Breadth and depth in the application of mathematics to perform data analysis and algorithm development for missile tracking applications. Development and performance analysis of tracking and state estimation algorithms. Tool and prototype development using Modern C++ and Python. Algorithm defect tracking and resolution. Technical Documentation as required. Work in cross-discipline teams and communicate clearly across various levels of engineers. Algorithm Software Engineer (Level 2):

Bachelor's Degree in a STEM (Science, Technology, Engineering or Mathematics) discipline preferred from an accredited university and 2 years of related experience or a Master's degree in a STEM discipline. Principal Algorithm Software Engineer (Level 3):

Bachelor's Degree in a STEM (Science, Technology, Engineering or Mathematics) discipline preferred from an accredited university and 5 years of related experience, or a Master's degree in a STEM discipline and 3 years of experience, or a PhD and 1 year of experience. Applicants must have a minimum of 1 year of software development experience with Python and/or C++. Applicants must have Linux experience and working knowledge of common utilities like grep, awk, cat head, etc. Experience developing, analyzing, testing, and implementing extendable / reusable algorithms. Applicants must have algorithm design and state estimation experience. Experience with data analysis - Population statistics and trend identification. The ability to bridge between theoretical concepts and practical implementation. Ability and willingness to travel up-to 10% to support business needs. Applicants must have a current active in-scope U.S. Government DoD issued Secret security clearance at the time of application which is required to start; with the ability to obtain and maintain a TS/SCI clearance. A current active in-scope U.S. Government DoD issued Top Secret security clearance. Strong statistical background and skills. Experience in tracking and prediction algorithms, simulation, and validation. Experience with multiple hypothesis tracking. Experience in the numerical implementation of motion filters. Familiarity with Overhead Persistent Infrared (OPIR) and Electro-Optical Infrared (EOIR) sensors and simulations is a plus.