Health AI Software Engineer at Apple

Sunnyvale, California, United States -

Full Time

Start Date

Immediate

Expiry Date

10 May, 26

Salary

0.0

Posted On

09 Feb, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Swift, Objective-C, C++, AI, ML, Debugging, User Experience, Collaboration, Systems Thinking, Health Data, Privacy, Security, Cross-Functional, Software Development, Sensor Data, API Definition

Industry

Computers and Electronics Manufacturing

Description

Apple builds products that enrich lives by making powerful technology feel simple, intuitive, and accessible. Through deep integration of hardware, software, services, and design, we deliver end-to-end experiences that fit naturally and seamlessly into everyday life. Nowhere is this mission more vital than in Health, where we have the opportunity to build ambitious features that can change, or even save, lives. We’re looking for software engineers to help us develop ambitious, high-impact features that harness the power of health data, AI, and other enabling technologies to help millions of people live healthier lives—all built on a foundation of uncompromising privacy and security. DESCRIPTION As a Health AI Engineer, you will architect and implement features that bring the power of generative AI to Apple’s health sensors and data to help people improve their health & wellbeing. In this role, you will work across the stack, from the system software that processes sensitive health data to delightful user interfaces that help people live healthier lives. This is a highly cross-functional role, working closely with clinical, design, algorithms, software, privacy, security, performance, and sometimes even HW/Silicon teams across Apple to engineer end-to-end solutions. You will need to work quickly and creatively to help demonstrate the viability of ideas and technologies while building robust, production-ready systems that millions of users will depend on. You will need to be comfortable writing Swift code, evaluating AI/ML algorithms for on-device integration, collaborating on user experience design, debugging complex cross-device interactions, and contributing to a culture of shipping high-quality production code. In addition to software engineering, you will also apply excellent UX intuition to identify and shape experience opportunities, iterate with clinical & design, and define technical requirements that drive development. MINIMUM QUALIFICATIONS BS in Computer Science or related field 2+ years in software development Excellent programming skills in any programming language (preferably at least one of in Swift and/or Objective-C, C++) and strong understanding of data structures, memory management, and concurrency Skilled at debugging and triaging complex software systems, including learning to work with new technologies Systems thinking, including ability to break down ambiguous problems and drive clarity on critical details Strong intuition for user experience + ability to translate customer needs into technical requirements Solid cross-functional collaboration and technical communication skills PREFERRED QUALIFICATIONS Shipping customer-facing features — particularly for health, fitness, or wellness - to production at scale Developing for iOS/MacOS and/or using Apple frameworks like SwiftUI, HealthKit, ResearchKit, or ARKit Developing health or personalization features, including working with clinicians, writing software for Health data / other sensitive datasources, and validating performance/impact over population Building & shipping features using LLMs and/or Machine Learning algorithms, including on-device inference, data-driven validation, requirement definition, and collaboration with algorithm teams Processing sensor data, (e.g. image/video, audio, motion), such as using computer vision or signal processing Developing under strict privacy and security constraints, including techniques like secure data processing, and/or privacy-by-design principles Developing system software or frameworks, including API definition and performance optimization (particularly for resource constrained or real-time systems) Working with distributed systems and modeling data that easily synchronizes across an ecosystem of devices.

Responsibilities

As a Health AI Engineer, you will architect and implement features that leverage generative AI for health data. This role involves working across the software stack and collaborating with various teams to create impactful health solutions.