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Manager, Software Test & Automation (R5461)

Shield AI · San Diego, California

$160k – $240k / yr

Original employer posting ↗

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. 

Job Description:
Shield AI's Software Test & Automation Team is responsible for developing the verification, validation, and automation capabilities that enable rapid delivery of Hivemind autonomy across the Expeditionary and Emerging Operations portfolio. The team provides objective evidence of software quality, reliability, and mission readiness by developing scalable automation frameworks, repeatable validation environments, and software readiness assessments spanning Software-in-the-Loop (SIL), Hardware-in-the-Loop (HIL), Vehicle-in-the-Loop (VIL), and operational test environments. 
As the Software Test & Automation Manager, you will lead a multidisciplinary engineering team responsible for defining verification strategies, building automated validation capabilities, and establishing software readiness standards across a diverse portfolio that includes XBAT, VBAT, Weapons, Space, Maritime, and other emerging autonomy programs. You will partner closely with software engineering, systems engineering, platform integration, digital infrastructure, and flight test organizations to ensure autonomy capabilities are thoroughly validated and ready for operational deployment. 
This role is ideal for a technical leader who enjoys building high-performing engineering teams, developing scalable automation strategies, and improving software quality through modern verification and continuous validation practices. 

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