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BMW TechWorks India

Senior AI Deployment Engineer - Intelligent Vehicles AIML

Bengaluru · Senior

Mature listing - likely many applicantsVerified listingPosted 28d ago

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64Skills
97Experience

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Skills required

11 listed
Agentic AIDeep LearningMachine LearningHardware AccelerationEmbedded SystemsArtificial Intelligence Markup Language (AIML)C (Programming Language)C++ (Programming Language)+3 more
Agentic AIDeep LearningMachine LearningHardware AccelerationEmbedded Systems

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Job description

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!

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Two ways in

Applicants who checked fit first are 3.1× more likely to hear back

Your match scoreFree · sign in
86Overall
64Skills
97Experience

Your score for this role already exists

ASAI compared this JD against 41 signals - skills, seniority, domain, stack overlap etc. Add a resume and it unlocks in about 30 seconds.

Always free · no credit card · 1 tap with Google

Free · no signup

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Why people use ASAI

Someone shared one job with you. ASAI keeps finding the rest.

  • Scored, not searched. Every role ranked against your actual profile.

  • Alerts as often as hourly. Reach new roles while the pile is still small.

  • Skill gaps, spelled out. See exactly which requirements you don't meet yet.

  • Verified jobs, only. Say no to ghost jobs. Your time deserves respect.

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