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.
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