Autonomy for the world. Backed by a16z.
About the role
Join Shield AI’s Hivemind SDK State Estimation and Vision team to build the tools that help engineers develop, understand, and validate autonomous navigation systems. You will turn complex sensor data and estimator behavior into reproducible experiments, clear diagnostics, and actionable performance insights.
What they're looking for
- A degree in computer science, robotics, electrical engineering, aerospace engineering, or a related field, or equivalent practical experience
- Strong software engineering skills in Python and modern C++, with the ability to work effectively in both
- Experience building developer tools, data processing pipelines, test infrastructure, or analysis software for robotics, autonomy, computer vision, or a related technical domain
- Working knowledge of linear algebra, probability, 3D geometry, and coordinate transformations
- Familiarity with state estimation concepts such as sensor fusion, filtering, nonlinear optimization, visual odometry, or SLAM
- Ability to work with time-series and sensor data, including timestamps, units, reference frames, missing measurements, and data quality
More about this role
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 .
Join Shield AI’s Hivemind SDK State Estimation and Vision team to build the tools that help engineers develop, understand, and validate autonomous navigation systems. You will turn complex sensor data and estimator behavior into reproducible experiments, clear diagnostics, and actionable performance insights.
Your work will span data ingestion, sensor replay, visualization, calibration workflows, automated evaluation, and regression testing. Working closely with state estimation, vision, simulation, and flight test engineers, you will shorten the path from discovering an issue in real-world data to understanding its cause and validating a fix.
- Build and...
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