shieldai - Systems Test Engineer
Requirements
• 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. • Our international teammates receive a comprehensive total rewards package aligned to your country office location. For full details on compensation and benefits, please consult your talent acquisition partner.
Responsibilities
• 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)
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