Applied Sensing & Health, Embedded Systems Engineer, Sensing & Connectivity

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. In this role, you will implement and ship interactive software features and algorithms that impact millions of users on a daily basis. You will be responsible for optimizing software implementations for power, memory, and performance, especially within the constraints of embedded, low-power systems. Operating at the intersection of software, data engineering, and machine learning, you will collaborate closely with scientists, engineers, QA, and project managers throughout the software lifecycle. 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 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)

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