Intern - Tech Ops Heavy Maintenance Execution Strategy (Summer 2027)

United Airlines is a global airline with a Technical Operations organization responsible for maintaining aircraft and supporting fleet readiness. This internship supports heavy maintenance execution strategy through engineering, cost analysis, data analytics, maintenance planning, process optimization, and aircraft maintenance scheduling projects.

What you'll do:

• Provide aircraft engineering support to line and check aircraft
• Review, evaluate and resolve next steps on manufacturer bulletins, management requests and regulatory requirements on United Airlines Airbus/Boeing aircraft
• Prepare cost analysis on projects
• Investigate and provide decisions for non-conformances resulting from in-service failures or maintenance incidents
• Data extraction, normalization and analysis, data-based modeling/forecasting
• Trend valuations across fleet/stations specific to time in check, work package scope, and costs
• Process optimization and mapping out existing gaps and possible mitigations
• Create, maintain and implement long term airframe maintenance plans
• Building, maintaining and modeling aircraft maintenance visit scenarios to minimize cost and increase aircraft utilization
• Scheduling optimization for aircraft maintenance events
• Building work packages and coordinating aircraft heavy maintenance visits

What they're looking for:

• Must be pursuing a degree in Mechanical Engineering, Aerospace Engineering, Electrical Engineering, Industrial Engineering, Mathematics, Supply Chain/Logistics, Business or another related field
• Must have a minimum of 12 semester hours in core degree course work
• Individual should be a rising junior (at minimum) when internship begins
• Must be available for 10-12 weeks during Summer 2027
• Work related travel may be required, individuals must be able to travel without any restrictions, including internationally
• Applicants must be legally authorized to work in the US for any employer without sponsorship now or at any point in the future
• Demonstrated understanding of the capabilities and limitations of generative AI tools and the ability to leverage AI effectively to support research, analysis, content creation, and problem-solving
• Applies critical thinking to validate AI-generated outputs while adhering to organizational policies related to responsible AI use, data privacy, and security

Benefits:

• Paid internship
• Course credit hours may be considered depending on university’s guidelines
• Competitive benefits package
• Mentorship opportunities
• Medical insurance
• Space available travel privileges