Autonomy Software Test & Automation Engineer

Shield

Washington (District of Columbia)

On-site

USD 120,000 - 150,000

Full time

11 days ago

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Job summary

Shield AI is seeking a Software Test & Automation Engineer (L2) to join the Software Test & Automation Team. You will develop automated tests, improve validation tooling, analyze performance, and support system-level verification for autonomous systems.

You will gain hands-on experience with autonomy software, simulation environments, hardware-in-the-loop systems, and real-world robotic platforms while contributing to tools and processes that measure software quality and mission readiness.

Qualifications

  • Master's degree in required fields; equivalent practical experience may be considered.

Responsibilities

  • Develop Python-based automated tests, test utilities, and analysis tools.
  • Support verification and validation across simulation, SIL, HIL, VIL, and system environments.
  • Build and improve regression, integration, functional, and performance tests.
  • Analyze test results and help debug software and integration issues.
  • Create scripts/tools to reduce manual testing and improve repeatability.
  • Contribute to software quality metrics, dashboards, and readiness assessments.
  • Assist with integrating automated tests into CI/CD workflows.
  • Collaborate with autonomy software, systems engineering, flight test teams.
  • Participate in laboratory and hardware testing of autonomous systems and components.
  • Identify opportunities to improve test coverage, automation, and documentation.

Skills

Python programming
Problem-solving
Teamwork
Software debugging

Education

Master's degree in Computer Science, Computer Engineering, Aerospace Engineering, Mechanical Engineering, Systems Engineering, or related technical discipline

Tools

Git
Docker
Linux

Job description

Shield AI is seeking a Software Test & Automation Engineer (L2) to join the Software Test & Automation Team. You will develop automated tests, improve validation tooling, analyze performance, and support system-level verification for autonomous systems.

You will gain hands-on experience with autonomy software, simulation environments, hardware-in-the-loop systems, and real-world robotic platforms while contributing to tools and processes that measure software quality and mission readiness.

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