Simulation Engineer Intern

Liablix; Bologna; On-site; EUR 7,800 - 10,000; Full time

Benefits offered by this job

Mentorship

Hands-on experience

Internship stipend €800/month

Hybrid or remote setup

Job summary

Liablix is seeking a Simulation Engineer Intern to join our startup team in Bologna or Florence, Italy. This on-site internship offers hands-on experience developing and validating vehicle collision simulations and integrating results with our AI-based reconstruction system.

You will work with mechanical engineering and software peers, learning CAD/Multibody/FEA tools, scripting in Python or MATLAB, and contributing to data automation and reporting pipelines.

Qualifications

• Master’s or Bachelor’s degree in Mechanical Engineering, Automation Engineering, Aerospace Engineering, or related fields.
• Strong understanding of mechanics, vehicle dynamics, and impact energy dissipation.
• Familiarity with CAD, or any Multibody/FEA tools (e.g., LS-Dyna, MATLAB/Simulink, Adams, or similar).
• Basic programming skills (Python, MATLAB, or C++) are a plus.

Responsibilities

• Accident Simulation: Develop and test vehicle collision simulations using physics-based engines.
• Model Validation: Compare simulation results with real-world crash data to validate accuracy and refine model parameters.
• Automation & Tools: Help automate data preparation, simulation workflows, and reporting pipelines.
• Cross-Functional Collaboration: Work alongside AI and software engineers to connect simulation outputs with our AI-based reconstruction system.

Skills

Mechanics

Vehicle dynamics

Python

Analytical mindset

Education

Mechanical/Automation/Aerospace Engineering degree

Tools

LS-Dyna

MATLAB/Simulink

CAD/Multibody/FEA tools

Job description

Simulation Engineer Intern | Internship Full time

€800/month.

Bologna or Florence, Italy.

On-site presence required. This is not a fully remote position.

What You’ll Do

• Accident Simulation: Develop and test vehicle collision simulations using physics-based engines.
• Model Validation: Compare simulation results with real-world crash data to validate accuracy and refine model parameters.
• Automation & Tools: Help automate data preparation, simulation workflows, and reporting pipelines.
• Cross-Functional Collaboration: Work alongside AI and software engineers to connect simulation outputs with our AI-based reconstruction system.

What We’re Looking For

• Master’s or Bachelor’s degree in Mechanical Engineering, Automation Engineering, Aerospace Engineering, or related fields.
• Strong understanding of mechanics, vehicle dynamics, and impact energy dissipation.
• Familiarity CAD, or any other Multibody/FEA tools (e.g., LS-Dyna, MATLAB/Simulink, Adams, or similar).
• Basic programming skills (Python, MATLAB, or C++) are a plus.
• Analytical mindset, curiosity, and attention to detail.
• Proactive and eager to learn in a fast-paced startup environment.
• Fluency in Italian is required for this role.

What We Offer

• Mentorship by world-class experts: Work directly with Liablix’s engineering team.
• Hands-on experience: Your simulations will be used to improve real accident reconstructions.
• €800/month internship allowance.
• Flexibility: Hybrid or fully remote setup, with flexible working hours.
• Learning environment: Exposure to AI, automation, and 3D reconstruction workflows.
• Opportunity for full-time hire: Outstanding interns will be considered for full-time positions after the internship.

Culture Fit

We’re a fit if:

• You love solving complex physical problems and want to see your models make a real impact.
• You’re curious, driven, and excited to learn from some of the best minds in simulation.
• You thrive in a multidisciplinary team combining mechanics, AI, and product design.

We’re not a fit if:

• You prefer routine work or predefined corporate tasks.
• You’re not comfortable experimenting and iterating fast.

Why join us

Tired of academic projects that never leave the lab?

At Liablix, your work will be used in real accident reconstructions—helping experts, insurers, and AI systems understand reality better.

You didn’t buy Bitcoin in 2009, but you joined Liablix in 2026. Everyone says they want to join a unicorn early. Few actually do.