The Sensors Division at STR focuses on technology development for advanced sensor systems, particularly in the areas of airborne/surface-based radar, electronic warfare, underwater acoustics, hyperspectral imaging, and EO/IR sensing. Within this role, we perform work on full system prototypes, experiment campaigns and technology component development. Development roles within the Sensors Division include RF analog/digital hardware, acoustic hardware, signal processing algorithms, machine learning algorithms, tracking/fusion, as well as real-time embedded processor implementation. Within the Sensors Division, the Real-time Architectures, Integration and Demonstration (RAID) Group focuses on transition of algorithms from concept to real-time software, providing open architecture expertise, and facilitating integration of capabilities for experimentation, test, and deployment. The RAID Group is seeking a Lead Systems Engineer with demonstrated expertise in Model Based Systems Engineering (MBSE) to help design, develop, implement, test, and maintain real-time software that controls complex hardware systems while complying with open architecture standards. You will work as part of focused teams to transition software products from internally developed and integrated software into production-quality software that can be transitioned to outside integrators for use on their embedded and distributed computing platforms. You will be responsible for developing best practices and automated processes in coordination with software and system engineers to further integrate MBSE into Agile Software development processes. A successful candidate will have experience working on teams that have developed large scale high-performance C/C++ software for sensor systems. Strong understanding of MBSE practices and how they are compatible with real-time systems developed via an Agile process is essential. Experience with open architecture frameworks and standards is highly desired. Strong technical, interpersonal, and communication skills are important for working in collaborative, multi-disciplinary teams.
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Job Type
Full-time
Career Level
Senior
Education Level
Ph.D. or professional degree