and exciting new products. We are looking for an algorithm engineer who is passionate about bridging algorithm development with software integration and who is excited about bringing AI-powered tools into an engineering workflow. Our team draws from diverse backgrounds: signal processing, machine learning, firmware, software engineering, physics, human factors, and more; all dedicated to inventing new ways users interact with Apple products. You will work at the intersection of hardware, software, and design, collaborating with specialists across Apple to ship extraordinary products to millions of users every year. This is an algorithm engineering role at the HW/SW/UI boundary, with broad collaboration opportunities across firmware, software, and algorithms teams. You will be responsible for rapidly prototyping sensing algorithms using signal processing and machine learning techniques, and integrating algorithm implementations into the software stack, ensuring robust end-to-end functionality from sensor data acquisition through to the software layer. You will work closely with algorithm engineers, firmware engineers, and software teams to bring algorithm prototypes into production-quality integrated systems. In this role, you will also lead efforts to identify, evaluate, and deploy AI tools that improve team productivity, including AI-assisted development, data analysis, and workflow automation. You will help define best practices for AI tool adoption within the group and collaborate cross-functionally to scale these efforts. Prototyping and Developing sensing algorithms and Integrating algorithm implementations with the SW layer, ensuring correctness, performance, and stability across product configurations Working with firmware and software engineers throughout the product lifecycle, from early prototyping through production support Developing and maintaining integration test frameworks and performance metrics to validate algorithm behavior end-to-end Identifying and championing AI tools and developer productivity solutions that can be adopted within the team Evaluating AI-assisted workflows (e.g., code generation, data analysis, automated testing) and driving their integration into team processes Supporting new product form factors and contributing to algorithm integration for new user-facing features Communicating findings, integration status, and tooling recommendations clearly to team members and leadership BS/MS in Computer Science, Electrical Engineering, or related STEM field with a minimum of 2 years of relevant industry experience Strong software programming skills in C, C++, and Python Hands-on experience prototyping, developing and integrating algorithm and signal processing code with software layer (e.g., OS-level frameworks, or application software) Experience with object-oriented programming and common software design patterns Excellent communication, presentation, and documentation skills MS/PhD with 3+ years of experience in algorithm integration or embedded/software systems Experience working at the HW/SW interface, including familiarity with firmware interfaces, driver layers, or OS-level integration Proven track-record in signal processing and machine learning, including areas such as time-series analysis, digital filtering, feature extraction, classification, regression, or neural network-based inference; experience applying these techniques to sensor data or embedded sensing systems is a strong plus Track record of evaluating, integrating and deploying AI-powered developer tools (e.g., LLM-assisted coding, AI-based test generation, intelligent data analysis pipelines) Background in signal processing, machine learning, or time-series data analysis Familiarity with embedded or resource-constrained systems using C or C++ Familiarity with cloud processing platforms such as AWS or GCP Strong cross-functional collaboration skills with the ability to work effectively across firmware, software, and algorithms disciplines