Software Engineer - Systems

Summary

The Applied Sensing & Health team creates features that use on-device sensing from iPhone, Apple Watch, AirPods and beyond to generate meaningful insights about your health, wellbeing and safety. From cardio fitness algorithms that track your health as you exercise, to crash detection systems that save lives, to journaling suggestions that understand your daily patterns, we transform complex multi-modal sensor data into elegant experiences for millions worldwide. Join us to pioneer the next generation of sensing-based features that will delight and inspire Apple's customers every single day.

Description

You have a deep sense of ownership and are committed to shipping high-quality, impactful features for millions of users. You are comfortable navigating ambiguity in early-stage feature development and can proactively define paths forward. You build strong, collaborative relationships with cross-functional partners and are dedicated to a culture of continuous improvement for yourself, your team, and our products.

Responsibilities

• In this role, you will architect and implement health features across iOS, watchOS, and macOS, guiding them from initial concept to shipping product. This involves developing and implementing sensor fusion algorithms using sensors such as accelerometers, gyroscopes, heart rate, and others to power new health & wellbeing experiences. A critical part of your work will be collecting high-quality data for development, and later, validating and optimizing algorithm performance on-device to meet strict power, memory, and privacy requirements.

Minimum Qualifications

• Bachelor's degree in Computer Science, Electrical Engineering, or related technical fields
• Strong proficiency in one of C++, Objective-C or Swift languages
• Solid understanding of performance optimization, memory management, and power-efficient programming
• Strong presentation skills and ability to explain complex software concepts to health, research, and clinical professionals

Preferred Qualifications

• Experience collaborating with cross-functional teams and communicating technical concepts to non-technical stakeholders
• Mobile app development experience (iOS, watchOS, SwiftUI)
• Background in digital signal processing (DSP) and time-series analysis, particularly for biometric or inertial sensor data.
• Relevant experience within health domains (including work with SaMD or regulatory products)
• Proficiency with Python data analysis libraries (matplotlib, pandas, numpy)
• Experience with machine learning technologies and algorithm implementation