c2-systems jobs in San Diego

This Systems Engineer role involves designing, integrating, implementing, and testing complex systems and systems-of-systems architectures in support of defense and tactical command-and-control missions. The candidate will define technical requirements, perform data analysis across multiple sources, develop technical documentation, and support cross-functional engineering teams.…See more The position requires 5–8 years of systems engineering or technical integration experience, with strong analytical and problem-solving skills, and an active Secret clearance.

The System Administrator Expeditionary Systems (OpAI) will maintain and integrate AI capabilities into Naval expeditionary systems, including sensor kits, unmanned systems, C2 platforms, and TAK. Daily responsibilities span hands-on troubleshooting of network connectivity and Linux systems, updating edge servers, testing machine learning capabilities, and ensuring high-quality data flow between tactical systems.…See more The role requires 3+ years of experience in system administration, data engineering, or related fields, with intermediate Linux proficiency, familiarity with edge servers and containerization (Docker, Kubernetes), and experience with tactical data pipelines. The successful candidate will collaborate with engineers, ML specialists, and data teams to integrate cutting-edge AI solutions while supporting operational forces.

Lead technical delivery of complex autonomy capabilities for Shield AI's V-BAT and X-BAT unmanned aircraft platforms, spanning mission autonomy, payload integration, flight-control interfaces, and multi-agent behaviors. Own end-to-end integration from architecture through field deployment, coordinate across Aircraft, Autonomy Capabilities, Perception, and GCS teams, and drive mission readiness for customer releases.…See more Mentor engineers, improve engineering practices, and serve as primary technical partner to the Aircraft team on integration approaches and interface design. Requires 7+ years of relevant experience, expert C++ and Linux development, and deep expertise in complex autonomy systems or embedded systems integration.