Location Estimation Engineer, Sensing & Connectivity

What you'll do

• Research, design, develop, debug, and support location estimation software.
• Implement complex mathematical algorithms for multi-sensor navigation technology.
• Apply Bayesian estimation concepts and Kalman filtering to improve positioning accuracy.
• Perform statistical data analysis to enhance location-aware mobile experiences.
• Qualify performance and support commercialization across multiple hardware families.
• Integrate GPS, GNSS, inertial navigation systems, and visual localization technologies.
• Support internal and external customers by integrating location features into their applications.

What we're looking for

• Graduate degree in Engineering, Computer Science, or a related field is required, or a Bachelor's degree with equivalent experience.
• Proficiency in Bayesian estimation concepts and Kalman filtering is required.
• Proficiency in statistics concepts and statistical data analysis is required.
• Proficiency in C++ programming is required.
• Familiarity with modern object-oriented programming concepts and design patterns is required.
• Proficiency in GPS, GNSS, and radionavigation theory and technology is preferred.
• Experience with inertial navigation systems, visual localization, or other positioning techniques is preferred.
• Familiarity with machine learning and implementing complex mathematical algorithms is preferred.