Flight Integration Engineer

Shield AI is seeking a Flight Integration Engineer to deploy autonomy solutions onto unmanned platforms, prepare systems for flight, and troubleshoot mission-critical issues.

The role involves:

• Integrating autonomy software onto unmanned aircraft systems
• Preparing systems for flight and validating configurations
• Supporting live flight operations and troubleshooting issues
• Debugging hardware and software issues across complex autonomy software stacks
• Capturing and analysing flight data to refine system behaviours
• Collaborating with cross-functional teams to deliver mission-critical functionality
• Building tools and processes to improve integration timelines and team efficiency
• Assisting with certification and compliance documentation

The ideal candidate will have:

• A BS/MS in Computer Science, Electrical Engineering, Mechanical Engineering, Aerospace Engineering, or similar
• At least 7 years of related experience with a Bachelor's degree, or 5 years with a Master's degree, or 4 years with a PhD
• Proficiency in C++, Python, Linux-based development, and real-time operating systems
• Experience with sensor integration, sensor fusion, and middleware frameworks
• Hands-on experience supporting flight demos or live exercises
• Strong problem-solving and communication skills

Preferred qualifications include direct experience with unmanned aerial systems, autonomy stacks, and flight control systems.