Description
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:
- System Integration & Deployment: integrating autonomy software onto unmanned aircraft systems
- Pre-flight Preparation: building, configuring, and validating flight-ready systems
- On-site Flight Test Support: supporting live flight operations and troubleshooting
- Hardware/Software Debugging: diagnosing and resolving integration issues
- Flight Data Capture & Analysis: managing data collection and post-test analysis
- Collaboration Across Teams: working with autonomy, GNC, systems, and test teams
- Continuous Improvement: building tools and processes to improve integration timelines and team efficiency
- Support Certification and Compliance: assisting with documentation and system-level validation
Requirements include:
- BS/MS in Computer Science, Electrical Engineering, Mechanical Engineering, Aerospace Engineering, or similar degree
- 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 C++, Python, Linux-based development, and real-time operating systems
- Experience with embedded systems, shell scripting, and system diagnostics
- Knowledge of sensor integration, sensor fusion, and middleware frameworks
- Hands-on experience supporting flight demos or live exercises
Preferred qualifications include direct experience with unmanned aerial systems, autonomy stacks, and flight control systems.
This listing is enriched and indexed by YubHub. To apply, use the employer's original posting:
https://jobs.lever.co/shieldai/ec27312c-b829-42fb-9a1f-e5733b38b0c1