Stellenreferenz: 173804


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.


We are building domain specific foundation models for the automotive value chain at BMW Group, designed to be reused across different disciplines, particular design, simulation, production, sales and production. By training and deploying models at industrial scale, we reduce time to insight, improve engineering quality, and enable consistent AI capabilities across programs.

What awaits you?

- Join a multidisciplinary team working on the forefront of generative AI applied to the engineering domain.
- Furthermore, you will develop a deep understanding of machine learning models applied to 3D geometries such as CAD files and simulations.
- In addition, you will benchmark machine learning methods with regard to their ability to understand relationships between geometries, textual descriptions, and other modalities, including physical properties.
- Building on this, you will apply these methods within industrial workflows supporting product development and evaluate them together with domain experts.
- At the same time, you will support the strategy and implementation of an AI-first data infrastructure for training the next generation of industrial foundation models.
- Finally, you will collaborate with external partners ranging from startups to hyperscalers and leading AI labs.


What should you bring along?

- PhD or master’s degree in the field of Engineering, Computer Science, Math or related area
- Several years of industrial experience with CAD or geometry processing systems, including 3D kernels and strong knowledge of geometry representations (for example B Rep, point clouds, signed distance functions, implicit representations).
- Profound knowledge of applying machine learning to 3D geometry, including geometry encoding for large scale models and familiarity with geometric deep learning architectures (for example GNNs, diffusion models, PointNet++, or similar).
- A technical understanding of engineering processes including design (e.g. parametric CAD modelling, CAE simulations, manufacturing) is beneficial
- Strong communication skills in English; German is a plus.


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

Find out more about Artificial Intelligence at the BMW Group

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

Find out more about Artificial Intelligence at the BMW Grouphere .

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


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 atbmw.jobs/benefits


Earliest starting date: from now on
Working hours: full-time

If you apply, the next steps in the selection process include an online test and subsequent interviews with the hiring manager (either virtually or in person).


You can find helpful tips on your application and the application process here .

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 morehere .