Shield AI, a pioneering defense technology company founded in 2015, is seeking a Senior Staff Engineer for Infrastructure to join their team in Washington D.C. This role sits at the intersection of DevOps, AI, and defense technology, working with the company's flagship autonomy software, Hivemind.
The position offers an exciting opportunity to lead infrastructure engineering initiatives that directly support U.S. and allied operations worldwide. You'll be responsible for managing a software factory that builds, optimizes, and analyzes autonomy solutions, working within specialized and isolated environments. The role requires expertise in cloud computing, Kubernetes, and container orchestration, along with strong leadership abilities to guide a small team of infrastructure engineers.
Key responsibilities include integrating AI training factory and tooling onto new hardware, managing software updates across isolated environments, and ensuring smooth operation of AI training infrastructure. You'll work closely with autonomy developers, test engineers, and cybersecurity professionals, making this an ideal position for someone who thrives in collaborative, complex technical environments.
The ideal candidate brings 10+ years of experience, deep knowledge of Linux/Unix systems, and expertise in automation tooling. US citizenship is required due to security clearance requirements. The position offers competitive compensation ($168,871 - $253,307) plus bonus, benefits, and equity, reflecting the role's strategic importance.
This is an exceptional opportunity for a senior technologist looking to make a meaningful impact in defense technology while working with cutting-edge AI systems. The role combines technical leadership, infrastructure architecture, and mission-critical operations, making it perfect for someone passionate about both technology and national security.