Senior Engineer, Research-to-Product Perception (R6022)

Shield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software, V-BAT and X-BAT aircraft, and Aechelon simulation and synthetic reality technologies. With offices and facilities across the U.S., Europe, the Middle East, and Asia-Pacific, Shield AI’s technology actively supports operations worldwide. For more information, visit www.shield.ai. Follow Shield AI on LinkedIn, X, Instagram, and YouTube.

Job Description: Shield AI's Hivemind Detection, Tracking, and Mapping (DTM) team develops perception capabilities that allow autonomous systems to understand objects, motion, sensors, and terrain across air, maritime, and ground domains. We are seeking a Staff Engineer to develop these capabilities from algorithms and production C++ libraries through integration, verification, and delivery in the Hivemind SDK. This is a full-stack perception product-development role. You will bring depth in at least one core area such as object detection, object tracking, computer vision, image processing, sensor modeling, or sensor fusion, and work comfortably across adjacent parts of the stack. You will help turn prototypes, research, and partner-developed technology into reusable, configurable, well-tested product capabilities.

Evaluate emerging models and methods against representative sensor data and autonomy needs. Build prototypes and experiments that reveal strengths, limitations, and practical deployment opportunities. Combine learned and classical approaches to improve detection, tracking, geometric vision, or sensor fusion. Optimize and integrate capabilities for edge deployment, contributing Python and C++ software with support from experienced product engineers. Help deliver tested, documented capabilities and stay involved as other teams adopt them.

A PhD in computer vision, machine learning (ML/DL), robotics, or a related field, or an equivalent record of advanced research and hands-on engineering. Research depth in an area such as multimodal vision, visual foundation models, video understanding, open-vocabulary perception, or embodied learning. Strong Python skills and experience with PyTorch or a comparable ML framework. A thoughtful approach to experiments, evaluation data, and understanding why models fail. Experience building substantial research software, an interest in developing production-quality C++, and a collaborative approach to solving problems.

Experience bringing a research prototype into sustained use. Experience with robotics, real sensors, temporal data, or multi-sensor perception. Familiarity with vision-language models, vision-language-action models, or embodied AI. Experience with C++, edge inference, or model optimization using tools such as ONNX, TensorRT, or CUDA. You don’t need to meet every preferred qualification or arrive as an expert C++ engineer. We welcome recent PhD graduates and early-career researchers, and we value technical depth, curiosity, and enthusiasm to transfer research to business value more than publication count alone.

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