shieldai - Shield AI - Autonomy Integration Engineer

London1mo ago

In Office Mid EMEA Diagnostics Airlines Integration Engineer AI Engineer C++Python Linux Shell Talent Acquisition

Requirements

• 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. • Our international teammates receive a comprehensive total rewards package aligned to your country office location. For full details on compensation and benefits, please consult your talent acquisition partner.

Responsibilities

• 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).