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.\\n\\nOur 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.
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. \n\n
5+ years professional experience as a software developer on mobile or embedded platforms\nDemonstrable ability to write, debug, and profile software in modern object-oriented languages\nExperience with wireless technologies for ranging, location, or sensing\nComfortable developing in Unix-like systems\nCapable of navigating, managing, and improving large code bases\nDemonstrated use of generative AI tools for software development or data analysis tasks
Thrives in a fast-paced environment, developing large and complex systems\nBackground in Bluetooth Low Energy, WiFi, and/or GNSS\nWorking knowledge of digital signal processing\nWorking knowledge of probability and statistics\nMachine learning or estimation background\nExperience applying machine learning to sensor data, signal processing, or location/proximity problems\n
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
- Dice Id: 90733111
- Position Id: 9363ce3535fc27885d4ecc4451ddcd3e
- Posted 30+ days ago
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