Plant Simulation Engineer

Hashlist

Betim

Híbrido

BRL 167 400 - 245 520

Tempo integral

14 dias+

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Resumo da oferta

Hashlist is seeking a Plant Simulation Engineer to focus on model development and simulation-based engineering within automotive systems. The role emphasizes virtual test environments and software verification.

The ideal candidate has a Bachelor’s degree in engineering and 2–4 years of experience. Proficiency with MATLAB/Simulink and knowledge of plant model development is essential. The position offers a hybrid working model.

Qualificações

  • 2–4 years of experience developing virtual test platforms in automotive applications.
  • Strong knowledge of plant model development for automotive systems.
  • Good understanding of ECU architecture and the use of software emulators.

Responsabilidades

  • Develop plant models for automotive systems such as sensors and vehicle dynamics.
  • Support model-based development and simulation activities using MATLAB/Simulink.
  • Contribute to CI/CD-oriented workflows for virtual platform development and testing.

Conhecimentos

Plant model development
MATLAB/Simulink
Virtualization
Embedded software development
Troubleshooting
Scripting tools
Continuous integration

Formação académica

Bachelor’s degree in Mechanical Engineering or related field

Ferramentas

dSPACE
ETAS
QTronic Silver
GT Power

Descrição da oferta de emprego

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
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