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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.
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.
Design and implement production perception capabilities in modern C++, with emphasis on clear interfaces, correctness, performance, maintainability, and automated test coverage.
Own features across the development lifecycle: clarify requirements, evaluate technical approaches, develop algorithms and libraries, integrate them into the Pilot runtime, and carry them through SDK validation, documentation, and release readiness.
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Contribute deep technical judgment in one or more DTM areas, including object detection, object tracking, computer vision, image processing, sensor and measurement modeling, mapping, or multi-sensor fusion.
Work across adjacent layers such as sensor data contracts, coordinate frames, timing, configuration, simulation, replay, analyzers, embedded deployment, and end-to-end perception workflows.
Diagnose difficult system behavior using source code, logs, recorded sensor data, simulation, and focused experiments; drive issues from symptom through root cause, corrective action, and regression coverage.
Participate in design reviews and code reviews, communicate technical tradeoffs concisely, mentor other engineers, and help improve the architecture and engineering practices of the DTM stack.
Use modern AI-assisted engineering tools effectively while remaining accountable for the design, technical accuracy, security, test coverage, and reviewability of the resulting work.
Evaluate how emerging foundation-model capabilities may strengthen detection, tracking, image understanding, simulation, and perception workflows, and help identify practical paths from promising technology to dependable product capability.
Developer of AI-powered autonomous systems for defense and aerospace.
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Senior · 5+ years experience
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