Simulation & Digital Twin Engineer

Key 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.



Required Qualifications

Education

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)

A Master’s degree is preferred for senior roles.

Professional Experience

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.



Technical Skills (Required)

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.



Soft Skills & Competencies

Strong analytical and problem-solving mindset.

Ability to work independently and manage multiple priorities.

Clear communication with technical and non-technical stakeholders.

Comfortable working across cultures, time zones, and disciplines.

Continuous learning mindset and interest in emerging digital technologies.