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.
- Bachelors or Masters 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.
- 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.
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. Bachelors or Masters degree in Computer Science EECS or equivalent experience.Develope...
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.
- Bachelors or Masters 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.
- 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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