Responsibilities Design and prototype algorithms for processing and fusing raw sensor data to increase tracking performance and resilience Define and enhance key performance metrics for processed data and positioning tracking such as precision, accuracy, range, noise level, and output data rate Design and automate experiments to verify the performance of algorithm and hardware combinations Perform statistical and geometric analysis on raw sensor data to determine ideal software and hardware configurations Develop and model non-ideal behaviors of physical systems for precision measurements Explore and develop new technologies as part of the core R&D team Qualifications Proficient in C, C++, and Python for data processing, modeling, and simulations Experience in signal processing algorithm design of real-time time series data Experience with machine learning frameworks such as TensorFlow or PyTorch Experience in designing and implementing real-time optimization algorithms, including linear and nonlinear solvers Experience in working with coordinate and pose transformations Strong foundation in linear algebra, physics and electromagnetics In-depth knowledge of deterministic, statistical signal processing and optimization techniques Nice to haves Experience modeling real-sensor systems in adverse conditions Experience with machine learning techniques for data analysis and algorithm development Experience in microsecond to millisecond scale real-time algorithm developments Expertise in 3D tracking systems such as optical and EM based systems Location Working location is flexible with opportunities for hybrid or fully remote Salary & Benefits $110,000 - $165,000 PTO Equity Medical, Dental & Vision 401K & 401K Matching