Shield AI
Systems Test Engineer (R5243)
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Software Test Engineer for Hivemind Autonomy Testing
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, 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.
Visit www.shield.ai for more information. Follow Shield AI on LinkedIn, X, Instagram, and YouTube.
About the Role
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 rapidly and seeks an engineer who excels in fast-paced environments, embraces continuous learning, and brings a high-ownership, mission-driven mindset. This opportunity allows you to make a tangible impact—advancing autonomy solutions that preserve lives—while collaborating with a dynamic, 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 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 compliance.
- Design, implement, and maintain simulation-based test frameworks to validate Hivemind autonomy behavior and performance.
- Build Python-based tools and utilities 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)
- Simulation environments
- Contribute to defining testing methodologies, metrics, and performance benchmarks for autonomy validation.
- Support scaling and improving simulation infrastructure used for large-scale software validation.
- Maintain detailed and accurate test documentation, ensuring traceability and cross-team knowledge sharing.
- Integrate test coverage seamlessly into the CI/CD pipeline in collaboration with developers.
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Requirements
Required Qualifications
- Minimum of 7 years of related experience with one of:
- A Bachelor’s degree,
- 5 years of experience + a Master’s degree, or
- 4 years of experience + a PhD
- Proficient 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 abilities, with cross-functional experience in software, hardware, and mechanical engineering teams
- Adaptability—willingness to quickly learn new technologies in a fast-moving environment
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Preferred Qualifications
- 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, distributed testing, or test data management
- Quality Assurance (QA) experience, including process definition, metrics, and validation tracking
- Background in aerospace, defense, or mission-critical software
Compensation and Benefits
Our international team receives a comprehensive total rewards package, tailored to the relevant country office. For specific details on compensation and benefits, consult your talent acquisition partner during the hiring process.
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