Senior Engineer, Systems Test (R5038)
Lead simulation-driven testing and automation for Shield AI's autonomy software. Build test frameworks and validate performance in simulated and real-world mission environments.
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 qualifications
- Typically requires a minimum of 3-5 years of related experience with a Bachelor’s degree; or 2-4 years and a Master’s degree; or 2 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
- The ability to obtain and maintain a SECRET Clearance. US citizenship is required as only US citizens are eligible for a security clearance.
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 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
- Active SECRET clearance preferred
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