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. We combine capabilities from the Autonomy Capabilities team (motion planning, tactics), the Perception team (e.g., track fusion), and the HivemindSDK to develop the autonomy software that runs on launched effects platforms, then integrate, validate, and field it on the real hardware—for U.
Our engineers write new autonomy code—such as mission behaviors, platform-specific control, multi-agent coordination, contingencies, and executive autonomy—and own it end-to-end from software-in-the-loop, to hardware-in-the-loop, to vehicle-in-the-loop, to live test exercise. In this role, you'll lead the technical delivery of complex autonomy capabilities spanning platform integration, fleet operations, and operational deployment. You'll own some of the team's most challenging technical problems while driving technical direction across multiple subsystems and collaborating closely with the Autonomy Capabilities team, Perception, feature crews, autopilot vendors, C2 providers, and customer partners. Lead Technical Delivery– Lead the technical execution of major autonomy capabilities; Develop & Field Autonomy– Develop and integrate autonomy software solutions onto launched effects platforms, including autopilot integration, payload systems, executive autonomy, multi-agent coordination, and fleet-scale deployment to disconnected or air-gapped environments. Collaboration Across Teams & Partners– Serve as a primary technical interface with the Autonomy Capabilities team, Perception team, feature crews, autopilot vendors, C2 providers,



and customer/contractor partners; Pre-deployment Preparation– Drive mission readiness for Capability Releases and fleet-scale deployments by coordinating validation, release planning, hardware/software compatibility, and operational readiness. On-site Test & Mission Support– Provide technical leadership during flight tests, customer demonstrations, range exercises, and operational deployments while troubleshooting complex issues under time-critical constraints. Hardware/Software Debugging– Lead root-cause analysis across autonomy software, payload computers, embedded systems, networking, and platform interfaces using simulation, lab testing, and field data. Mission Data & Debrief Support– Analyze mission data, reproduce issues, coordinate corrective actions across engineering teams, and drive continuous improvements into future releases. Continuous Improvement– Build tools, automation, and engineering processes that improve deployment velocity, mission reliability, developer productivity, and integration efficiency. C2 Interoperability & Standards– Drive implementation of command-and-control interfaces and support compliance with open-systems standards while coordinating closely with external integration partners. Travel Requirement– Members of this team typically travel around *% of the year to different office locations, customer sites, operator training events, flight tests, and integration exercises. Expert C++ and Linux development experience. Experience leading complex autonomy or embedded software integration efforts. Experience supporting operational test events or customer deployments. Experience with disconnected or air-gapped deployments. 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.

📌 Staff Software Engineer, Autonomous Pilot Integration (España)
🏢 shieldai
📍 España