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Design, implement, and validate automated manufacturing and test systems. Improve OEE and reliability, integrate automation with ERP/MES, build OEE dashboards and predictive maintenance, prototype robotics solutions, standardize architectures, and train technical staff.

Design and implement GNC and mission/path-planning algorithms for multi-agent autonomous systems, build scalable backend integrations, run simulation validation campaigns, and collaborate with AI/ML, backend, and product teams to deliver production-ready autonomy.

Design and implement GNC, sensor fusion, and control systems for UAVs; run simulations and flight testing; analyze flight data; integrate GNSS/INS/IMU and maintain flight computers across platforms.

Design, build, and maintain internal tools, AI/LLM-powered agents, dashboards, and lightweight backend services. Streamline operational workflows, integrate systems, support cloud deployment and CI/CD, and ensure code quality, observability, and reliability.

Lead system architecture, definition, and implementation for a robotic system from concept through field deployment. Coordinate multidisciplinary teams, perform trade-off analyses and system-level simulations, oversee integration, prototyping, and validation, drive design reviews, and improve requirements traceability and validation workflows to ensure system performance, robustness, and reliability.

Develop and optimize computer vision and ML algorithms for robotics/aerospace projects. Prepare and curate datasets, build training pipelines, deploy production-ready models, validate performance in real environments, and collaborate with software and simulation teams.

Develop and optimize a QGroundControl-based Android control station using C++/Qt; integrate physical controls and hardware; port and maintain app across Android versions; manage deployments; collaborate with embedded, electronics, and QA teams for field validation.

The Computer Vision Engineer will conduct research, develop algorithms, deploy models, and collaborate across teams to enhance autonomous defense systems.

As an FPGA Engineer, you'll lead FPGA architecture and designs for signal processing, perform system analysis, validate designs, and collaborate with hardware teams to ensure integration with real-time systems.

The Senior Product Marketing Content Manager will create authoritative marketing content on advanced defense technologies for government and industry partners, ensuring effective communication and product positioning.