Job Overview:
As a Senior Software Engineer in Apple’s Applied Sensing and Health (AS&H) team, you will develop real-time algorithms that fuse different sensing modalities to infer impactful metrics, detect meaningful events, and project enlightening insights for users. Your role includes architecting, implementing, and maintaining user experiences across platforms, working closely with scientists, engineers, QA, and project managers throughout the software lifecycle. You will also design APIs to expose metrics to third-party developers or internal teams, collaborating on large projects with other software engineers and functions like human design, hardware sensing, and AI/ML. The position requires a Master’s degree or PhD in Computer Science with at least 10 years of experience, including 5 years in a technical leadership role, and extensive experience with programming languages such as C++, Objective-C, Swift, or SwiftUI. A strong background in machine learning, sensor fusion, and embedded systems is highly preferred, along with a passion for product definition and user experience.
>> View full job details on Apple’s official website.
Resume and Interview Tips:
When tailoring your resume for this Senior Software Engineer position at Apple, focus on highlighting your extensive experience in real-time algorithm development and sensor fusion technologies. Emphasize your technical leadership roles, particularly those involving complex system architecture for embedded devices. Showcase your proficiency in programming languages like C++, Objective-C, Swift, or SwiftUI, and detail any projects where you’ve applied machine learning techniques such as large language models, CNNs, or Bayesian methods. If you have experience with sensors, sensor fusion, or health technologies, make sure to include these as they are a significant plus. Your resume should also reflect your ability to work collaboratively across teams, your passion for product definition, and your commitment to delivering high-quality user experiences. Quantify your achievements where possible, such as the impact of features you’ve shipped or the scale of projects you’ve led.
During the interview, expect to discuss your technical expertise in depth, particularly your experience with real-time algorithms, sensor fusion, and embedded systems. Be prepared to walk through your approach to architecting complex systems and how you’ve applied machine learning in past projects. The interviewer will likely assess your problem-solving skills and your ability to thrive in uncertainty, so have examples ready where you’ve brought order to ambiguous situations. Communication is key, so practice explaining technical concepts clearly and concisely. You may also be asked about your experience mentoring team members and collaborating with cross-functional teams. Finally, demonstrate your passion for product definition and user experience by discussing how you’ve been the first user of your own features and how you’ve iterated based on feedback. Dress professionally but comfortably, as the interview may involve technical whiteboarding or coding exercises.