systemstechnologyresearch · Woburn, MA
Skills: Python, Java, Docker
About the Team STR’s Analytics and C2 Division researches and develops novel technologies to solve challenging national security problems through advanced analytics. Our team consists of passionate and motivated engineers and scientists with advanced degrees in engineering, computer science, mathematics, physics, and data science. We use our expertise and creativity to take innovative ideas from conception to mature implementation to improve mission success of our customers. The Signals Exploitation and Tracking (SET) Group in the Analytics and C2 Division focuses on applying machine learning, statistics, estimation theory, and information theory algorithms for signals exploitation, target tracking, predictive analytics, and system resource management. The Role As a Software Engineer at STR, you will help develop disruptive technologies focused on estimation theory, prediction and system resource management. You will design and implement flexible software solutions and collaborate with multi-disciplinary project teams. You will provide high-impact, unique solutions for our customers’ most important problems. We are looking for someone to join our team onsite as this position is based primarily in the Woburn, MA office. Who you are: Active Top Secret Clearance Required with SCI eligibility, for which U.S citizenship is needed by the U.S government BS + 2 years, Master's Degree, or equivalent experience Proficient in writing maintainable, well documented code and APIs Able to work and collaborate on multi-disciplinary teams Experience using Linux Expertise using C++, Python, and Java Experience with container-based software (e.g. Docker, Kuberne …truncated… nt for defense, intelligence, and national security in: cyber; next generation sensors, radar, sonar, communications, and electronic warfare; and artificial intelligence algorithms and analytics to make sense of the complexity that is exploding around us. STR is committed to creating a collaborative learning enviro…
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