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.
Our international teammates receive a comprehensive total rewards package aligned to your country office location. For full details on compensation and benefits, please consult your talent acquisition partner.
What you'll do:
Lead the design, development, and maintenance of high-performance C++ software for complex systems.
Architect robust, scalable simulation solutions for systems of systems and real-time processing.
Drive the integration of third-party software and hardware systems into comprehensive architectures.
Set technical standards and mentor other engineers to promote excellence and best practices.
Collaborate with cross-functional teams to ensure project alignment and successful delivery.
Implement modern agile software development practices, including continuous integration and test-driven development.
Tackle complex debugging and optimization challenges to enhance system performance.
Explore and adopt new technologies to stay at the forefront of the field.
Drive task decomposition for teams and individuals
Required qualifications:
Typically requires a minimum of 7 years of related experience with a Bachelor’s degree; or 5 years and a Master’s degree; or 4 years with a PhD; or equivalent work experience.
Advanced professional experience in software engineering and systems integration.
Familiarity with design patterns and system-level engineering principles.
Extensive experience in C++ using modern C++ (C++17/20) while possessing a solid understanding of older standards (C++98/03) for adapting to legacy code and systems seamlessly.
Experience in Python.
Programming experience in a Linux environment (Windows experience is a bonus).
Expertise with Docker or other containerization mechanisms.
Demonstrated success leading projects with 10+ contributors.
Exceptional problem-solving skills, with a fast, efficient, and effective approach.
Deep understanding of design patterns and system architecture principles.
Experience in a collaborative development environment, focused on continuous integration/delivery and test-driven development.
Preferred qualifications:
MS or greater in Computer Science, Electrical Engineering, Mechanical Engineering, Aerospace Engineering, and/or similar degree, or equivalent practical experience.
Real-time and distributed simulation experience.
Experience with surface and/or subsurface simulation environments and models.
Proficiency in Python.
Advanced knowledge of third-party system integration (software and hardware).
Experience with web-service technologies like gRPC, REST APIs, message queues (ActiveMQ, ZeroMQ), etc.
Familiarity with C++ tooling like CMake and Conan.
Experience with UCI and OMS Standards.