Engineer II, Software Test and Automation (R6221)

Shield AI's Software Test & Automation Team develops verification, validation, and automation capabilities for Hivemind autonomy across the Autonomous Collaborative Platform (ACP) portfolio.

As a Software Test & Automation Engineer (L2), you will work alongside experienced engineers to develop automated tests, improve validation tooling, analyze software performance, and support system-level verification activities for autonomous systems.

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

Responsibilities:

• Develop Python-based automated tests, test utilities, and analysis tools supporting autonomy software validation.
• Support verification and validation activities across simulation, SIL, HIL, VIL, and representative system environments.
• Build and improve regression, integration, functional, and performance tests with guidance from experienced engineers.
• Analyze test results, identify unexpected system behavior, and assist with debugging software and integration issues.
• Develop scripts and tools that reduce manual testing effort and improve the repeatability of test execution and analysis.
• Support the development of software quality metrics, dashboards, test reports, and readiness assessments.
• Assist with integrating automated tests into CI/CD workflows to provide rapid feedback to software developers.
• Collaborate with autonomy software, systems engineering, flight test, and integration teams to understand system behavior and validation requirements.
• Participate in laboratory and hardware testing of autonomous systems, sensors, flight controllers, networking equipment, and mission computers.
• Identify opportunities to improve test coverage, automation, documentation, and validation workflows.

Requirements:

• Master's degree in Computer Science, Computer Engineering, Aerospace Engineering, Mechanical Engineering, Systems Engineering, or a related technical discipline; equivalent practical experience may be considered.
• Python programming experience from coursework, projects, research, or student teams.
• Familiarity with software development and debugging fundamentals.
• Interest in robotics, autonomy, aerospace, embedded systems, or software testing.
• Strong problem-solving, communication, and teamwork skills.

Preferred Qualifications:

• Experience with Linux, Git, or Docker.
• Exposure to automated testing, unit testing, or integration testing.
• Experience with sensors, flight controllers, embedded systems, or networking.
• Coursework or projects in robotics, controls, autonomy, computer vision, or embedded systems