Simulation & Digital Twin Engineer focused on simulating manufacturing processes and developing digital twins. Collaborate across global teams to improve factory design and production systems.
Responsibilities
Develop and maintain process and production simulations for manufacturing lines, workcells, and factories
Create and manage digital twin models for production systems, including human, robotic, and automated operations
Perform capacity analysis, line balancing, and what-if studies to support manufacturing decisions
Support virtual commissioning, layout validation, and early-stage design reviews
Collaborate with industrial engineering, operations, automation, and R&D teams globally
Document models, assumptions, and results in a clear and structured manner.
Requirements
Bachelor’s Degree or higher in one of the fields: Mechanical Engineering, Industrial Engineering, Manufacturing Engineering, Mechatronics, Robotics, Systems Engineering, Computer Engineering, or Computer Science (with manufacturing or simulation focus)
Master’s degree preferred for senior roles
Experience in manufacturing, production engineering, or industrial engineering
Hands-on experience with process or production simulation
Experience modelling manufacturing systems, material flow, or automated production lines
Exposure to factory layout planning, capacity planning, or production optimization
Experience working in cross-functional and/or global teams
Process and/or discrete-event simulation
Manufacturing systems and production flows
Interpretation of production KPIs (cycle time, throughput, utilization, OEE)
Ability to analyse simulation results and translate them into actionable recommendations
Strong documentation and communication skills
Experience with one or more of the following platforms: Siemen Teknomatix, Process Simulate, Plant simulation, NVIDIA Isaac
Knowledge of robotics and automation systems, virtual commissioning and PLC concepts, CAD-to-simulation workflows, Python or scripting for simulation automation
Experience with digital twin, Industry 4.0, or smart manufacturing initiatives
Background in semiconductor, electronics, or high-mix manufacturing environments.
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