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.
Skills Required
- 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 such as Tableau or Power BI
- Understanding of probability, statistics, and engineering economics applied to reliability and logistics
- Effective communication skills for translating complex data sets into actionable engineering recommendations
- Ability to commit to an on-site, 10-week full-time internship program
- 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, such as MIL-HDBK-217 and MIL-STD-1629
What the Team is Saying
What We Do
At Shield AI, you won't wait years to see your work reach the field. You'll build hardware and software that operates in the real world right now, in the hands of the people who depend on it. Hivemind, our AI pilot, has been flying since 2018. It has flown more than 30 platforms, including an F-16, and it now sits under a U.S. Air Force production contract for Collaborative Combat Aircraft. When you write code or shape a system here, you contribute to technology with a proven flight record and a clear production future. V-BAT flies intelligence, surveillance, and reconnaissance missions with an operational record that stretches from Ukraine to the Indo-Pacific. It delivers eyes where they matter most, in the most demanding conditions on earth. The teams behind it watch their work get tested where the stakes are real. X-BAT takes its first flight this year. It's an AI-piloted fighter that needs no runway, built to operate where traditional aircraft can't. Join now and you help shape a program at its earliest, most formative stage. That's the kind of ground-floor work that defines a career. Do the most impactful work of your life, on problems that matter. Autonomy at this level asks a lot of you. You'll take on problems in perception, planning, and control that few teams anywhere are equipped to solve. You'll work across disciplines, from aerospace and robotics to machine learning and systems engineering, alongside people who hold themselves to an exacting standard and expect the same from you. Our mission is clear: protect service members and civilians with intelligent systems. That purpose runs through every decision, every design review, and every deployment. It's why the work here carries a weight you can feel. Ready to join our mission? Explore our open roles and find where you fit.
Why Work With Us
Founded in 2015 by a former Navy SEAL, Shield AI builds AI pilots and uncrewed aircraft. Veterans aren't an afterthought here, they're at every level. It's why the work carries weight: AI pilots and uncrewed aircraft flying real missions, from Ukraine to the Indo-Pacific, protecting service members and civilians.
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Shield Teams
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Shield Offices
Hybrid Workspace
Employees engage in a combination of remote and on-site work.
