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Shield AI is building a cutting-edge aircraft simulation platform for next-generation VTOL systems. The Modeling & Simulation Engineer will develop and deploy simulation models, leveraging C++ across mathematical physics and surrogate ML approaches.
The role focuses on validating results against test data to ensure fast, reliable performance in operational scenarios. Join a team driving high-fidelity simulations for defense-tech applications, contributing to scalable simulation tooling and
Shield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software, V-BAT and X-BAT aircraft, and Aechelon simulation and synthetic reality technologies. With offices and facilities across the U.S., Europe, the Middle East, and Asia-Pacific, Shield AI’s technology actively supports operations worldwide. For more information, visit www.shield.ai. Follow Shield AI on LinkedIn, X, Instagram, and YouTube.
The Aircraft Simulation team is the nerve center of autonomy integration at Shield AI. We deploy the innovative tools, intelligent models, and streamlined processes that make it possible to evaluate complex autonomous flight algorithms at scale. Our tools are utilized in a broad range of simulation - from mission autonomy simulation to Hardware-in-the-loop, and every layer between. In an era of rapid advancement in Artificial Intelligence, our goal is simple: make AI fly - safely, reliably, and fast.
As a Modeling & Simulation Engineer, you will be a pivotal force in engineering Shield AI’s foundational simulation platform for our next-generation VTOL aircraft. You’ll develop our emerging simulation engine and deploy advanced aircraft models in C++ across multiple engineering domains - ranging from mathematical physics to the latest in surrogate machine learning methods. You will also utilize your multiphysics and aeronautical systems knowledge to conduct system performance analysis against test and vendor data to ensure simulation results are valid in operational scenarios, and simulation platforms are both stable and fast.