Join HID sensing and interaction algorithms team that develops advanced sensing algorithms which enable the best-in-the-world user experiences for Mac, iPhone, iPad, Pencil, Watch, and exciting new products. We are looking for an algorithm engineer who could work well in cross-disciplinary teams over a full product cycle. Our team comes from diverse backgrounds in signal and image processing, statistics, machine learning, controls, physics, firmware and software development, neuroscience, human factors, and more dedicated to inventing new ways of interacting with Apple products and shipping amazing products to millions of users every year. The team operates at the intersection of hardware, software, and design. This means that the wide variety of problems you will solve have many interesting facets and you will get to work with specialists from all across Apple.

DESCRIPTION

We are looking for a Algorithms engineer who can write efficient and scalable C / C++ code to perform signal processing in multiple compute environments. You will work with other algorithm engineers to analyze and validate algorithm prototypes. You will then architect and code the algorithm implementation, often targeting embedded or resource-constrained systems. You will work with system and firmware engineers to integrate your code into the product, but will take special responsibility for the algorithm implementation. You will also help us architect, develop, and optimize data processing and machine learning frameworks. This is a role where you will design, develop, and support high quality, scalable algorithm implementations and data processing pipelines that enable rapid algorithm development, analysis, and implementation for Apple products.

MINIMUM QUALIFICATIONS

• BS and a minimum of 3 years relevant industry experience.
• Programming skills in C/C++ and Python.
• Experience with embedded systems or resource constraint environments for algorithm implementation.

PREFERRED QUALIFICATIONS

• MS (Phd preferred) with 2+ years of experience in developing, optimizing and implementing complex algorithms.
• Experience with object-oriented programming and common design patterns.
• Optimizing and implementing complex algorithms on resource constrained platforms with a background in numerical methods and techniques, especially as relates to stability in real-time DSP algorithms.
• Knowledge of fundamental DSP concepts such as Adaptive filtering, linear algebra, machine learning or statistics.
• Excellent communication, presentation, and documentation skills.

Please refer the Job description for details