Scientific Systems Company, Inc.
Jobs at Scientific Systems Company, Inc.
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Artificial Intelligence • Computer Vision • Machine Learning • Defense
Leads a small engineering team developing mission autonomy solutions for strategic decision-making, world modeling, predictive simulation, and adaptive planning. Serves as an autonomy subject matter expert, leads proposals and programs, manages milestones, and handles customer interactions. Builds and integrates edge-platform software using C/C++, Python, and related languages; applies robotics algorithms and simulation tools for validation and training. Requires occasional travel and the ability to obtain and maintain a U.S. Department of Defense security clearance.
Artificial Intelligence • Computer Vision • Machine Learning • Defense
Develop and test production-quality autonomy software for embedded uncrewed multi-vehicle systems and autonomous flight in complex environments. Responsibilities include software architecture, AI/ML and robotic planning integration, unified software architecture development, system integration, technical presentations, and collaboration with multidisciplinary engineering teams. The role may involve occasional travel to remote test events and requires obtaining and maintaining a U.S. Department of Defense security clearance.
Artificial Intelligence • Computer Vision • Machine Learning • Defense
Develop and test production-quality autonomy software for embedded, multi-vehicle autonomous flight systems and crewed-uncrewed collaboration. Responsibilities include architecting software for complex environments, integrating existing systems into unified architectures, applying AI/ML and robotic planning techniques, and presenting technical results. The role requires collaboration across autonomy, vehicle systems, and systems engineering teams, occasional travel to remote test events, and the ability to obtain and maintain a U.S. DoD security clearance.
Artificial Intelligence • Computer Vision • Machine Learning • Defense
Develop and document complex autonomy-system architectures using MBSE, SysML, DoDAF, and service-oriented patterns. Establish modeling standards, ontologies, traceability, and toolchain workflows; integrate systems models and verification activities into CI/CD pipelines. Facilitate architecture sessions, support distributed implementations and multi-system integration, and collaborate with software, platform, and integration teams in DevOps environments. Communicate architectural concepts and maintain alignment across technical baselines and program milestones.
Artificial Intelligence • Computer Vision • Machine Learning • Defense
Lead a small engineering team developing and integrating mission autonomy software for Group 3–5 unmanned aerial systems. Responsibilities include autonomy technology leadership, edge-platform software integration, robotics algorithm development, simulation-based validation, proposal and contract support, program milestone management, customer interaction, and R&D roadmap collaboration. The role requires occasional travel and the ability to obtain and maintain a U.S. Department of Defense security clearance.
Artificial Intelligence • Computer Vision • Machine Learning • Defense
Develops architectures, requirements, interfaces, models, and performance metrics for autonomous and uncrewed systems. Leads MBSE efforts using SysML tools such as Cameo/MagicDraw, supports system design reviews, and performs system integration, testing, modeling, simulation, and analysis with tools such as AFSIM. Acts as a customer-facing architecture liaison, contributes to proposals, and supports aerospace and Department of Defense systems engineering processes. Requires approximately 15% travel and the ability to obtain and maintain an active U.S. DoD security clearance.
3 Months AgoSaved
Artificial Intelligence • Computer Vision • Machine Learning • Defense
Develop and maintain modeling and simulation infrastructure to test multi-vehicle autonomy in operational scenarios. Design, implement, simulate, and validate autonomy software (MIL/SIL/digital twin/LVC) using C/C++ and Python on large-scale HPC/distributed simulation environments. Present technical results and support customer engagements; occasional travel and security clearance required.
Artificial Intelligence • Computer Vision • Machine Learning • Defense
Design, implement, test, and debug software for robotics/autonomy and related systems. Produce documentation, communicate technical results to stakeholders, resolve issues via testing and troubleshooting, and stay current with industry best practices. Support integration teams and may travel occasionally; must obtain and maintain US DoD security clearance.
