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Applied Sensing & Health Software Engineer

Apple
Posted 2 months ago, valid for 7 days
Location

Cupertino, CA 95015, US

Salary

Competitive

Contract type

Full Time

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Sonic Summary

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  • Join the Applied Sensing & Health team at Apple to develop innovative software systems for fitness, safety, and health experiences.
  • The role requires a Bachelor's or Master's degree in Computer Science or a related field and at least 3 years of experience working with C/C++, ObjC, or Swift in a shipping product environment.
  • Candidates should have experience with software designs that involve multi-threading, process interactions, and machine boundaries, as well as implementing signal processing and machine learning algorithms.
  • Preferred qualifications include the ability to decompose complex requirements, develop scalable applications, and navigate large codebases.
  • The position offers a competitive salary, reflecting the expertise and experience required for this impactful role.
Join the Applied Sensing & Health team and build the software systems that will enable the next generation of fitness, safety, health experiences. We are a highly multi-disciplinary team and we tackle the most challenging problems in this space. As a member of our team, you will have the unique and rewarding opportunity to shape upcoming products that will motivate and inspire millions of Apple's customers every single day.

Description


The Applied Sensing & Health team delivers Health/Fitness/Safety features for Apple Watch, iPhones and other Apple products. We are looking for software engineers who care deeply about their craft to join our team.

Minimum Qualifications


Bachelor's or Master's degree in Computer Science, EECS, or equivalent experience. Developed C/C++, ObjC or Swift code for a shipping product in a peer reviewed environment. Experience with software designs where logic/behaviors crosses thread, process, and machine boundaries. Implemented signals processing, statistical modeling, and/or machine learning algorithms to run on platforms with limited compute and memory. Employed usage of higher level languages (e.g. python, matlab) and posix utilities to expedite common computing tasks.

Preferred Qualifications


Demonstrated ability to break down complex requirements into orthogonal and independent components for the purpose of building composable software. Experience developing highly scalable applications in a distributed compute/storage platform (e.g. Spark). Objective-C or Swift. Modern Object Oriented Programming idioms. Navigating and understanding large code bases. Deployment of performance machine learning models on portable computing devices.



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