Location Estimation Engineer
- 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
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