Staff Engineer
Shield AI
Staff Engineer
Shield AI
Builds autonomous aircraft for defense
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.
This position is perfect for a seasoned C++ engineer with expertise in modeling and simulation, systems, and systems integration. As a key leader, you will tackle the most challenging and complex projects with minimal oversight, driving impactful results in collaboration with a dynamic and skilled team. This is an opportunity to shape innovative solutions, integrating simulations and third-party systems, and advancing cutting-edge technologies.
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.
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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.
Shield AI builds autonomous aircraft and flight software for military and allied defense customers, with a focus on operations where conventional remote control breaks down. Its Hivemind AI pilot handles decisions during a mission, while the V-BAT aircraft gathers intelligence and locates targets. Aircraft makers use its software tools to develop and test their own autonomy, and its Aechelon business supplies visual and sensor simulation for pilot training. The company earns money from aircraft sales, autonomy software and contracted engineering and operational services. Shield AI was founded in 2015 and is headquartered in San Diego, California.
Explore more opportunities at Shield AI