Shield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software, V-BAT and X-BAT aircraft, and Aechelon simulation and synthetic reality technologies. With offices and facilities across the U.S., Europe, the Middle East, and 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.
As a Software Systems Test Engineer, you will be pivotal in driving integration testing of our full aircraft software system, integrating our autonomy, flight controller, and GCS software to qualify an intelligent, robust aircraft system. This role demands an engineer capable of overseeing system-level verification and validation, designing complex test scenarios, and ensuring that subsystem testing meets rigorous standards before proceeding to full system integration. You will marshal our aircraft software through full system verification & validation. Your work will directly impact the reliability and performance of our aircraft, preparing them for operational excellence in the field.
What You'll Do:
Generate detailed mission test scenarios that mimic real-world conditions to validate the performance of autonomy and flight control software.
Participate in design reviews for new features and design detailed test plans based on their requirements
Conduct and manage system verification and validation events, culminating in verified flight readiness.
Write test analyzers in Python to report and benchmark performance and qualification metrics of the system
Produce test coverage and release-readiness reports by aggregating test cases, results, and quality requirements
Recommend improvements to our simulation models and fault injection so that we can keep pushing the capabilities of our test suite before proceeding to flight
Required Qualifications:
10+ years of work experience in testing complex integrated software systems
Demonstrated expertise & experience in test automation, minimally writing software to automate testing, preferably leveraging simulation for automated integration testing
Strong experience with the software product development lifecycle, ideally for autonomy or vehicle systems
Great understanding of system architecture, requirement derivation, and test planning across the V-model
Experience with automating test cases in an existing test framework
Experience producing high-quality technical documentation, including test plans, quality-assurance reports, and operational procedures
Proven track record of successfully shipping products, showcasing the ability to navigate through development cycles, overcome obstacles, and deliver high-quality solutions to meet project deadlines and exceed expectations in a fast-paced environment
B.S., M.S, or PhD degree in Systems Engineering, Software Engineering, Computer Science or a related field
Preferred Qualifications:
Experience with autonomous or robotic systems
Experience with simulation software and hardware emulation
Background in a fast-paced, R&D or startup environment
Proficiency in build test automation
Proficiency in Python or C++
