Senior Digital Twin & Simulation Engineer (Remote)

Körber; Porto; Híbrido; EUR 70 000 - 95 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Flexible working hours

Remote work option

Health insurance for family

Resumo da oferta

Körber Supply Chain seeks an experienced Simulation & Digital Twin Software Expert to design and implement simulation solutions for industrial machines and material handling systems. You will enable validation, optimization and visualization of automation technologies before deployment in real-world environments.

The role requires a Master’s or PhD in a related field, 5+ years in simulation, proficiency in Python and C++, and collaboration across interdisciplinary teams.

Qualificações

• Master's or PhD in a related field.
• 5+ years in simulation, digital twins, or physics-based modeling.
• Experience with physics-based platforms such as Nvidia Isaac Sim/Lab, MuJoCo, Unity.
• Proficient in Python and C++.
• Knowledge of machine control architectures and real-time interfaces is a plus.
• Familiar with Linux, Git and Docker.

Responsabilidades

• Develop end-to-end simulation and digital twin models for conveyors and automation systems.
• Design and maintain software-in-the-loop environments for validation and testing.
• Create and test simulation assets modeling machine behavior, sensors and processes.
• Integrate simulation into development workflows for sim-to-real deployment.
• Research emerging tech in simulation, physics-based modeling and virtual commissioning.
• Collaborate with software, machine control, robotics and mechatronics teams.

Conhecimentos

Python

C++

Linux

Git

Docker

English

Formação académica

Master's or PhD in related field

Ferramentas

Nvidia Isaac Sim

MuJoCo

Unity

Descrição da oferta de emprego

Körber Supply Chain seeks an experienced Simulation & Digital Twin Software Expert to design and implement simulation solutions for industrial machines and material handling systems. You will enable validation, optimization and visualization of automation technologies before deployment in real-world environments.

The role requires a Master’s or PhD in a related field, 5+ years in simulation, proficiency in Python and C++, and collaboration across interdisciplinary teams.