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Shield AI

Builds autonomous aircraft for defense

Senior Test Engineer - Systems Test

Test Automation EngineeringUpdated on Nov 11
Full-timeWashington, DC, USANo salary listed

About the Job

Requirements

  • Typically requires 3–5 years of related experience with a Bachelor's degree, 2–4 years with a Master's degree, or 2 years with a PhD; equivalent work experience is also accepted.
  • Proficiency in Python.
  • Experience in robotics, small unmanned aircraft systems, or related hands-on engineering projects.
  • Strong analytical, problem-solving, and debugging skills.
  • Passion for intelligent aircraft systems.
  • Ability to work effectively with cross-functional software, hardware, and mechanical engineering teams.
  • Adaptability and willingness to learn new technologies and methodologies quickly in a fast-paced environment.
  • Ability to obtain and maintain a Secret clearance; U.S. citizenship is required because only U.S. citizens are eligible for a security clearance.

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 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, Hardware-in-the-Loop, Vehicle-in-the-Loop, and simulation environments.
  • Contribute to defining 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 using continuous integration and continuous delivery.

Desired Qualifications

  • Experience testing autonomous systems, robotics software, or flight autonomy algorithms.
  • Familiarity with C++ and software/hardware integration concepts.
  • Experience with Hardware-in-the-Loop or Vehicle-in-the-Loop test environments.
  • Exposure to machine learning or artificial intelligence-driven autonomy systems.
  • Background in simulation infrastructure design, distributed testing, or test data management.
  • Quality Assurance experience, including process definition, metrics, and validation tracking.
  • Experience with aerospace, defense, or mission-critical software.
  • Active Secret clearance preferred.

About the Company

Shield AI

Builds autonomous aircraft for defense

Shield AI builds autonomous aircraft and flight software for military and allied defense customers, with a focus on operations where conventional remote control breaks down. Its Hivemind AI pilot handles decisions during a mission, while the V-BAT aircraft gathers intelligence and locates targets. Aircraft makers use its software tools to develop and test their own autonomy, and its Aechelon business supplies visual and sensor simulation for pilot training. The company earns money from aircraft sales, autonomy software and contracted engineering and operational services. Shield AI was founded in 2015 and is headquartered in San Diego, California.

Company size
1,001-5,000
Company stage
Series H
Total funding
$4.8B
Headquarters
San Diego, CA
Founded
2015

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