Engineer , GNC
Listed on 2026-02-16
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Engineering
Aerospace / Aviation / Avionics, Systems Engineer, Robotics, Electrical Engineering
Shield AI is a venture-backed defense technology company focused on protecting service members and civilians with intelligent systems. The GNC team concentrates on researching and developing state-of-the-art algorithms that drive high-performance flight for the VBAT and XBAT, both VTOL aircraft. As a Controls Engineer on this team, you’ll work on an agile, mission-driven, and values-focused team grounded in first principles to push the boundaries of the state-of-the-art.
WHAT YOU’LL DO:- Design, develop, and optimize flight control systems for a family of advanced unmanned VTOL vehicles
- Execute simulations and real-world tests of VTOL vehicles
- Extract linear aircraft state space models from nonlinear models
- Update system models leveraging system identification techniques, both offline and online
- Root-cause, triage, and resolve flight control system defects
- Improve test infrastructure, including improvements to unit test coverage, simulation fidelity, analysis tools, etc.
- Support road mapping and planning for next-generation flight control systems
- Work with hardware teams to design and select servos, propulsion systems, inertial navigation systems, air data units, vision-based navigation systems, etc.
- BS or higher in Aerospace, Aeronautical, Mechanical, Electrical, or Software Engineering with a focus on Control Systems
- Experience tuning and optimizing control systems in simulation and real-world for stability and performance
- Experience with C++ in a production environment
- Experience with data analysis tools
- Passion for solving complex problems in a fast-moving environment
- Demonstrated record of working hard, strong communication skills, being a trustworthy teammate, and being kind to others
- Two years or more of professional experience in robotics, vehicle dynamics modeling, aircraft flight controls, or simulation
- Experience with C++ 17 or newer
- Familiarity with git, bash, Python
- Familiarity with best practices for software engineering, such as test-driven development, continuous integration & delivery, containerization, etc.
Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know.
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