Senior Software Engineer

1 week ago

San Diego, California, United States Apple Full time $120,000 - $180,000 per year
In Applied Sensing and Health (AS&H), we develop real time algorithms fusing different sensing modalities to infer impactful metrics, detect meaningful events or project enlightening insights, that we present to our users in the clearest and most beautiful way. To cite a few, ASH has built:
VO2max metrics, a state of the art measure of your health level you can find in the Health app...
Fall and Crash detection, features that are saving lives of Apple Watch and iPhone users across the planet...
Journaling Suggestions, a feature that understands how you go about your day and surfaces personalized content you can bootstrap your journaling experience with...
and many more, and even more to come

Description
Our sensing-based features are designed close to the silicon and firmware layers, and span across many platforms. We deliver end to end experiences in health and wellbeing, that require full stack systems software expertise from sensing and algorithms to the user interface. Our North Star is delivering the best possible feature for our customers with strong product definition and data-driven validation. Our software supports the design of data collection and prototyping apps to drive forward the science and development of sensing-based metrics like VO2max, crash detection and more.

As a member of our dynamic group, you will have the unique and rewarding opportunity to shape upcoming products that will delight and inspire millions of Apple's customers every single day. Come be part of the adventure and work on life changing features for our users

Minimum Qualifications
Master's degree or PhD in Computer Science with at least 10 years of experience as software engineer, 5 years in a technical leadership role
Extensive experience with programming languages such as C++, Objective-C, Swift or SwiftUI

Preferred Qualifications
Strong and intuitive understanding of computer science fundamentals, and how to architect complex systems for embedded devices
Effective communication skills, written and verbal, and attention to detail
Prior experience machine learning (e.g. large language models, foundation models, CNNs, Bayesian methods, etc.)
Passion or experience with mentoring other team members
Passion for product definition, user experience, and being the first user for your own features
Prior experience with sensors, sensor fusion, fitness and health technologies is a big plus

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