Software Engineer, Applied Sensing & Health

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
• Minimum 3 years of professional software development experience
• Strong proficiency in one of C++, Objective-C or Swift languages
• Solid understanding of performance optimization, memory management, and power-efficient programming

Preferred Qualifications

• Strong presentation skills and ability to explain complex software concepts to health, research, and clinical professionals
• 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 frameworks and algorithm implementation

Pay & Benefits At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $147,400 and $272,100, and your base pay will depend on your skills, qualifications, experience, and location.

Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits.

Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.

Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant .