Autonomy Integration Engineer
Shield AI is a U.S. defense-technology company developing mission-autonomy software and autonomous aircraft for military and allied operations.
Funding history
Investors
About Shield AI
Founded in 2015, Shield AI builds Hivemind autonomy software and V-BAT and X-BAT aircraft for operations in contested, GPS- and communications-denied environments. Its current site also presents Aechelon synthetic-reality simulation and Vision Systems detection and tracking products.
Skills
Candidate Availability
Required and preferred rules are kept separate and reflect the wording in the original posting.
About the Role
You will integrate autonomy software with unmanned aircraft, onboard compute, sensors, and control interfaces. You will configure and validate flight-ready systems, support live flight tests, diagnose embedded hardware and software issues, capture and analyze mission data, and improve integration processes and compliance documentation.
Requirements
- Bachelor's or master's degree in computer science, electrical engineering, mechanical engineering, aerospace engineering, or a similar discipline, or equivalent practical experience
- At least 7 years of related experience with a bachelor's degree, 5 years with a master's degree, or 4 years with a PhD
- C++ and Python proficiency
- Familiarity with real-time operating systems
- Linux-based development, embedded systems, shell scripting, and system diagnostics experience
- Knowledge of sensor integration, sensor fusion, ROS, and DDS
- Experience supporting flight demonstrations or live exercises
- Experience with simulation tools for testing and validation
- Problem-solving, troubleshooting, communication, and teamwork skills
Responsibilities
- Integrate autonomy software onto unmanned aircraft systems
- Build, configure, and validate flight-ready systems
- Support live flight operations, safety checks, system bring-up, and troubleshooting
- Diagnose and resolve hardware and software integration issues
- Manage mission data collection and post-test analysis
- Collaborate with autonomy, GNC, systems, and test functions
- Build tools and processes that improve integration and flight-test reliability
- Support certification, airworthiness, and compliance documentation