Location Estimation Engineer, Sensing & Connectivity

Weekly Hours: 40 Role Number: 200610825-0836 Summary Develop and improve multi-sensor navigation technology as a location estimation engineer. Craft the next generation of location-aware mobile experiences by working on state-of-the-art technologies to seamlessly integrate peopleu2019s digital and physical lives. Are you passionate about building technology that will make a difference? Do you flourish with good creative challenges? Do you love attention to detail? If so, we might just be the team for you. Description Here at Apple, we build devices and services that enrich our customersu2019 lives. In the location technologies group, we help people connect: with each other, and with our planet. We reach more than a billion people. We help them find their way, and we help them find each other. We help them stay healthy, and sometimes we even save their lives. What we do and how we do it makes a difference. Join our team, and weu2019ll help you do the best work of your life.If you join our team, youu2019ll research, design, develop, debug, and support location estimation software. Youu2019ll also collaborate to qualify performance and support commercialization for hundreds of millions of users on multiple hardware families. Youu2019ll work with customers of location, both internal and external, to make best use of your work to support their applications. Minimum Qualifications + Graduate degree in Engineering, Computer Science or a related field or a Bacheloru2019s degree with equivalent experience in positioning and Bayesian estimation. + Proficient in Bayesian estimation concepts and Kalman filtering + Proficient in statistics concepts and statistical data analysis + Proficient in C++ Familiar with modern object-oriented programming concepts and design patterns Preferred Qualifications + Interested in location technologies and eager to experiment with state-of-the-art techniques + Good collaborator and communicator + Proficient in GPS / GNSS / radionavigation theory and technology + Experience with inertial navigation systems, visual localization, or other positioning techniques + Familiarity with machine learning + Comfortable implementing complex mathematical algorithms Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant (.

Created: 2026-04-04