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.

This position is adecuado for an individual who thrives on solving complex integration challenges that span hardware, software, and systems engineering. A successful candidate will be skilled at deploying autonomy solutions onto unmanned platforms, preparing systems for flight, and troubleshooting mission-critical issues in both lab and field environments. The role is highly dynamic, requiring hands-on experience, strong systems thinking, and the ability to operate effectively in fast-paced, real-world test conditions.

Our Flight Integration

Engineers are essential to bridging the gap between R&D; and deployment, ensuring that autonomous systems function reliably and effectively when and where they are needed most.

System

Integration & Deployment— Integrate autonomy software onto unmanned aircraft systems, ensuring seamless operation across onboard compute, sensors, and control interfaces. Pre-flight Preparation— Own the build, configuration, and validation process for flight-ready systems; coordinate hardware/software compatibility and mission readiness. On-site Flight Test Support— Travel to test sites and support live flight operations, including safety checks, system bring-up, and troubleshooting under time-critical constraints.

Hardware/Software Debugging— Diagnose and resolve integration issues across complex autonomy software stacks and embedded systems in lab and field environments.

Flight Data

Capture & Analysis— Manage data collection during missions and post-test analysis,



working with autonomy engineers to refine behaviors and identify improvements.

Collaboration Across

Teams— Work closely with autonomy, GNC, systems, and test teams to ensure mission-critical functionality is delivered on time and validated thoroughly.

Continuous

Improvement— Build tools and processes to improve integration timelines, flight test reliability, and team efficiency across deployment cycles.

Travel

Requirement– Members of this team typically travel around *% of the year (to different office locations, customer sites, and flight integration events). BS/MS in Computer Science, Electrical Engineering, Mechanical Engineering, Aerospace Engineering, and/or similar degree, or equivalent practical experience. Typically requires a minimum of 7 years of related experience with a Bachelor's degree; or 5 years and a Master's degree; or 4 years with a PhD; Proficiency in programming languages such as C++ and Python, and familiarity with real-time operating systems (RTOS).

Proficiency in Linux-based development and experience working with embedded systems, shell scripting, and system diagnostics. Knowledge of sensor integration, sensor fusion, and middleware frameworks (e.g., Experience with simulation tools and environments for testing and validation. Strong problem-solving skills, with the ability to troubleshoot and optimize system performance.

Direct experience supporting unmanned aerial systems or similar flight test campaigns. Familiarity with autonomy stacks, flight control systems, or GNC pipelines. Competence in sensor integration, electronics debugging, or avionics bring-up.

Proficiency in developing automation tools for system testing, logging, and data parsing. Our international teammates receive a comprehensive total rewards package aligned to your country office location. If you would like more information about how your data is processed, please contact us.

📌 Autonomy Integration Engineer (Madrid)
🏢 shieldai
📍 Madrid