Shield AI is a venture-backed defense technology company founded in 2015 with a mission to protect service members and civilians with intelligent systems.
The company has developed an AI pilot, Hivemind, which has flown multiple vehicles including a fighter jet (F-16), a vertical takeoff and landing drone (V-BAT), and a quadcopter (Nova).
Shield AI’s products and people are actively supporting operations with the U.S. Department of Defense and U.S. allies.
The Planning and Controls (PAC) team is an agile group of engineers focused on researching and developing algorithms for intelligent flight behaviors.

Research, design, and implement state-of-the-art teaming algorithms for real-time autonomous systems.
Develop core systems that must be portable and scalable across different UAS platforms and compute architectures.
Collaborate with engineers, program managers, and product managers to define a technical roadmap for future autonomy solutions.
Work with soft or hard real-time operating systems.
Deploy the AI stack to edge devices.
Collaborate with DevOps teams to architect and maintain cloud infrastructure (Docker and Kubernetes) and assist with cross-platform builds.
Work on projects like Multi-Agent Executive Managers for real-time task allocations, assignment algorithms for reduced operator overhead, and NATO system interoperability.

Typically requires a minimum of 7 years of related experience with a Bachelor’s degree; or 5 years with a Master’s degree; or 4 years with a PhD; or equivalent work experience.
Proficiency in C++ 11 or newer in a production environment.
Experience in collaborative development environments, focusing on continuous integration/delivery and test-driven development.
Strong knowledge of modern software engineering best practices.
Proven track record of strong communication skills, reliability, and teamwork.
Strong organizational skills.

Staff Autonomy Engineer, Planning and Controls (R2879) Full Time

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