Plant Simulation Engineer

Hashlist; Auburn Hills (MI); Hybrid; USD 75,000 - 95,000; Full time

Job summary

Hashlist is seeking a Plant Simulation Engineer in Auburn Hills, MI, to work on next-generation virtual development platforms. This role emphasizes plant model development for vehicle systems with a focus on simulation-based engineering.

The ideal candidate has a Bachelor’s degree in Engineering and 2–4 years of relevant experience. Responsibilities include developing automotive system models and supporting virtual testing and validation efforts in a hybrid working environment.

Qualifications

• 2–4 years of experience developing virtual test platforms in automotive applications.
• Strong knowledge of plant model development for automotive systems.
• Experience with physical-based or data-based modeling techniques.

Responsibilities

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

Skills

Plant model development

Simulation-based engineering

MATLAB/Simulink

Troubleshooting

Continuous Integration/Continuous Deployment

Education

Bachelor’s degree in Mechanical, Electrical, or Computer Engineering

Tools

dSPACE

ETAS

QTronic Silver

VirtualTarget

Model.CONNECT

VDK

Job description

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.

• Location: Auburn Hills, MI, US
• 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