About The Position

Flex is a diversified manufacturing partner 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. For Summer 2026, Flex is seeking a Test Engineering (AI/Automation) Intern to be located at their Memphis, TN site. This role reports to the Process Engineering Manager and involves assisting with daily engineering tasks, learning, collaborating, and working alongside Engineers and IT professionals. The company emphasizes creating extraordinary products and improving people's lives through the collective strength of 140,000 team members across 30 countries.

Requirements

  • 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.)
  • 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

Nice To Haves

  • Familiarity with Python, SQL, or Power BI

Responsibilities

  • 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
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