Senior Software Engineer - Proximity and Context , Sensing & Connectivity

Join our team at Apple and help us build the software for intelligent, spatially-aware customer experiences. We're developing algorithms that understand a user's context -- their location, movement, and device proximity -- to deliver technology that feels seamless and magical. You'll be at the forefront of innovation, designing software that drives intuitive and delightful interactions for Apple's users. Our algorithms help you find your items and friends, check the battery status of your AirPods, unlock your Mac, and set up your new wireless accessories. We also help your loved ones know you made it home safely and protect you against unwanted tracking. We are looking for candidates with outstanding coding skills, a passion for location technologies, machine learning or estimation background, experience in system design and wireless applications, and the ability to leverage generative AI tools for coding and analysis. If this description fits you, please read on.

Description

Our team is looking for a highly-motivated engineer with excellent software development, quantitative reasoning, and communication skills. Candidates need to be very familiar with modern object-oriented programming languages such as C++ or Swift, as well as having an understanding of common design patterns, debugging techniques, and performant code. Experience with wireless sensing, probabilistic estimation, statistical reasoning, embedded platforms, the iOS ecosystem and large codebases are welcome backgrounds.

Minimum Qualifications

5+ years professional experience as a software developer on mobile or embedded platforms
Demonstrable ability to write, debug, and profile software in modern object-oriented languages
Experience with wireless technologies for ranging, location, or sensing
Comfortable developing in Unix-like systems
Capable of navigating, managing, and improving large code bases
Demonstrated use of generative AI tools for software development or data analysis tasks

Preferred Qualifications

Thrives in a fast-paced environment, developing large and complex systems
Background in Bluetooth Low Energy, WiFi, and/or GNSS
Working knowledge of digital signal processing
Working knowledge of probability and statistics
Machine learning or estimation background
Experience applying machine learning to sensor data, signal processing, or location/proximity problems