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Apple Location Estimation Engineer 
United States, California, Cupertino 
634230343

06.05.2025
  • 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
  • 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
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.