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!
About the Role
The Product Support Engineering Intern (Sustainment & Data) position at Shield AI focuses on optimizing the reliability, availability, and maintainability (R&M) of autonomous defense systems. You will develop critical sustainment tools, analyze logistics data, and build data pipelines to track fleet health.
Required Qualifications
Current student pursuing a degree in Industrial Engineering, Systems Engineering, Data Science, Aerospace, Mechanical Engineering, or a related STEM field.
Strong proficiency in Python, SQL, R, or data visualization tools (e.g., Tableau, Power BI).
Solid understanding of probability, statistics, and engineering economics as applied to reliability and logistics.
Effective communication skills to translate complex data sets into actionable engineering recommendations.
Ability to commit to an on-site, 10-week full-time internship program.
Preferred Qualifications
Prior experience or coursework in reliability engineering, logistics engineering, or predictive maintenance.
Familiarity with database design, data warehousing, or system architecture concepts.
Knowledge of aerospace or military sustainment standards (e.g., MIL-HDBK-217, MIL-STD-1629).
Project Scope & Description
Develop Sustainment Tools: Create, maintain, and optimize tools, dashboards, and data pipelines/systems to track fleet metrics and maintenance data.
Logistics & R&M Engineering: Assist with Reliability, Availability, and Maintainability (R&M) analyses, including Failure Mode, Effects, and Criticality Analysis (FMECA).
Data Integration: Clean and analyze telemetry, maintenance logs, and supply chain data using programming languages and tools like Python, SQL, Palantir Foundry.
FRACAS Management: Support the Failure Reporting, Analysis, and Corrective Action System (FRACAS) to identify trends in component failures and improve product lifecycle management.
Cross-Functional Collaboration: Partner with software engineering, logistics, and field operations to automate data collection and improve technical documentation.
