Senior Software Engineer, Embedded Linux Platform (R5718)

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:

We are seeking a  Senior Software Engineer, Embedded Linux Platform  to help build and own the operating system and software platform that turns our edge compute hardware into reliable, deployable autonomous systems.  

This role sits at the boundary between hardware and application software. You will own the Linux platform and software delivery foundations of our edge compute systems, from hardware bring-up and operating system configuration through reproducible builds, packaging, deployment and operation in the field.  

NixOS is our primary deployed operating system and a core technology for this role.  You will help evolve and maintain our NixOS-based platform, while also supporting and improving other Linux distributions and environments used across our edge systems. You will develop C++ software and platform tooling, package software and hardware dependencies, integrate vendor BSPs and drivers, and ensure we can reliably build, configure and deploy complete systems across our supported hardware and Linux environments.  

You don't need to already be a NixOS expert. We are looking for strong software engineers with experience in Linux systems, embedded Linux or adjacent platform technologies who are interested in developing deep expertise in NixOS. Experience with NixOS is highly valued, as is experience with technologies such as Yocto, Buildroot, Debian/Ubuntu or other Linux build and distribution systems.  

The goal is simple:  make the path from hardware to deployed software reproducible, reliable and predictable.