S
Product Support Engineering Intern #6470 & #6442
Shieldai
Dallas, TexasFresher3h agovia Lever
This job at a glance
- Who can apply
- New grads and up to 1 year
- Must know
- ETLData visualizationPythonSQLRPower BI
- Nice to have
- Operations
- Work
- On-site in Dallas · internship
- Pay
- $37–$97 an hour
- Skill demand
- SQL18%Python13%Data visualization6%ETL1%of 99 similar entry-level jobs posted in the US this week
- Listed
- Oct 28, 2026 · still open
Sign in free to see which of these skills your resume already shows.
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.
Key Responsibilities
- 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.
Requirements & Tech Stack
- 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).