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