**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
