Job Overview
Location
Dallas, Texas
Job Type
Full-time
Category
Software Engineering
Date Posted
June 3, 2026
Full Job Description
đź“‹ Description
- • Lead the end-to-end field integration and testing of Shield AI’s autonomous aerial systems, including V-BAT and X-BAT aircraft, ensuring seamless deployment in operational environments.
- • Coordinate cross-functionally with engineering, product, and field operations teams to define test protocols, validate system performance under real-world conditions, and document all integration outcomes.
- • Plan and execute field test campaigns across diverse geographic and environmental conditions, including urban, rural, and austere terrains, to validate system reliability and mission readiness.
- • Serve as the primary technical liaison between field teams and internal R&D, translating field feedback into actionable engineering requirements and system improvements.
- • Develop and maintain detailed test documentation, including test plans, checklists, failure analyses, and operational manuals used by field operators and support personnel.
- • Ensure all field integration activities comply with military and civilian safety standards, regulatory requirements, and Shield AI’s internal quality assurance protocols.
- • Train and mentor field technicians and integration specialists on system operation, troubleshooting, and maintenance procedures for Shield AI’s Hivemind Enterprise and Hivemind Vision platforms.
- • Monitor and report on key performance metrics during field deployments, identifying trends, anomalies, and systemic issues that impact mission success.
- • Collaborate with logistics and supply chain teams to ensure timely availability of spare parts, tools, and support equipment for field integration events.
- • Travel extensively to customer sites, test ranges, and operational theaters to oversee integration activities, conduct on-site diagnostics, and provide real-time technical support.
- • Maintain up-to-date knowledge of evolving military operational doctrines, threat environments, and emerging technologies to align Shield AI’s systems with user needs.
- • Present integration findings and test results to internal leadership and external stakeholders, including government and defense partners, with clear, data-driven summaries.
- • Lead root cause analysis for field failures, driving corrective actions and design iterations to prevent recurrence and enhance system robustness.
- • Manage timelines and resources for field integration projects, ensuring on-time delivery of tested and validated systems to end users.
- • Act as a subject matter expert on Shield AI’s autonomous platforms during customer demonstrations, site visits, and operational briefings.
🎯 Requirements
- • Bachelor’s degree in Engineering, Aviation, Systems Operations, or related technical field
- • Minimum of 5 years of experience in field integration, systems testing, or operational deployment of autonomous or unmanned systems
- • Proven track record of leading field test campaigns in military, defense, or high-reliability industrial environments
- • Strong understanding of UAV/UAS platforms, avionics, and mission-critical software systems
- • Ability to travel up to 50% of the time, including to remote and hazardous locations
- • Experience working with U.S. Department of Defense contractors or government agencies
🏖️ Benefits
- • Competitive salary and performance-based bonus structure
- • Comprehensive health, dental, and vision insurance
- • 401(k) with company match
- • Unlimited paid time off
- • Professional development stipend for certifications and training
- • On-site gym and wellness programs at Dallas headquarters
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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