Remote Logistics Optimization Engineer Intern

Iron Mountain; Harrisburg (Dauphin County); On-site; USD 39,000 - 44,000; Full time

Benefits offered by this job

Mentorship

12-week internship

Job summary

Iron Mountain is seeking a motivated Logistics Engineer Intern to join our Warehouse & Logistics team. You will support solution design for new customer operations and drive data-driven process improvements across facilities.

The role emphasizes translating data into actionable engineering methods, collaborating with U.S. Operations and Solution Design teams, and contributing to continuous improvement initiatives while gaining mentorship and hands-on experience in a global leader in storage and

Qualifications

• Candidates must be currently enrolled as a rising senior graduating May 2028 or December 2028 pursuing a bachelor’s degree in Industrial Engineering, Supply Chain, or Operations Management.
• U.S. Citizenship status and legal work authorization for the duration of the internship are required.
• Strong knowledge of process improvement methodologies and analytics used in logistics and warehouse environments.
• Ability to translate complex data into actionable engineering methods and solutions.

Responsibilities

• Support design and engineering activities by reviewing data to optimize equipment, processes, and technology for new customers.
• Collaborate with U.S. Operations and Solution Design teams to embed automation and AI recommendations into design processes.
• Contribute to continuous improvement programs, analyze facility layouts, and improve material flow to boost productivity.

Skills

Data analysis

Analytics

Process improvement

Problem-solving

Education

Industrial Engineering

Supply Chain

Operations Management

Tools

Optimization tools

Job description

Iron Mountain is seeking a motivated Logistics Engineer Intern to join our Warehouse & Logistics team. You will support solution design for new customer operations and drive data-driven process improvements across facilities.

The role emphasizes translating data into actionable engineering methods, collaborating with U.S. Operations and Solution Design teams, and contributing to continuous improvement initiatives while gaining mentorship and hands-on experience in a global leader in storage and