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Engineering: Digitalization & Improvement Intern

Foxconn Industrial InternetHouston, TX

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Overview

Schedule
Part-time
Career level
Senior-level
Remote
On-site
Benefits
Flexible/Unlimited PTO
Career Development

Job Description

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, NumPy, or OpenPyXL — 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's or Master’s degree in Industrial Engineering, Manufacturing Engineering, Mechanical Engineering, Electrical Engineering, Computer Science, Computer Engineering or 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 workstreams 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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FAQs About Engineering: Digitalization & Improvement Intern Jobs at Foxconn Industrial Internet

What is the work location for this position at Foxconn Industrial Internet?
This job at Foxconn Industrial Internet is located in Houston, TX, according to the details provided by the employer. Some roles may also include multiple work locations depending on the requirement.
What pay range can candidates expect for this role at Foxconn Industrial Internet?
Employer has not shared pay details for this role.
What employment applies to this position at Foxconn Industrial Internet?
Foxconn Industrial Internet lists this role as a Part-time position.
What experience level is required for this role at Foxconn Industrial Internet?
Foxconn Industrial Internet is looking for a candidate with "Senior-level" experience level.
What benefits are offered by Foxconn Industrial Internet for this role?
Foxconn Industrial Internet offers following benefits: Flexible/Unlimited PTO and Career Development for this position. Actual benefits may vary depending on the employer's policies and employment terms.
What is the process to apply for this position at Foxconn Industrial Internet?
You can apply for this role at Foxconn Industrial Internet either through Sonara's automated application system, which helps you submit applications 10X faster with minimal effort, or by applying manually using the direct link on the job page.