Autonomy Integration Engineer

This position is ideal 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.
• Support Certification and Compliance - Assist with documentation and system-level validation required for certification, airworthiness, and compliance in defense-relevant environments.
• Travel Requirement - Members of this team typically travel around 30-40% of the year (to different office locations, customer sites, and flight integration events).

Do you have experience in System performance optimization?, * 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; or equivalent work experience.
• 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., ROS, DDS).
• Hands-on experience supporting flight demos or live exercises.
• Experience with simulation tools and environments for testing and validation.
• Strong problem-solving skills, with the ability to troubleshoot and optimize system performance.
• Excellent communication and teamwork skills, with the ability to work effectively in a collaborative, multidisciplinary environment., * 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.
• Comfortable interfacing with DoD stakeholders during field events or technical reviews.
• Experience with UCI and OMS Standards.

Founded in 2015, 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 and V-BAT and X-BAT aircraft. 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.