Senior Verification and Validation Engineer (R4835)

DallasFull Time Employeesenior

QA & TestingValidation Engineer

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Overview

Founded in 2015, Shield AI is a venture-backed deep-tech company with the mission of protecting service members and civilians with intelligent systems.

Technical Tools

QA & TestingValidation Engineer

Founded in 2015, Shield AI is a venture-backed deep-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include the V-BAT and X-BAT aircraft, Hivemind Enterprise, and the Hivemind Vision product lines. With offices and facilities across the U.S., Europe, the Middle East, and the 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.

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

5+ 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, PhD degree in Systems Engineering, Software Engineering, Computer Science or a related field

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++