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. 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
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Job Description:
Build the foundation for the next generation of autonomous systems. In this role, you'll develop and integrate the core software and platform infrastructure that powers mission-critical technology, working across teams to deliver reliable, scalable solutions from development through deployment.
What you'll do:
Own platform integration across SIL, HIL, VIL, and edge deployment workflows, ensuring components work together reliably and are easy for developers to use.
Build and maintain reference work spaces, platform reference implementations, and tooling that accelerate development, testing, deployment, and validation.
Integrate platform-level software across hardware, sensors, controllers, APIs, configuration, orchestration, and fleet/device management systems.
Support embedded platform bring-up and hardware diversification across developer boards, iron birds, aircraft/vehicle test platforms, and other reference hardware.
Improve platform stability, API quality, developer experience, and system scalability for mission-critical product and customer commitments.
Partner with autonomy, hardware, product, and program teams to identify integration gaps and deliver durable solutions.
Required qualifications:
5+ years experience with strong software engineering experience in robotics, autonomy, embedded systems, distributed systems, or similarly complex platforms.
Strong experience with C++ and Python and experience building developer tools, configuration systems, orchestration frameworks, or automation.
Experience integrating and debugging software across Linux-based systems, hardware interfaces, deployment environments, and APIs, including use of measurement or diagnostic tools such as oscilloscopes, logic analyzers, or protocol analyzers to debug embedded communication interfaces.
B.S. or Master’s degree in Engineering, Computer Science, or related field
Ability to work independently in ambiguous technical areas and drive cross-functional integration efforts to completion.
Strong communication and collaboration skills
Preferred qualifications:
Experience with SIL, HIL, and VIL workflows for autonomy, robotics, aerospace, automotive, or defense systems.
Experience with embedded Linux, BSP development, build systems, device trees, bootloaders, or hardware bring-up.
Experience with edge deployment, device discovery, fleet management, OTA workflows, or application deployment to remote devices.
Experience with platforms such as Jetson, Qualcomm, i.MX8, or similar embedded compute hardware.
Experience integrating sensor drivers, controller interfaces, vehicle interfaces, hardware abstraction layers, or reference test platforms.
