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 in Computer Science, Electrical Engineering, Mechanical Engineering, Aerospace Engineering, and/or similar degree, or equivalent practical experience
- Typically requires a minimum of 10 years of related experience with a Bachelor’s degree, or 9 years and a Master’s degree, or 7 years with a PhD, or equivalent work experience
- Proficiency in programming languages such as C++ and Python, and familiarity with real-time operating systems (RTOS)
- Significant background in robotics technologies related to motion planning, behavior modeling, decision-making, or autonomous system design
- Significant experience with unmanned system technologies and accompanying algorithms (specifically air domain)
- Experience with simulation tools and environments (e.g., AFSIM, NGTS) for testing and validation
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,...
Browse similar: AI jobs · AI startup jobs · Startup jobs · San Francisco Bay Area