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Location Estimation Engineer, Sensing & Connectivity

Apple
Posted a month ago, valid for 22 days
Location

Cupertino, CA 95015, US

Salary

Competitive

Contract type

Full Time

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Sonic Summary

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  • The position is for a location estimation engineer at Apple, focusing on developing multi-sensor navigation technology.
  • Candidates are required to have a graduate degree in Engineering, Computer Science, or a related field, or a Bachelor's degree with equivalent experience in positioning and Bayesian estimation.
  • Proficiency in Bayesian estimation concepts, Kalman filtering, C++, and statistical data analysis is essential.
  • The role offers a competitive salary, although the exact figure is not specified in the job description.
  • Preferred qualifications include experience with GPS/GNSS technology and a minimum of several years of relevant experience in the field.
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 people’s 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 customers’ 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 we’ll help you do the best work of your life. If you join our team, you’ll research, design, develop, debug, and support location estimation software. You’ll also collaborate to qualify performance and support commercialization for hundreds of millions of users on multiple hardware families. You’ll 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 Bachelor’s 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



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