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4 дня назад

Advanced Manufacturing Intern

18 - 37$
Формат работы
onsite
Тип работы
fulltime
Грейд
trainee
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Advanced Manufacturing Intern (Manufacturing Engineering/Data Analytics): Supporting factory data visualization, predictive analysis, process optimization, and manufacturing engineering improvements with an accent on weld, paint, and assembly data, automation, and production-floor analysis. Focus on creating Ignition dashboards, analyzing workstations and production cells, balancing lines, and developing layouts, fixtures, and tooling.

Location: McConnellsburg, Pennsylvania, United States; onsite work combining office duties with field and production-floor activity.

Salary: $18.00–$37.00 per hour

Company

JLG, an Oshkosh company, develops access equipment including mobile elevating work platforms, telehandlers, utility vehicles, and accessories.

What you will do

  • Support visualization of factory quality, availability, and performance data.
  • Create custom Ignition dashboards and analyze weld, paint, and assembly data for predictive models.
  • Identify opportunities for automated feedback, smart torque tools, and robotic welding systems.
  • Participate in time studies, line balancing, ergonomic assessments, and workstation or production-cell analyses.
  • Provide input on manufacturing fixtures and tooling, and create or revise plant layout drawings using AutoCAD or similar tools.
  • Learn and use ERP manufacturing software while supporting continuous improvement projects.

Requirements

  • Currently pursuing a bachelor's degree in data analytics, industrial engineering, manufacturing engineering, mechanical engineering, or computer science.
  • Cumulative GPA of 3.0 or above.
  • Ability to work across office, field, and production environments, including standing, walking, climbing stairs, moderate lifting up to 50 pounds, and exposure to varying temperatures or noise levels.
  • Ability to shift between detailed cognitive work and occasional physical tasks.

Nice to have

  • Proficiency in Excel and SQL.
  • Familiarity with Power BI.
  • Knowledge of lean manufacturing, Six Sigma, or industrial process optimization.

Culture & Benefits

  • Opportunities to contribute ideas and suggestions to manufacturing improvement efforts.
  • People-first culture with opportunities to support team member growth and success.
  • Reasonable accommodations are available for qualified individuals with disabilities.
  • Equal opportunity employment practices apply.

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