About the role
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 www.shield.ai . Follow Shield AI on LinkedIn , X , Instagram , and YouTube . Candidates for this role will lead simulation-driven testing, automation, and software quality efforts for Hivemind, building and executing test frameworks that ensure our autonomy software performs reliably across simulated and real-world mission environments. Shield AI is growing quickly, and we're looking for someone who thrives in fast-paced environments, embraces learning, and brings a high-ownership, mission-driven mindset. This is a chance to have a real impact—advancing autonomy that protects lives—while working with a collaborative, high-performing team. \n
What you'll do: Develop automated regression, integration, and system-level tests to ensure Hivemind software quality and stability across releases Identify, reproduce, and diagnose software issues—collaborating closely with development teams to drive fixes and improvements Create and execute test plans and documentation for autonomy software in simulated environments, ensuring mission and safety
requirements are met Design, implement, and maintain simulation-based test frameworks to validate Hivemind autonomy behavior and performance Build tools and utilities in Python to automate testing, data processing, and analysis workflows Develop test harnesses and data validation tools for Software-in-the-Loop (SIL) / Hardware-in-the-Loop (HIL) / Vehicle-in-the-Loop (VIL) and simulation environments Contribute to the definition of testing methodologies, metrics, and performance benchmarks for autonomy software validation Support the scaling and reliability of simulation infrastructure used for large-scale software validation Maintain detailed and accurate test documentation, ensuring traceability and knowledge sharing across teams Work with developers to integrate test coverage directly into the development pipeline (CI/CD) Required