INTERNSHIP - CAE Engineer (M/F)

OP Mobility; Sainte-Julie; Sur place; EUR 10 000 - 15 000; Plein temps

Avantages offerts par ce poste

Transportation allowance

Meals at company restaurant

Gym access

Concierge services

Résumé du poste

OPmobility is seeking a Master’s student in Mechanical Engineering to join the Engineering Product Validation Department for a 6-month internship starting March 2027.

You will evaluate and implement artificial intelligence methods applied to structural analysis to improve numerical product validation for tailgates and bumpers.

Qualifications

• Pursuing a Bac+5 Master’s in Mechanical Engineering or Mechanical Modelling.
• Strong knowledge of Python, CAE, and Deep Learning.
• Proficiency in Abaqus, Radioss and HyperMesh.

Responsabilités

• Define and create a database tailored to the study requirements.
• Perform static simulations using Abaqus or crash simulations using Radioss to generate training cases.
• Train 3D geodesic convolutional models based on artificial intelligence.
• Deploy these models and evaluate their performance within the end-user application.

Connaissances

Python

Deep Learning

Abaqus

Radioss

HyperMesh

CAE

Formation

Master's degree in Mechanical Eng

Outils

N/A

Description du poste

Hungry for challenges? Join a group with innovation at its heart and contribute to the automotive revolution!

OPmobility is a world-leading provider of innovative solutions for a unique, safer and more sustainable mobility experience. Innovation-driven since its creation, the Group develops and produces intelligent exterior systems, customized complex modules, lighting systems, clean energy systems and electrification solutions for all mobility companies. With a €11.4 billion economic revenue in 2023, a global network of 152 plants and 40 R&D centers, OPmobility relies on its 40,300 employees to meet the challenges of transforming mobility.

A world leader in hydrogen mobility, OPmobility H2-Power develops storage systems and solutions for all types of hydrogen mobility: cars, trucks and trains. The business expertise covers the entire value chain of fuel cell electric vehicles through high-pressure hydrogen storage solutions, fuel cell manufacturing and an integrated hydrogen system that ensures the smooth operation of on-board technologies.

Our ambition? Provide automakers with cutting-edge equipment and solutions to develop tomorrow’s clean and connected car.

Job Description

Within the Engineering Product Validation Department, you will be responsible for evaluating and implementing artificial intelligence approaches applied to structural analysis, with the aim of improving the efficiency and reliability of numerical product validation for tailgates and bumpers.

Desired start date: March 2027

Duration: 6 months

Main responsibilities

• Define and create a database tailored to the study requirements.
• Perform static simulations using Abaqus or crash simulations using Radioss to generate training cases.
• Train 3D geodesic convolutional models based on artificial intelligence.
• Deploy these models and evaluate their performance within the end-user application.

Candidate profile

• You are currently pursuing a Master's degree (Bac+5) in Mechanical Engineering or Mechanical Modelling and Applications.
• You have an advanced level of English (B2/C1).
• You have intermediate to advanced skills in mechanics. Knowledge of plastics engineering would be an advantage.
• You have in-depth knowledge of CAE and Deep Learning.
• You have a very good command of Python.
• You are proficient in using Abaqus, Radioss, and HyperMesh.
• You are proactive, demonstrate strong communication and analytical skills, and take initiative in carrying out your assignments.

Compensation will depend on your level of study.

• a transportation allowance
• employer contribution towards meals at the company restaurant
• access to a gym
• concierge services

As a responsible company, OPmobility pays particular attention to diversity and equality within its teams and the Group commits to treat all job applications equally.