Senior Software Test and Automation Engineer (R4472)
Dallas, TexasAll locationsDallas, TexasSan Diego, California On-site
$110,000–$170,000 a yearJobFig found this opening at its original source and checks that it remains available.
About the role
Shield AI's Software Test & Automation Team develops the verification, validation, and automation capabilities that enable rapid delivery of Hivemind autonomy across the Expeditionary and Emerging Operations portfolio. Our mission is to provide objective evidence of software quality, reliability, and mission readiness by building scalable automated test frameworks, repeatable validation environments, and data-driven readiness assessments spanning simulation, Software-in-the-Loop (SIL), Hardware-in-the-Loop (HIL), and Vehicle-in-the-Loop (VIL) environments. As a Senior Software Test & Automation Engineer, you will design and develop automated test infrastructure, execute system-level verification activities, analyze software performance, and build the tooling that enables continuous validation throughout the development lifecycle. Working closely with autonomy software, systems engineering, digital infrastructure, and flight test teams, you will help ensure autonomy capabilities are validated, repeatable, and ready for operational deployment.
What you'll bring
- BS in Computer Science, Aerospace, Electrical, Mechanical Engineering or related field.
- 4–7 years developing software test, verification, automation, or validation solutions for robotics, autonomy, aerospace, or other complex distributed systems.
- Strong proficiency in Python for automation, testing, and data analysis.
- Experience developing automated test frameworks, test harnesses, or validation infrastructure.
- Experience with Linux-based development environments.
- Experience validating software in simulation, SIL, HIL, and/or representative hardware environments.
- Experience debugging complex software and system integration issues.
- Experience with CI/CD pipelines and continuous validation practices.
- Strong understanding of software verification, regression testing, and quality assurance methodologies.
- Experience with flight control systems such as ArduPilot or PX4.
- Experience with unmanned aerial systems (fixed-wing, quadrotor, or both)
- Background in autonomy, robotics, or aerospace systems