Embedded AI Engineer – Android Automotive (On-Device Intelligence)
Core
End-to-end lifecycle ownership of embedded ML systems for on-device intelligence on Android Automotive, ensuring predictability and safety under real-world constraints.
Role type
Senior IC embedded AI engineer (Android Automotive)
Builds
Production-grade ML inference and learning systems, multimodal LLMs, and optimized model deployments for vehicle platforms.
Domain
Automotive / Embedded Systems / Edge AI
Deliverable
production ML models
Required skills
C++, Android native integration (JNI), model optimization (quantization, pruning, compilation), LLM function calling, Android system services, edge constraints management
Preferred skills
Snapdragon Automotive, ARM Ethos, NPU pipelines, quantized LLMs (llama.cpp, TFLite transformers), functional safety (ISO 26262)
Technologies
TensorFlow Lite, ONNX Runtime, Android Automotive OS (AAOS), C++, JNI
Responsibilities
Deploy and run production-grade ML inference and learning systems on Android Automotive; Implement on-device multimodal LLMs with schema design and safe dispatch; Profile and optimize models for latency, memory, power, and thermal budgets; Instrument runtime performance across CPU, GPU, and NPU; Design safety boundaries and guardrails for model outputs; Interface directly with vehicle signals, sensors, and system services.
Seniority
Senior, hands-on IC
