Senior Staff Software Engineer, Autonomous Pilot Integration

The Autonomous Pilot Integration team builds autonomy solutions for a wide range of CONOPs and mission sets. We combine capabilities from the Autonomy Capabilities team (motion planning, tactics), the Perception team (e.g., track fusion), and the HivemindSDK to develop the autonomy software that runs on an unmanned platform — air, maritime, space, or effects/expendables, depending on the program — then integrate, validate, and field it on the real hardware. In this role, you'll write new autonomy code — such as mission behaviors, platform-specific control, multi-agent coordination, contingencies, and executive autonomy — and own it end-to-end from software-in-the-loop, to hardware-in-the-loop, to vehicle-in-the-loop, to live test exercise. You'll partner closely with the Autonomy Capabilities and Perception teams, feature crews, and external platform integrators (vehicle/autopilot control vendors, C2 providers). It's a hands-on role for engineers who like seeing their code operate in the real world — whether that's flying, sailing, orbiting, or downrange — and want to be there when it does. 

At this level, you'll own the technical direction across multiple programs — driving the autonomy reference implementation and common patterns that portfolios adopt, anticipating where the autonomy stack needs to evolve, adapting as programs and priorities shift, and aligning with engineering leadership early. You'll serve as the subject-matter expert other teams seek out on hard, ambiguous problems in unknown solution spaces; mentor senior engineers and other team leads; drive cross-team improvements in rigor and process; and represent the team to engineering leadership, customer/program offices, and standards bodies. 

Shield AI is committed to developing cutting-edge autonomy for unmanned platforms across every operating domain — air, maritime, space, and effects/expendables — in service of the U.S. Department of Defense and our international defense customers. Our Autonomous Pilot Integration engineers bridge the gap between R&D and deployment, ensuring autonomous systems function reliably and effectively wherever and whenever they're needed most.