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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Embedded AI Developer - **Company:** BMW AG - **Location:** München, Germany - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Artificial Neural Networks, Machine Learning, Deep Learning, Information Technology, Machine Learning Operations, Multiaccess Edge Computing - **Published:** June 2, 2026 - **Apply:** https://www.jobfinder.de/job/senior-embedded-ai-developer-f-m-x/ ## About the Role translate promising developments into robust, scalable industrial applications on advanced automotive hardware. - You design and operate scalable, MLOps-driven optimisation pipelines, enabling training, deployment, and inference across diverse embedded targets and accelerator architectures. **Profil** - University degree in electrical engineering, computer science, data science, artificial intelligence, mathematics, physics, or a comparable qualification. - Extensive professional experience in the development, implementation, and operation of AI/ML models in an industrial or commercial environment. - Strong expertise in embedded AI, particularly in neural network architectures, quantisation, hardware- and quantisation-aware training, as well as deployment formats and cross-platform portability. - In-depth expert knowledge of hardware/software co-design for ML systems, including cross-layer optimisation, architecture search, benchmarking, and the design of neural accelerators. - Proven success in transferring ML models from research or prototype phases into productive, value-creating applications on embedded targets. - Comprehensive expertise in modern machinelearning methods, including deep learning, multimodal models, end-to-end learning and transformer architectures, combined with a realistic understanding of their practical limitations. - Very good English skills, both written and spoken, for working in an international environment; German skills are desirable and an advantage. **Wir bieten** - Challenging projects with which we are shaping 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 ## Description challenges are emerging in the automotive industry. **Aufgaben** - You own the full lifecycle of machine learning models - from initial concept and experimentation through training and validation to reliable deployment on production-grade automotive systems. - Furthermore, you optimise AI models for embedded platforms, driving performance analysis and benchmarking, as well as runtime, compute, and memory efficiency on next-generation edge hardware. - You apply state-of-the-art compression techniques (quantisation, pruning, distillation, sparsity) to enable high-performance AI under strict real-time, energy, and hardware constraints. - Additionally, you collaborate closely with software, machine learning, and semiconductor specialists to advance hardware/software co-design, ensuring functional correctness, safety, and deterministic real-time behaviour. - You stay abreast of cutting-edge machine learning research and selectively ## Related Videos - [Getting Started with Machine Learning](https://www.wearedevelopers.com/videos/260-getting-started-with-machine-learning) - [Introduction to Azure Machine Learning](https://www.wearedevelopers.com/videos/368-introduction-to-azure-machine-learning) - [Enabling intelligent logistics automation: home-grown Industrial IoT platform at Austrian Post](https://www.wearedevelopers.com/videos/2018-enabling-intelligent-logistics-automation-home-grown-industrial-iot-platform-at-austrian-post) - [Developing an AI.SDK](https://www.wearedevelopers.com/videos/198-developing-an-ai-sdk) - [How Machine Learning is turning the Automotive Industry upside down](https://www.wearedevelopers.com/videos/61-how-machine-learning-is-turning-the-automotive-industry-upside-down) - [What non-automotive Machine Learning projects can learn from automotive Machine Learning projects](https://www.wearedevelopers.com/videos/397-what-non-automotive-machine-learning-projects-can-learn-from-automotive-machine-learning-projects) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [The Most Popular IT Jobs on the Market](https://www.wearedevelopers.com/magazine/376-the-most-popular-it-jobs-on-the-market) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [The Biggest German Tech Companies](https://www.wearedevelopers.com/magazine/424-the-biggest-german-tech-companies) - [How to Find Tech Jobs in Berlin](https://www.wearedevelopers.com/magazine/291-how-to-find-tech-jobs-in-berlin) - [How software is steering vehicle technology](https://www.wearedevelopers.com/magazine/515-how-software-is-steering-vehicle-technology)