Software Engineer, Autonomous Pilot Integration; R5208

Company Overview

Founded in 2015, 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 and V‑BAT and X‑BAT aircraft. Shield AI’s technology actively supports operations worldwide.

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 Hivemind SDK to develop the autonomy software that runs on an unmanned platform—air, maritime, space, or effects/expendables, depending on the program—and then integrate, validate, and field it on 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 also serve as a technical leader within the team—leading a small feature crew or sub‑program through design, integration, and delivery, mentoring mid‑level engineers, and representing the team directly to capability teams and external partners.

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 when they’re needed most.