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Senior Engineer, Systems Test (R3378)

Shield AI
Washington, United Statesfull_timeVerifiedPosted 31 Mar 2025

About the role

Founded in 2015, Shield AI is a venture-backed defense technology company with the mission of protecting service members and civilians with intelligent, autonomous systems. Its products include Hivemind Enterprise—EdgeOS, Pilot, Commander, and Forge—as well as V-BAT and Sentient Vision Systems (wide-area motion imaging software). With offices in San Diego, Dallas, Washington, D.C., Abu Dhabi (UAE), Kyiv (Ukraine), and Melbourne (Australia), Shield AI’s technology actively supports U.S. and allied operations worldwide.  For more information, visit www.shield.ai. Follow Shield AI on LinkedIn, X and Instagram.    
Are you a passionate and innovative engineer looking to help develop state-of-the-art AI aircraft? Are you eager to make a positive difference in the world? Do you want to work alongside mission driven and values focused teammates? Shield AI is just the place for you!   
The Hivemind Solutions Test department (HMS Test) is a group on a mission to build comprehensive and robust testing infrastructure that supports the development and deployment of the world’s best AI pilot and most reliable aircraft. Hivemind Test is dedicated to ensuring the highest level of quality, reliability, and performance in our Hivemind software ecosystem. This ecosystem includes software for AI behaviors, embedded systems, system integration, and more. Our group is charged with validating and verifying our Hivemind software meets reliability standards and is operationally ready to meet mission objectives on aircraft, such as real world jets, Shield AI’s V-BAT and beyond.  
As a Hivemind Solutions Systems Test Engineer, you will be at the epicenter of integration and testing for deploying our Hivemind Software and AI Pilot on 3rd Party Platforms. You will be planning and executing the integration and testing of SW and HW systems throughout the Software Development Life Cycle, preparing them for simulation demonstrations and on-ground and in-flight test campaigns. Our test campaigns are hands-on and fast paced, with lots of planning, documentation, communication, coordination, manual testing, scripted testing, test reviewing, debugging, and system verification. Your efforts will be rewarded with successful flight test events and your contributions will play a key role in developing an AI autopilot, enabling intelligent aircraft, historic aviation firsts and fulfilling our mission to protect service members and civilians the world over! 

What You'll Do:

  • Work with Hivemind and Hivemind Solutions engineering to test and integrate software and hardware systems preparing for simulation milestones and flight tests. 
  • Support on-site flight testing that involves system configuration, running aircraft software, and data post-analysis.  
  • Hands-on debugging during on-ground and in-flight test campaigns.  
  • Write Python code to test complex Hivemind + aircraft SW and HW systems (with SW emphasis). 
  • Create SW based tools to improve flight testing and troubleshooting (Python and/or C++). 
  • Become a subject-matter-expert for running Hivemind tests on our Hardware-In-The-Loop and Vehicle-In-The-Loop systems. 
  • Run simulated flight tests to validate Hivemind + aircraft subsystems. 
  • Contribute to software utilities and automated test suites for Hardware-In-The-Loop infrastructure. 
  • Contribute to and execute test plans to validate Hivemind SW and HW systems.  
  • Create test team data Dashboards to provide high-level results visibility and data analysis. 
  • Review artifacts related to simulated and real flight test data for any anomalous behavior 
  • Identify, analyze, and document software defects, issues, and inconsistencies in software behavior. 
  • Drive continuous improvement in testing methodologies, tools, and processes

Required Qualifications:

  • Typically requires a minimum of 5 years of related experience with a Bachelor’s degree; or 4 years and a Master’s degree; or 2 years with a PhD; or equivalent work experience. 
  • The ability to obtain and maintain a SECRET Clearance. US citizenship is required as only US citizens are eligible for a security clearance. 
  • Proficiency in Python. 
  • Experience in robotics, small UAS, or related hands-on engineering projects. 
  • Strong analytical, problem-solving, and debugging skills .  
  • Passionate about intelligent aircraft systems.  
  • Excellent communication and collaboration skills, with the ability to work effectively with cross-functional software, hardware and mechanical engineering teams.  
  • Adaptability and a willingness to learn new technologies and methodol

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Company

Shield AI

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