Senior AI Deployment Engineer Intelligent Vehicles AIML

We develop the AI platform enabling onboard reasoning visual intelligence and agentic AI in current and next-gen BMW vehicles. Our mission is to bring state-of-the-art AI from foundation models to Edge AI into production at global scale creating AI-powered experiences for millions of customers worldwide.

What awaits you

• You own the optimization and deployment of deep learning models onto automotive Neural Processing Units (NPUs) and other embedded hardware accelerators.
• You drive the development of Edge AI toolchains and pipelines that optimize and compile state-of-the-art AI models for efficient real-time onboard inference.
• You design and implement performance-critical C/C components that bridge AI models and automotive hardware maximizing throughput while meeting strict latency memory and power constraints.
• You benchmark profile and debug model performance on target SoCs closing the gap between research prototypes and production-ready onboard AI features.
• Through AI safety governance and compliance by design you help build trustworthy automotive AI.

What should you bring along

• A Masters degree or higher in Computer Science Electrical Engineering Machine Learning or a related field.
• Proven experience in deploying and optimizing deep learning models on embedded hardware and hardware accelerators such as NPUs GPUs or DSPs.
• Strong software engineering skills in C/C with hands-on experience in hardware acceleration low-level performance tuning and embedded systems development.
• Solid understanding of deep learning model architectures (e.g. CNNs transformers) and model optimization techniques such as quantization and pruning.
• Proficiency with modern AI deployment frameworks such as ONNX TensorRT ExecuTorch or vendor-specific NPU SDKs.
• A proven track record of taking AI solutions from prototype to production in fast-paced engineering environments.

Ready to build the AI platform behind the next generation of intelligent vehicles Apply now!

Required Experience:

Manager