Test Engineering (AI & Automation) Intern - Summer 2026

Job Posting Start Date 04-21-2026 Job Posting End Date 04-26-2026

Flex is the diversified manufacturing partner of choice that helps market-leading brands design, build and deliver innovative products that improve the world.

A career at Flex offers the opportunity to make a difference and invest in your growth in a respectful, inclusive, and collaborative environment. If you are excited about a role but don't meet every bullet point, we encourage you to apply and join us to create the extraordinary.

Job Summary

To support our extraordinary teams who build great products and contribute to our growth, this Summer, we're looking to add a Test Engineering (AI/Automation) Intern located in our Memphis, TN site.

Reporting to the Process Engineering Manager, the student will assist with daily engineering tasks while learning, collaborating and working alongside Engineers and IT professionals.

What a typical day looks like:

• Assist in troubleshooting hardware (scanners, printers, PCs, tablets, handheld devices) and support maintenance of warehouse networks, Wi-Fi coverage, and access points.
• Help configure user accounts, permissions, and devices under supervision of IT staff and perform system checks and routine preventive maintenance on warehouse equipment.
• Provide basic support for Warehouse Management System (WMS) tickets and issues.
• Monitor system dashboards and identify abnormalities in material flow.
• Assist in testing new features, patches, and system updates.
• Document system workflows, procedures, and troubleshooting steps.
• Support development of AI-enabled tools for forecasting, quality checks, and bottleneck detection.
• Analyze warehouse operational data using Python, SQL, or Power BI.
• Build small AI/ML models (e.g., anomaly detection, demand prediction, image classification) under mentorship.
• Assist in implementing AI technology for barcode verification, predictive maintenance, and cycle count optimization.
• Evaluate large datasets to identify trends and make recommendations.
• Work with engineering teams on RFID, IoT sensors, AGV/AMR support, or conveyor control data flows.
• Participate in process-mapping sessions to identify automation opportunities.
• Help develop digital tools (Power Apps, Power Automate, Excel macros) to streamline warehouse processes.

• Currently enrolled student pursuing a degree in Industrial Engineering, Computer Science, Data Science, or related field (undergrads only).
• Basic understanding of networking, operating systems, and troubleshooting.
• Coursework or experience with AI/ML concepts (classification, regression, NLP, computer vision, etc.).
• Familiarity with Python, SQL, or Power BI is preferred.
• Strong analytical, problem-solving, and communication skills.
• Ability to work in active warehouse environments.

• Available to work 40 hours/week (in-person) for 10-12 week Summer assignment
• Currently enrolled in 4-year accredited university
• 3.0 minimum GPA