Embedded AI Engineer – Android Automotive (On-Device Intelligence)
Sunnyvale, California, United States
USD 150K-250K Mid-level Full Time
Tasks
- Deploy production ML inference and learning systems
- Design safety boundaries and output guardrails
- Implement on device multimodal LLMs
- Instrument runtime performance across CPU GPU and NPU
- Integrate models using TensorFlow Lite or ONNX Runtime
- Interface with vehicle signals sensors and system services using C plus plus and JNI
- Profile and optimize model latency memory power and thermal usage
Perks/Benefits
- N/A
Skills/Tech-stack
Android | Android Automotive | Android Automotive OS | Automotive OS | C++ | CPU | Compilation | Function Calling | GPU | ISO 26262 | JNI | Language Models | Large Language Models | Model Pruning | Model Quantization | Multimodal | NPU | ONNX Runtime | Profiling | Sandboxing | Structured outputs | TensorFlow Lite
Education
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Countries
States
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