Founded in 2015, Shield AI is a venture-backed defense technology company whose mission is to protect service members and civilians with intelligent systems. In pursuit of this mission, Shield AI is building the world’s best AI pilot. Its AI pilot, Hivemind, has flown a fighter jet (F-16), a vertical takeoff and landing drone (V-BAT), and a quadcopter (Nova). The company has offices in San Diego, Dallas, Washington DC and abroad. Shield AI’s products and people are currently in the field actively supporting operations with the U.S. Department of Defense and U.S. allies.
The GNC team focuses on researching and developing state-of-the-art algorithms that drive high-performance flight for the VBAT and XBAT, both vertical take-off and landing (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 vehiclesExecute simulations and real-world tests of VTOL vehiclesExtract linear aircraft state space models from nonlinear modelsUpdate system models leveraging system identification techniques, both offline and onlineRoot-cause, triage, and resolve flight control system defectsImprove test infrastructure, including improvements to unit test coverage, simulation fidelity, analysis tools, etc.Support roadmapping and planning for next-generation flight control systemsWork with hardware teams to design and select servos, propulsion systems, inertial navigation systems, air data units, vision-based navigation systems, etc.
REQUIRED QUALIFICATIONS:
BS or higher in Aerospace, Aeronautical, Mechanical, Electrical, or Software Engineering with a focus on Control SystemsExperience tuning and optimizing control systems in simulation and real-world for stability and performanceExperience with C++ in a production environmentExperience with data analysis toolsPassion for solving complex problems in a fast-moving environmentDemonstrated record of working hard, strong communication skills, being a trustworthy teammate, and being kind to others
PREFERRED QUALIFICATIONS:
Two years or more of professional experience in the area of robotics, vehicle dynamics modeling, aircraft flight controls, or simulationExperience with C++ 17 or newerFamiliarity with git, bash, PythonFamiliarity with best practices for software engineering, such as test-driven development, continuous integration & delivery, containerization, etc.