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. Europe, the Middle East, and Asia-Pacific, Shield AI's technology actively supports operations worldwide.

The Hivemind

Pilot group in Hivemind Enterprise org builds algorithms and production platform-agnostic AI/autonomy software that enable teams of edge systems to perceive, reason and act toward achieving mission objectives in complex and dynamic mission environments. As an Autonomy Integration Lead, you will be responsible for bringing together various autonomy components into integrated reference implementations that enable targeted concept of operations, and taking these through software-in-loop and hardware-in-loop verification. Build and maintain stable Pilot integrated implementations, reference configurations, reusable test fixtures, and representative end-to-end examples.

Partner with component teams as they add capabilities to the shared integration environment, maintain the integration baseline, and help resolve gaps in shared workflows, test harnesses, or extensibility. Develop and maintain automated software-in-the-loop and hardware-in-the-loop tests that exercise behavior across autonomy components. Develop and maintain glue layer between mission autonomy software and platform software for easy integration and deployment of the stack.

Support deployment of the integrated autonomy stack to representative hardware, including software configuration, telemetry, interface troubleshooting, and lab or field debugging. Work with the Flight Operations team to define test objectives, prepare integrated software and instrumentation, assess test readiness, support troubleshooting during test events, and analyze integration failures afterward.



Write and maintain setup guides, reference configurations, troubleshooting runbooks, and executable examples.

Contribute technical material to Pilot training.

Projects you might work on: Develop workflows and tooling to enable seamless deployment of autonomy software on edge devices. Bachelor's degree in Computer Science, Robotics, Artificial Intelligence, or equivalent practical experience. Demonstrated experience through professional work, internships, research, or substantial projects building, testing, and debugging nontrivial C++ software for perception, planning, robotics, autonomous systems, or a closely related algorithmic domain.

Experience writing and debugging modern C++, including safe use of common concurrency patterns and the ability to diagnose issues such as data races, deadlocks, and lifetime errors. Working experience with Python for prototyping, analysis, automation, or testing. Strong software engineering fundamentals, including algorithms, data structures, testing, debugging, and maintainable software design. Practical experience developing and debugging software on Linux. Master's degree in AI.

Computer

Science, Robotics or similar. Breadth of experience across the autonomy stack (Perception, Localization and Planning).

Experience applying VLMs or VLAs to planning, reasoning, tool use, or autonomous decision-making.

Experience delivering software for fielded, real-time, safety-critical, or resource-constrained autonomous systems.

Experience with software-in-the-loop or hardware-in-the-loop simulation, performance profiling, or distributed systems. $Full-time regular employee offer package: Temporary employee offer package: Pay within range listed above + temporary benefits package (applicable after 60 days of employment) If you have a disability or special need that requires accommodation, please let us know. If you would like more information about how your data is processed, please contact us.

📌 Senior Staff Engineer, Autonomy Integration Lead (Madrid)
🏢 shieldai
📍 Madrid