On-Device AI Engineer for Android Automotive
Applied Intuition Inc.
Applied Intuition is seeking an embedded ML engineer to own the end-to-end lifecycle of on-device ML systems for Android Automotive. You will deploy production ML inference, optimize for tight latency and memory budgets, and integrate models using TensorFlow Lite/ONNX Runtime while interfacing with vehicle signals via C++. The role requires strong C++, JNI, and experience with edge constraints, aiming to ensure safe and predictable model behavior in production vehicles. #J-18808-Ljbffr Applied Intuition Inc.
Vacancy posted 1 day ago
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