Hivemind Integration & Operations Engineer (R4164)

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 nine 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.  Job Description: At Shield AI, our mission is to protect service members and civilians with intelligent systems that are deployed in the world’s most critical environments. As an Engineer on our Software Systems team, you’ll play a central role in delivering integrated solutions built around our core autonomy platform—Hivemind—which is already operating in high-stakes, real-world missions.   This isn’t a traditional engineering role. You’ll work at the intersection of software, systems architecture, and autonomy—partnering across teams to turn complex design visions into operational reality. You won’t just build systems; you’ll help define how autonomous technologies are designed, developed, and deployed. In this role, you will collaborate closely with:   -US and international programmatic leadership to determine the appropriate System Engineering level of effort   -System Design Teams (e.g., Human Factors, UX, Architecture, etc.) to decompose solution designs to actionable levels of detail   -System Development & Test (e.g., Development, Integration, Test) to define system architectures   What you'll do:

Define end-to-end system requirements, from solution level to specific  implementations of software  

Support the design & development process for the software system architecture  

Use MBSE tools to document, maintain & extend existing architecture in support of new integrations & capabilities  

Develop and maintain models using Unified Modeling Language (UML), Systems Modeling Language (SysML), and/or Unified Profile  

Develop SysML models with emphasis on system decomposition, functions, interfaces, and behavior  

Collaborate with SMEs for improved tooling and connection to code for automated system models  

Lead cross-functional teams on projects  

Collaborate to define implementations of the systems engineering processes  

Engage cross-functionally with product management, program management, mechanical engineering, embedded engineering, business development, and other company leaders  

Report status, risks, accomplishments, expectations to senior leadership

Required qualifications:

A minimum of 5 years of systems engineering or 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.  

B.S. degree in a STEM discipline (e.g., Software, Aerospace, Mechanical, Electrical Systems Engineering)  

Experience with Systems Engineering practices and principals, including writing, organizing, and verifying requirements  

Experience with MBSE and related efforts  

Experience working in cross-functional teams  

Excellent communication skills, both written and verbally  

Organized and methodical  

Software engineer experience in C++ and/or Python  

Experience in reading, interpreting, and applying engineering drawings, including assembly drawings, parts lists, wiring diagrams, and schematics  

Demonstrated record of working hard, being a trustworthy teammate, holding yourself and others to high standards, and being kind to others

Preferred qualifications:

Expertise with, MAVLink Ardupilot, QGC and Mission Planner  

Expertise with MBSE, inclusive of use of Cameo API and Velocity Template Language  (VTL)  

Expertise with Requirement & Design decomposition  

Experience in any/all of the following: Autonomy, Aircraft, Unmanned Vehicles