Applied Sensing & Health, Embedded Systems Engineer

Apple • San Diego, CA

6d

About The Position

The Applied Sensing & Health team develops software that powers the next
generation of fitness, safety, and health experiences. We transform complex,
multi-modal sensor data from the iPhone, Apple Watch, and AirPods into
meaningful and elegant insights about our users' health, wellbeing, and safety.
By combining advanced machine learning—including the integration and tuning of
foundation models—with domain knowledge and scientific research, we have
delivered impactful features like Cardio Fitness, Journaling Suggestions, Fall
and Crash Detection, and Walking Steadiness. As a dynamic and highly
multi-disciplinary team working at the intersection of research and product
development, you will have the opportunity to build the next generation of
sensing-based features that will motivate, inform, and inspire millions of
Apple's customers every single day.

You will help ship high-quality, interactive Health, Fitness, and Safety
features that impact millions of Apple Watch, iPhone, and AirPods users. You
have a deep sense of ownership and feel a personal stake in the products you
ship. You are comfortable navigating ambiguity in early-stage development,
demonstrate initiative, and work well under tight deadlines. You build strong,
collaborative relationships with others and are dedicated to a culture of
continuous improvement for yourself, your team, and our products.

Requirements

• Bachelor's in Computer Science, EECS, or equivalent experience
• Developed C/C++, ObjC or Swift code for a shipping product or a peer reviewed environment
• Background in developing, debugging and optimizing algorithms for low-power embedded systems

Nice To Haves

• Masters or PhD in Computer Science, EECS, machine-learning or equivalent experience
• 2+ years of technical experience in an industry setting
• Background in developing deep learning, foundation, and/or generative AI models for multiple data modalities (time series, images, language, etc.)
• Experience collaborating in small teams
• Excellent interpersonal skills and communication (written and verbal)

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 5,001-10,000 employees