Autonomy for the world. Backed by a16z.
About the role
The Autonomy Capabilities Team develops functionality to automate single- and multi-agent teams of platforms in pursuit of mission objectives and acts as a central discipline-aligned focal-point for encouraging consistent usage of technical approaches across business portfolios.
What they're looking for
- BS/MS/PhD in Computer Science, Aerospace Engineering, Electrical Engineering, Robotics, Mechanical Engineering, or a related field
- Proficient in production-level C++ software development
- 7+ years' experience in one or more of the following: software sub-system scheduling and integration, behavior planning, task and resource allocation, motion planning, optimization, or flight controls
- Experience with collaborative software development tools for version control, issue tracking, code reviews, and release management
- Proven ability to lead multi-disciplinary teams, set technical direction, and manage full project lifecycles from concept to deployment
- Capacity to learn and grow individually, while mentoring junior team members effectively, building team cohesion and capacity
More about this role
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 Autonomy Capabilities Team develops functionality to automate single- and multi-agent teams of platforms in pursuit of mission objectives and acts as a central discipline-aligned focal-point for encouraging consistent usage of technical approaches across business portfolios. This team operates at all levels of the command-and-control hierarchy (from advanced control laws, through motion planning, and up to advanced tactical behaviors and multi-agent coordination) and across a multitude of mission sets, platform types, and operational domains (e.g., air, sea, space). The team puts a strong emphasis on both fundamentals (e.g., aircraft kinematics/dynamics,...
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