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Shield AI

Posted 1 month ago

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Engineer II, Systems Test (R5038)

WashingtonOn-siteFull-time

AI Summary

Role focuses on leading simulation-driven testing, automation, and software quality for Hivemind autonomy software, developing test frameworks, and validating performance in simulated and real environments.

About this role

Founded in 2015, Shield AI is a venture-backed deep-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include the V-BAT and X-BAT aircraft, Hivemind Enterprise, and the Hivemind Vision product lines. With offices and facilities across the U.S., Europe, the Middle East, and the 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.

Job Description:

The Hivemind Solutions Test Department is seeking an Engineer II (Software & Simulation Focus) to join our DC-based team. Since Shield AI's mission is to protect service members and civilians, The Hivemind Solutions Test Department makes this a reality by validating the reliability, safety, and performance of our world-class autonomy software.

You’ll 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)

    • Required qualifications:

  • Typically requires a minimum of 2 years of related experience with a Bachelor’s degree; or 0 years and a Master’s degree; or a PhD without experience; 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

    • Skills

    CI/CD IntegrationC (preferred)Data ProcessingData Validation ToolsHardware-in-the-loop (HIL)Integration TestingPythonRegression TestingRoboticsSimulation FrameworksSoftware-in-the-Loop (SiL)System-level TestingTest AutomationTest HarnessesUAS / Unmanned Aerial SystemsVehicle-in-the-Loop (VIL)

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