Location Technology Systems Engineer

* Design, simulate, and develop location system algorithms and architectures spanning multiple positioning technologies

* Perform system-level modeling, performance prediction, and tradeoff analysis across accuracy, robustness, latency, power, and scalability

* Develop and optimize algorithms for multi-sensor and multi-technology fusion, combining information from GNSS, inertial sensors, terrestrial signals, and vision-based inputs

* Analyze and mitigate location error sources, including signal propagation effects, multipath, interference, sensor noise, and receiver implementation limitations

* Collaborate closely with algorithm, software, hardware, and product teams to drive implementation, integration, and commercialization of location technologies

* Support bring-up, validation, and performance analysis using real-world data across diverse environments (indoor, outdoor, urban, and challenging conditions)

* Strong background in location systems, navigation, or related fields

* Solid understanding of estimation theory and probabilistic state estimation, including Kalman filtering or related techniques

* Proficiency in Python for algorithm development, modeling, data analysis, and performance evaluation

* Ability to work across disciplines and communicate complex technical concepts effectively

* Experience with multi-constellation muti-frequencies GNSS positioning

* Experience with terrestrial positioning technologies, such as cellular-based positioning, Wi-Fi positioning, or other radio-based ranging and fingerprinting approaches

* Familiarity with vision- or camera-based positioning, including visual odometry, visual-inertial navigation, or feature-based localization concepts

* Experience with multi-sensor fusion and system-level algorithm development

* Experience applying machine learning techniques, such as learning-based modeling, classification, regression, or data-driven performance enhancement

* Background in signal processing, sensor modeling, and large-scale data analysis

* Experience taking algorithms from research or prototyping into product-quality implementations

- Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 2+ years of Systems Engineering or related work experience.

Master's degree in Engineering, Information Systems, Computer Science, or related field and 1+ year of Systems Engineering or related work experience.

PhD in Engineering, Information Systems, Computer Science, or related field.