Embedded AI Developer

challenges are emerging in the automotive industry. </p> <p> Aufgaben </p> <ul> <li> 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. </li> <li> 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. </li> <li> 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. </li> <li> 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. </li> <li> You stay abreast of cutting-edge machine learning research and selectively

translate promising developments into robust, scalable industrial applications on advanced automotive hardware. </li> <li> You design and operate scalable, MLOps-driven optimisation pipelines, enabling training, deployment, and inference across diverse embedded targets and accelerator architectures. </li> </ul> <p>Profil </p> <ul> <li> University degree in electrical engineering, computer science, data science, artificial intelligence, mathematics, physics, or a comparable qualification. </li> <li> Extensive professional experience in the development, implementation, and operation of AI/ML models in an industrial or commercial environment. </li> <li> 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. </li> <li> 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. </li> <li> Proven success in transferring ML models from research or prototype phases into productive, value-creating applications on embedded targets. </li> <li> 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. </li> <li> Very good English skills, both written and spoken, for working in an international environment; German skills are desirable and an advantage. </li> </ul> <p>Wir bieten </p> <ul> <li> Challenging projects with which we are shaping the mobility of tomorrow together. </li> <li> Wide range of personal and professional development opportunities. </li> <li> Attractive, fair and performance-related remuneration. </li> <li> High level of job security. </li> <li> Annual special payments such as vacation pay, Christmas bonus, and profit

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 opinion is valued. It is only when expertise, highly professional processes and enjoyment of work unite that we can shape the future together.

We are shaping AI transformation at the BMW Group and delivering highly advanced applications that enable outstanding customer experience in automated driving and intelligent vehicles. To achieve cost- and energy-efficient solutions, we combine deep expertise in AI and chip design, developing tailor-made AI models for connected vehicles worldwide - delivering maximum performance while making optimal use of available hardware. At the intersection of semiconductors and AI, new