Systems Test Engineer

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.
 
 

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)

• Typically requires a minimum of 7 years of related experience with a Bachelor’s degree; or 5 years and a Master’s degree; or 4 years with a PhD; or equivalent work experience.


• Proficiency in Python.


• Experience in robotics, small UAS, or related hands-on engineering projects


• Strong analytical, problem-solving, and debugging skills

  • Passionate about intelligent aircraft systems.



• Excellent communication and collaboration skills, with the ability to work effectively with cross-functional software, hardware and mechanical engineering teams.


• Adaptability and a willingness to learn new technologies and methodologies quickly in a fast-paced environment.

 

• Experience testing autonomous systems, robotics software, or flight autonomy algorithms.


• Familiarity with C++ and software/hardware integration concepts.


• Experience with HIL or VIL test environments.


• Exposure to machine learning or AI-driven autonomy systems.


• Background in simulation infrastructure design, distributed testing, or test data management.


• Quality Assurance (QA) experience, including process definition, metrics, and validation tracking.


• Experience with aerospace, defense, or mission-critical software.

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