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Mitwirkung bei Forschungsvorhaben des Lehrgebiets Mitwirkung bei der Erstellung und Überarbeitung von Fernstudienmaterial und Einsendeaufgaben Beteiligung bei der Durchführung von Fernstudienkursen und Präsenzveranstaltungen (Seminare/Praktika) Unterstützende Betreuung von Seminar- und...

You build and maintain end-to-end ML pipelines using workflow orchestration tools: from data ingestion to distributed training, evaluation, model compilation, and deployment-ready artefacts....

You design and build high-performance search and query pipelines over PB-scale MDF4 and MCAP data lakes, enabling ML engineers to find relevant driving scenarios, sensor conditions, and edge cases across billions of records in seconds....

• You develop and industrialise end-to-end machine learning algorithms for ADAS functions.
• Furthermore, you design and improve human-like driving behaviour using behaviour models, reinforcement learning, and hybrid data- and model-driven approaches.

You will design and deliver end-to-end ADAS AI models such as object detection, behavior prediction, and trajectory planning - from data analysis and model design to SOP-ready release....

You define the AI system strategy for ADAS: model architectures, data flows, integration concepts: Grounded in methodological expertise and validated through technical feasibility assessments....

NEW SOLUTIONS EMERGE WHEN THINKING ISN'T HARD-WIRED. More than 90% of automotive innovations are based on electronics and software. That's why creative freedom and lateral thinking are so important in the pursuit of truly new solutions. Naturally, this includes flexible working models, so that our...

Design, development, training, validation, and continuous optimisation of ML models for production-grade automotive use cases, covering the full lifecycle from initial prototype to long-term operation....

INNOVATION IS IMAGINING WHAT NO ONE ELSE CAN. At the BMW Group, everything starts with passion. It turns a profession into a vocation. It drives us to keep reinventing mobility and bring innovative ideas onto the roads. Enthusiasm for joint projects turns a team into a strong unit where every...

INNOVATION IS IMAGINING WHAT NO ONE ELSE CAN. Artificial Intelligence and machine learning are at the cutting edge when it comes to shaping next-gen mobility in areas like automated driving. But it takes real intellectual leadership and expertise to identify and then harness the AI trends and...

• 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.

ARE YOU PREPARED FOR THE FUTURE? AI, AI SIR! Artificial Intelligence and machine learning are at the cutting edge when it comes to shaping next-gen mobility in areas like automated driving. But it takes real intellectual leadership and expertise to identify and then harness the AI trends and...

As a research engineer, you will be at the forefront of pioneering system design, with the responsibility to architect, develop, and deploy sophisticated AI systems that seamlessly integrate reinforcement learning with agentic AI systems and multi-modal foundation models....

• Design, develop, and maintain applications based on the Angular framework
• Define and implement frontend solution strategies across multiple applications and user groups
• Collaborate with UX designers to plan UI designs, develop interaction concepts, and ensure usability and performance

Use your familiarity with the Kubernetes controller runtime framework and/or modern front-end frameworks such as Vue.js to design, develop, test, and deploy new features for the Gardener Dashboard and gardenctl, the UI and CLI that power our platform....

• Develop and maintain the CI/CD infrastructure for the Gardener project.
• Collaborate with the development team to understand their needs and ensure the CI/CD pipelines meet these needs.
• Troubleshoot and resolve any issues with the CI/CD pipelines.

• Performance analysis of user codes and guidelines for optimization
• Benchmarking time-to-solution and energy-to-solution
• Optimizing HPC operational parameter towards energy efficiency
• Assessment of performance portability
• Guiding scientists through the optimization process