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Shield AI is seeking a senior leader to manage the HMS Perception team, developing perception algorithms for advanced aerospace, defense, and robotics systems. You will translate cutting-edge research into real hardware deployments while guiding software development across state estimation, sensor fusion, AI/ML, and machine perception.
The role requires 10+ years of leadership experience and a proven ability to lead multidisciplinary teams to practical, mission-critical results in fast-paced,
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.
As a member of the HMS Perception team, you will conduct software development at the intersection of classical state estimation techniques, sensor fusion, artificial intelligence, machine learning, and machine perception. You will develop cutting-edge technology onto real hardware that provides robust and accurate estimates of vehicle pose and surroundings for real missions. Shield AI is pushing the envelope by applying advanced AI solutions to real hardware systems. An ideal candidate should aspire to be a part of this industry-changing team developing and deploying advanced technology that can truly make an impact.
We are seeking a skilled and motivated leaders with 10+ years of experience to manage a technical team supporting the development, integration, and testing of perception algorithms for advanced aerospace, defense, and robotics systems. In this role, you will contribute to implementing and integrating innovative perception solutions while collaborating with a multidisciplinary team of engineers to meet challenging operational requirements.