systemstechnologyresearch · Arlington, VA
Skills: Python, Java, CI/CD
About the Team: STR’s Analytics & C2 (AC2) Division develops novel technologies to solve challenging national security problems through advanced analytics. Our team consists of passionate and motivated individuals with degrees in engineering, computer science, mathematics, physics, and data science. We use our expertise and creativity to develop and mature innovative ideas from conception to improve mission success of our customers. The Collaborative Autonomy and Control (CAC) Group in the AC2 Division works to build software systems that solve critical problems in the areas of uncrewed system autonomy, multi-agent collaboration, resource management, and control. By leveraging expertise in machine learning, algorithms, model-predictive control, and software development we build tools that support tactical mission planning and execution, autonomous reasoning, and more. The Role: As an Autonomy Software Engineer, you will work as part of a tightly knit team to design, develop, implement, integrate, test, and demonstrate advanced algorithms and software systems for autonomous platforms. You will support programs working throughout the software and system development lifecycle, from early prototypes to integrated systems. Your work will develop a diverse set of software tools and applications for mission planning systems, automated control processes, unmanned platforms, DevSecOps, and CI/CD pipelines. This position is based in Woburn, MA, or Arlington, VA, and will take advantage of STR’s flexible, hybrid environment – when the work does not require use of STR’s facilities, you are welcome to work remotely. &nb …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 environment that supports deep technical un…
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