Plant Simulation Engineer

Hashlist; Rüsselsheim am Main; Hybrid; EUR 65.000 - 85.000; Vollzeit

Zusammenfassung

A leading automotive technology company in Rüsselsheim am Main seeks a Plant Simulation Engineer to develop plant models for automotive systems. You will play a key role in virtual platform development, with responsibilities ranging from model-based simulation to software verification. Ideal candidates should have a Bachelor's degree in engineering and 2–4 years of experience in automotive applications. The position offers a hybrid work model, providing flexibility and engagement in cutting-edge technology environments.

Qualifikationen

• 2–4 years of experience developing virtual test platforms in automotive applications.
• Strong knowledge of plant model development for automotive systems.
• Good understanding of embedded software development.

Aufgaben

• Develop plant models for automotive systems.
• Contribute to virtual test platform development across MIL, SIL, and HIL environments.
• Support model-based development and simulation activities.

Kenntnisse

Plant model development

MATLAB/Simulink

System integration

C and C++

Troubleshooting

Ausbildung

Bachelor’s degree in Mechanical Engineering or related field

Tools

dSPACE

ETAS

QTronic Silver

Python

Jobbeschreibung

We are looking for a Plant Simulation Engineer to join a team working on next-generation virtual development and validation platforms for a major OEM. This role focuses on plant model development and simulation-based engineering for vehicle systems, with a strong emphasis on virtual test environments, model-based development, and software verification. The position sits at the intersection of system modeling, virtual ECU development, and automotive software integration, supporting early validation activities across multiple domains.

• Working model: Hybrid
• Employment type: Full-time, Contract or Freelance

Responsibilities

• Develop plant models for automotive systems such as sensors, actuators, e-powertrain, vehicle dynamics, braking, and related domains
• Contribute to virtual test platform development across MIL, SIL, and HIL environments
• Support model-based development and simulation activities using tools such as MATLAB/Simulink
• Work on virtual and soft ECU related activities, including co-simulation, virtualization, and system integration
• Apply software verification and validation methods in virtual development environments
• Support troubleshooting and resolution of platform and system-level issues
• Collaborate with cross-functional engineering teams on simulation, validation, and integration topics
• Contribute to CI/CD-oriented workflows for virtual platform development and testing
• Support early-stage development through model-driven testing, functional mockups, and proof-of-concept activities

Qualifications

• Bachelor’s degree in Mechanical Engineering, Electrical/Electronic Engineering, Computer Engineering, or a closely related engineering field
• 2–4 years of experience developing virtual test platforms in automotive applications
• Strong knowledge of plant model development for automotive systems
• Experience with physics-based or data-based modeling techniques, ideally with exposure to multibody dynamics or hydraulic system modeling
• Experience with virtualization, co-simulation, and system integration toolchains such as dSPACE, ETAS, QTronic Silver, VirtualTarget, Model.CONNECT, VDK, Siemens, or similar
• Good experience with MATLAB/Simulink and model-based development workflows
• Good understanding of embedded software development in C and C++, AUTOSAR software architecture, and auto-code generation processes
• Knowledge of CAN and related analysis tools
• Familiarity with software version control
• Good understanding of ECU architecture and the use of software emulators and debuggers
• Ability to troubleshoot and resolve platform issues with a system-focused mindset
• Experience with scripting or test automation tools
• Exposure to Python, VB, or VBnet is a plus

Nice to have

• Experience in Linux, AUTOSAR, or Android-based development and testing environments
• Exposure to ADAS, Ethernet interfaces, and related modules
• Experience with 1-D physical modeling tools such as GT Power or AMESim
• Familiarity with data acquisition and analysis tools such as ETAS INCA
• Experience with continuous integration, testing, and deployment practices
• Exposure to machine learning or deep learning algorithms
• Experience with dSPACE products
• ISTQB certification