[ engineering ]
Embedded Ai Engineer – Android Automotive (on-device Intelligence)
Applied Intuition- Location
- Not specified
- Work mode
- On-site
- Type
- full time
- Listed
Applications go directly to Applied Intuition. Ramai takes no fee for placement and no money for ranking.
[ About this role ]
This role is for an Embedded AI Engineer focused on Android Automotive. The engineer will own the end-to-end lifecycle of embedded ML systems, deploying and optimizing on-device multimodal LLMs for production environments under real-world constraints.
Skills and focus areas
- embedded systems
- machine learning
- android automotive
- on-device intelligence
- multimodal llms
- tensorflow lite
- onnx runtime
- model optimization
- latency optimization
- memory optimization
- power optimization
- thermal management
Summary written by Ramai from the original posting. Full details and requirements are on Applied Intuition’s careers page.
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