Teams at Scientific Systems Company, Inc.

Develop and integrate autonomy software for AI-enabled robotics and uncrewed systems. Responsibilities include Agile development, DevSecOps, CI/CD integration, software testing, modeling and simulation, application migrations, documentation, code reviews, architecture design, and integration with DoD-standard interfaces. The role supports autonomy programs, customer interactions, technical requirements alignment, and software development in modern Linux-based environments.

Conduct collaborative research, data analysis, and software engineering for mission autonomy systems involving persistent world modeling, predictive simulation, and adaptive planning. Develop technical proposal content, document research findings, contribute to publications, and support technical and program objectives. The role requires MATLAB, C++, Python, AI/ML and autonomy software library experience, along with simulation and deployment environment expertise. An active U.S. Department of Defense security clearance must be obtained and maintained.

Leads a small engineering team developing mission autonomy software for strategic decision-making, world modeling, predictive simulation, adaptive planning, and adversarial environments. Serves as a technical and customer-facing subject matter expert, leads proposals and programs, integrates edge-platform software, and advances R&D roadmaps. The role involves robotics algorithms, simulation-based validation, classical and machine-learning autonomy, behavior architectures, mission-log analysis, and occasional travel.