Summer 2027 - Product Support Engineering Intern 6470 - 6442
Dallas, TX · Internship · Engineering
$37.00 – $97.00 per hour
Posted · Listed from Lever
About the job
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.
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