Shield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software, V-BAT and X-BAT aircraft, and Aechelon simulation and synthetic reality technologies. With offices and facilities across the U.S., Europe, the Middle East, and 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.
Our Summer Internship program is a wonderful opportunity for Fall and Spring graduates to immerse themselves in an innovative and mission driven culture. Our paid internship program will provide you with hands on mentorship, an opportunity to add real contribution to our company via your internship project, and a possible job offer at the end. You will have the chance to make lifelong friendships, expand your network, and learn all about what it's like to work in a high-growth, fast scaling tech unicorn. You'll take part in company sponsored events and enjoy exploring a new city. Read on below to learn more about this unique internship!
Overview
Shield AI is looking for a Solutions Systems Engineer Intern to help turn operational concepts into fully designed autonomous capabilities. You'll work alongside experienced systems engineers to take a real Concept of Operations (CONOPS) and break it down from top-level mission behavior to the individual software components that deliver it. That work covers Mission Autonomy, Command & Control (C2), and Mission Planning.
Over the internship, you'll take a project from planning through execution. You'll build requirements, interfaces, and Model-Based Systems Engineering (MBSE) artifacts, present at regular design reviews, and deliver a complete design package to key stakeholders. At the end, you'll demonstrate your work to the wider Shield AI community.
Required Qualifications
Currently an Undergraduate, or graduate student
Pursuing a degree in Systems Engineering, Computer Science, or a related STEM field.
Background in autonomy, robotics, and/or aerospace.
Exceptional written and verbal communication skills.
A track record of owning project outcomes and delivering exceptional results.
Preferred Qualifications
Experience with MBSE, including knowledge of SysML and/or experience with Cameo.
Exposure to requirements development and traceability.
Familiarity with autonomy architectures, C2 systems, or mission planning tools.
Experience leading or contributing to team-based engineering projects.
A record of working hard, being a trustworthy teammate, holding yourself and others to high standards, and being kind to others.
