System Design & QA Intern: AI-Driven Simulation

McKesson; Town of Texas (WI); On-site; USD 24,000 - 40,000; Full time

Benefits offered by this job

Paid Internship

Full time / 10 weeks

Job summary

McKesson is seeking an intern to support MAPS System Design Engineering and Quality teams through simulation modeling, design validation, portfolio analysis, and AI-enabled process improvement initiatives. This paid internship is full time for 10 weeks and based in Irving, TX.

You'll assist with Simio modeling, analyze automation system performance, participate in requirements validation and testing, and create dashboards and presentations to support decision making.

Qualifications

• Pursuing a degree in Industrial Engineering, Systems Engineering, Engineering Management, Data Analytics, or a related field.
• Analytical mindset with strong problem-solving skills.
• Experience with data analysis tools, modeling, or simulation software preferred.

Responsibilities

• Assist with Simio modeling and simulation activities.
• Support analysis of automation system performance and design alternatives.
• Participate in requirements validation, testing, and quality assurance activities.
• Analyze operational and performance data to identify trends and improvement opportunities.
• Evaluate opportunities to apply AI and automation to engineering and quality processes.
• Create dashboards, documentation, and presentations to support decision making.

Skills

Simio modeling

Data analysis

Problem solving

AI awareness

Education

Industrial/Systems Engineering or related field

Data Analytics

Tools

Simio

Simulation software

Job description

McKesson is seeking an intern to support MAPS System Design Engineering and Quality teams through simulation modeling, design validation, portfolio analysis, and AI-enabled process improvement initiatives. This paid internship is full time for 10 weeks and based in Irving, TX.

You'll assist with Simio modeling, analyze automation system performance, participate in requirements validation and testing, and create dashboards and presentations to support decision making.