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Engineering: Digitalization & Improvement Intern

Job in Houston, Harris County, Texas, 77246, USA
Listing for: Foxconn Industrial Internet
Part Time, Apprenticeship/Internship position
Listed on 2026-08-14
Job specializations:
  • Manufacturing / Production
    Lean Manufacturing / Six Sigma
Salary/Wage Range or Industry Benchmark: 28000 - 36000 USD Yearly USD 28000.00 36000.00 YEAR
Job Description & How to Apply Below

POSITION SUMMARY

Foxconn Industrial Internet is seeking motivated and analytically driven Engineering Interns to join our Engineering and Operations team in Houston, TX for the Fall 2026 Internship Program. This is a part-time, 20-hour-per-week role.(August 31 – November 27, 2026).

Interns will work directly alongside engineering, manufacturing, quality, and operations teams to improve operational efficiency, standardize processes, and support digital transformation initiatives across our manufacturing environment. The work is real, the impact is measurable, and the projects span process improvement, reporting automation, manufacturing analytics, and dashboard development.

DUTIES AND RESPONSIBILITIES
  • Document, update, and improve Standard Operating Procedures (SOPs) for manufacturing and engineering processes to drive consistency and operational readiness.

  • Support the development of cosmetic and workmanship training programs for production and quality teams.

  • Standardize engineering and manufacturing reports, metrics, and documentation to improve clarity and usability across teams.

  • Analyze production, quality, and operational data to identify trends, inefficiencies, and improvement opportunities.

  • Support throughput, yield, and manufacturing performance tracking initiatives, including First Pass Yield (FPY), End-to-End Yield, and Units Per Hour (UPH) metrics.

  • Assist in the development and maintenance of dashboards, reports, and data visualizations that give operations teams real-time visibility into manufacturing performance.

  • Support reporting automation and digitalization projects using Excel, Python, and business intelligence tools such as Power BI or Tableau.

  • Collaborate cross-functionally with engineering, manufacturing, quality, and operations teams to identify opportunities for process improvement and automation.

  • Document project activities, reporting workflows, and improvement initiatives to ensure continuity and knowledge transfer.

  • Prepare reports, presentations, and project updates for stakeholders and leadership as needed.

  • Participate in continuous improvement and process optimization initiatives throughout the internship.

REQUIRED SKILLS & TECHNICAL PROFICIENCIES
  • Strong proficiency in Microsoft Excel for data analysis, reporting, and workflow documentation.

  • Experience with Python programming, automation, or data analysis — including libraries such as Pandas, Num Py, orOpenPyXL— is a plus.

  • Familiarity with SQL databases and data extraction techniques is a plus.

  • Experience with Power BI, Tableau, or similar business intelligence tools for dashboard and report development is a plus.

  • Understanding of manufacturing KPIs such as Yield, Throughput, UPH, and Production Performance Metrics is preferred.

  • Strong analytical, problem-solving, and data interpretation skills.

  • Strong written and verbal communication skills for cross-functional collaboration and stakeholder reporting.

QUALIFICATIONS
  • Currently enrolled in a Bachelor'sor Master’sdegree in Industrial Engineering, Manufacturing Engineering, Mechanical Engineering, Electrical Engineering, Computer Science, Computer Engineeringor a related field.

  • Detail-oriented and methodical, with a strong commitment to data accuracy and documentation quality.

  • Self-motivated and proactive, with the ability to manage assigned work streams independently while collaborating closely with the engineering and operations teams.

  • Comfortable working in a dynamic manufacturing environment where priorities can shift and adaptability is key.

  • Curious about process improvement, digitalization, and how data can drive better manufacturing outcomes.

  • Able to translate technical findings into clear, actionable summaries for both technical and non-technical audiences.

  • Minimum GPA of 3.0 or higher preferred.

WORK SCHEDULE & COMPENSATION
  • Part-time: 20 hours per week.

  • Flexible scheduling available to accommodate academic commitments.

  • Compensation commensurate with experience and qualifications. Foxconn Assembly, LLC is an Equal Opportunity Employer (EOE). All qualified candidates will receive consideration without regard to race, color, religion, gender, sexual orientation, national origin, age, disability, or marital status in accordance with applicable federal, state and local laws. Foxconn Assembly, LLC participates in E-Verify and will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U.S.

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