
Job Overview
Location
Dallas, Texas
Job Type
Full-time
Category
Software Engineering
Date Posted
April 7, 2026
Full Job Description
đź“‹ Description
- • As a Staff Engineer, Software Test at Shield AI, you will play a critical role in ensuring the safety, reliability, and mission readiness of advanced unmanned aircraft systems, directly contributing to the protection of service members and civilians through intelligent autonomous technology.
- • Your day-to-day responsibilities will include designing and executing comprehensive test strategies for flight-critical software systems, developing detailed test plans and procedures, conducting verification and validation (V&V) activities, analyzing test data from hardware and software components, and troubleshooting complex system-level issues in collaboration with engineering, manufacturing, and program teams.
- • Shield AI is a venture-backed deep-tech innovator founded in 2015 with a mission to protect lives using AI-powered autonomous systems. The company develops cutting-edge products like the V-BAT and X-BAT aircraft, Hivemind Enterprise, and Hivemind Vision, serving defense and security operations across the U.S., Europe, Middle East, and Asia-Pacific.
- • In this role, you will deepen your expertise in aerospace software testing, gain hands-on experience with DO-178C and DO-254 compliance, lead cross-functional test efforts, and grow into a technical leader shaping the quality and safety of next-generation autonomous flight systems.
Skills & Technologies
About Shield AI, Inc.
Shield AI develops autonomous systems and artificial intelligence for defense and commercial aviation. Its Hivemind AI pilot enables unmanned aircraft and drones to operate without GPS, communications, or remote pilots. The company’s products include the V-BAT vertical takeoff and landing drone and software for fighter aircraft autonomy. Founded in 2015, Shield AI serves U.S. and allied military forces, focusing on contested environments and battlefield applications. The company integrates machine learning, sensor fusion, and edge computing to provide resilient, intelligent platforms for intelligence, surveillance, reconnaissance, and strike missions.
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