Über uns.

Mit unseren Marken BMW, MINI, Rolls-Royce und BMW Motorrad sind wir einer der weltweit führenden Premium-Hersteller von Automobilen sowie Motorrädern und darüber hinaus Anbieter von Premium-Finanz- und Mobilitätsdienstleistungen.

Für den Unternehmensbereich Gastronomy am Standort München suchen wir Sie als

Junior CAE & AI Engineer (f/m/x)

Beschreibung

IT CAN BE COMPLICATED:

TEAMWORK SHOULDN'T BE.

Success is a team sport. That's why BMW doesn't simply employ specialists with proven expertise, but real people who understand one other. And we support them with cutting-edge technology and sophisticated processes that leave enough space for unconventional thinking.

We are shaping the future of virtual vehicle development by combining classical simulation methods with cutting-edge AI and driving data-driven innovation for product development.

What awaits you?

• You build, validate, and analyze finite element models (FEA/FEM) for structural, crash, noise, vibration, harshness, and aerodynamic simulations.
• In addition, you apply AI methods such as Physics-Informed Neural Networks, MeshGraphNets, and multimodal approaches to accelerate physics-based simulations and improve CAE workflows.
• You develop hybrid modeling approaches that combine classical simulation with data-driven methods.
• Furthermore, you automate simulation processes and data analyses and integrate them into cloud or HPC environments.
• Not least, you closely collaborate with interdisciplinary teams to integrate AI-based simulation technologies into the development of vehicle structure, acoustics, and aerodynamics.

Qualifikationen

What should you bring along?

• University degree (master's degree or PhD) in mechanical engineering, computational engineering, computer science, or related disciplines.
• Initial practical experience in CAE simulation and virtual validation.
• Profound knowledge of FEA methods and experience with explicit or implicit solvers such as LS-DYNA or Abaqus.
• Excellent programming skills in Python and MATLAB as well as experience with simulation automation and data analysis.
• Enthusiasm for combining physical simulation, aerodynamics, and artificial intelligence.
• Experience with HPC and cloud simulation platforms.
• Knowledge in fluid mechanics, battery systems, lightweight construction, or vehicle safety.
• Practice in AI-based simulation methods and foundation models.

Are you ready to help shape the future of virtual vehicle development? Apply now!

Find out more about Artificial Intelligence at the BMW Group here.

Note: Please apply exclusively online via our career portal. Applications through other channels (especially email) cannot be considered.

Was wir bieten

What do we offer?

• Challenging projects with which we shape the mobility of tomorrow together.
• Wide range of personal and professional development opportunities.
• Attractive, fair and performance-related remuneration.
• High level of job security.
• Annual special payments such as vacation pay, Christmas bonus, and profit sharing.
• Flexible working hours including six weeks annual leave and overtime compensation.
• Discounted BMW & MINI conditions.
• Many other benefits at bmw.jobs/benefits

Earliest starting date: from now on

Type of employment: unlimited

Working hours: full-time

If you apply, the next stages of the recruiting process include online testing and then interviews with the hiring manager (either virtual or in person).

Stellenreferenz: 173803

Kontakt

Auf der Suche nach einer spannenden Herausforderung?

Hier gibt es viele weitere Informationen über uns als Arbeitgeber: https://www.bmwgroup.jobs/de/de/ueber-uns.html

Bewerbungstipps und Einblicke hinter die Kulissen gibt es auch auf facebook.com/bmwgroupcareers

und instagram.com/bmwgroupcareers.

Stellenreferenz: 173803

Do you have any questions? Then simply send your enquiry using our contact form. Your enquiry will be answered by telephone or e-mail.

At the BMW Group, we place great importance on equal treatment and equal opportunities. Our recruiting decisions are based on the personality, experience, and skills of the applicants. Learn more here.