Shieldai
About Shield AI
Founded in 2015, Shield AI is a venture-backed deep-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include the V-BAT and X-BAT aircraft, Hivemind Enterprise, and the Hivemind Vision product lines. With nine offices and facilities across the U.S., Europe, the Middle East, and the Asia-Pacific, Shield AI’s technology actively supports operations worldwide.
Job Summary
Shield AI’s Hivemind autonomy team is developing next‑generation multi‑target tracking and sensor fusion capabilities that enable resilient, mission‑ready autonomous systems. We are seeking engineers—from experienced senior contributors through subject matter experts—to design, implement, and deploy the tracking stack that powers Hivemind Pilot across all domains and platforms.
Key Responsibilities
- Research, design, and implement state‑of‑the‑art multi‑target tracking and data association algorithms.
- Develop production‑quality C++ software for deployed military aviation platforms, ensuring deterministic, real‑time performance.
- Build and maintain comprehensive unit, integration, and system‑level tests validating algorithm correctness and robustness.
- Enhance and calibrate sensor models within advanced simulation and HWIL environments.
- Collaborate on feature planning, decomposition, and milestone execution within an agile development framework.
- Contribute to flight‑test planning, performance analysis, benchmarking, and regression evaluation.
- (Principal-level applicants) Provide technical leadership, design reviews, algorithmic mentorship, and subject‑matter expertise across the autonomy organization.
Requirements
- Strong to expert proficiency in modern C++ (C++11 or newer) and object‑oriented design principles.
- Professional experience deploying C++ software into embedded or real‑time systems, ideally for DoD or aerospace applications.
- Hands‑on experience designing and implementing state estimation algorithms (e.g., KF, EKF, UKF, ESKF) for real‑world systems.
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