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Senior AI Deployment Engineer - Intelligent Vehicles AIML

BMW TechWorks India · Bangalore

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Collected role description

Role overview

Senior AI Deployment Engineer - Intelligent Vehicles AIML at BMW TechWorks India

Employment details

  • Location: Bengaluru [Karnataka] [India]

Application details

  • Apply now!

Additional role details

  • 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 Master's 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?

Collected experience requirement

8-10 years