Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Понятные задачи для стажёра, практическая работа с моделированием производства и цифровыми двойниками, а также указанная почасовая оплата делают вакансию хорошей возможностью для обучения. При этом нужно учитывать работу на производстве и широкий диапазон оплаты.
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Разброс оплатыСовременные технологииПонятные задачиПрактический опытРабота на производстве
Оценка от Hirify AI
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Manufacturing Simulation Intern (Digital Twins): Building discrete event simulation models and digital twins of manufacturing cells and robotics with an accent on plant bottleneck analysis, staging capacity, production scenarios, and factory data integration. Focus on analyzing cycle times and operator movements, connecting PLC and sensor data, creating Ignition dashboards, and optimizing plant layouts and throughput.
Location: McConnellsburg, Pennsylvania, United States; onsite work across office and production environments
Pay range: $18.00–$37.00 per hour
Company
JLG, an Oshkosh company, develops access equipment including mobile elevating work platforms, telehandlers, utility vehicles, and accessories for customers worldwide.
What you will do
Build discrete event simulation models to identify plant bottlenecks, evaluate staging capacities, and test production scenarios.
Develop and connect digital twins of manufacturing cells and robotics using FlexSim, Emulate3D, and NVIDIA Omniverse.
Analyze cycle times, station configurations, and operator movements to support assembly line balancing and improve throughput.
Integrate industrial sensor and PLC data into simulation models and custom Ignition dashboards.
Create and revise 2D/3D plant layout drawings with AutoCAD or similar CAD tools.
Participate in continuous improvement initiatives, time studies, automation research, and engineering 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 in office, field, and production environments, including walking, standing, climbing stairs, moderate lifting up to 50 pounds, and exposure to varying temperatures or noise.
Ability to shift between detailed computer-based work and occasional physical tasks.
Nice to have
Advanced-degree studies or research in digital twins, industrial simulation, controls engineering, or robotics.
Experience with discrete event or robotics simulations, including FlexSim, Emulate3D, or Omniverse.
Strong Python programming skills or experience with C++ or C#, especially NVIDIA Omniverse Kit applications, extensions, or microservices.
Knowledge of controls engineering, PLC systems, industrial sensor or IoT data, lean manufacturing, Six Sigma, or industrial process optimization.
Culture & Benefits
Professional development, skills training, and opportunities to support employee growth.
People-first culture guided by integrity, perseverance, and collaboration.
Reasonable accommodations are available for qualified individuals with disabilities.
Pay is determined by role scope, experience, education, skills, and internal equity.
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