Agentic AI For Automotive SDLC: Code To Testing

What awaits you!

• Join our team to industrialize sophisticated cutting-edge algorithms for our next generation of BMW Cars.
• The role involves designing, developing, and refining Agentic AI based workflows that will form the core of our innovative AI-driven products and services.

• The ideal candidate will possess deep expertise in generative AI practices, with the ability to implement Agentic AI frameworks for faster turnaround times for automotive V-model software development lifecycle from coding to testing phases (validation part of the V-model).

• Embed AI agents into automotive software pipelines to enable adaptive behaviors, such as real-time anomaly detection during unit testing or automated regression analysis in system validation.

• Develop and maintain AI-based tools for model-based development, system diagnostics, code generation, and continuous integration.

• Stay abreast of emerging agentic AI trends and propose integrations that advance our automotive software capabilities.

• In your daily work, you will find yourself in an international and interdisciplinary environment with an agile mindset.
• Our campus offers the cloud infrastructure you need to work productively with large amounts of data and focus on the software for the automobile of the future.

What should you bring along!

• 10+ years of experience in Hands-on Software Development

• 5+ years of experience in AI/ML research and development

  Experience and deep knowledge about Generative AI

• Proven experience with generative model architectures and techniques as well as fine-tuning methods to improve model performance.

  • Knowledge of software development lifecycle (V-model) in the automotive domain

• Familiar with implementing RAG (Retrieval-Augmented Generation) architecture for sophisticated AI applications

• Extensive knowledge of Agentic AI frameworks and their industrial implementation

• Experience in CI/CD tools (Jenkins, GitLab CI, or similar) and automotive-grade testing frameworks.

• Knowledge of MLOps practices to ensure the robustness and reliability of AI systems

• Expertise in designing and implementing scalable and efficient AI systems

• Strong Python programming skills and experience with modern AI frameworks (PyTorch, TensorFlow)

• Familiarity with cloud computing platforms and services for AI/ML (AWS)

  Excellent communication and collaboration skills, with the ability to lead and mentor junior team members

• Business fluent knowledge of English (written and spoken)