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BMW TechWorks

Senior AI Deployment Engineer - Intelligent Vehicles AIML

Bangalore, Karnataka, India

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hirly's read of this role

Seniority
Senior
Country
IN
Work mode
On-site / unstated
First seen by hirly
23 Sept 2026

Derived automatically from the posting. Sign up to see how the role scores against your own resume.

the posting

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? Apply now!

Original posting on BMW TechWorks's site ↗

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