Embedded AI Engineer (Android Automotive, On-Device Intelligence)

Join our team as an Embedded AI Engineer, where you will be responsible for building on-device intelligence for a next-generation Android Automotive platform. You will own the end-to-end lifecycle of embedded ML systems, ensuring they behave predictably and safely in production environments. Your work will involve deploying and running production-grade ML inference and learning systems, integrating models, optimizing performance, and designing safety boundaries. You will interface directly with vehicle signals, sensors, and system services using C++ and JNI.

• End-to-end ownership of the lifecycle of embedded ML systems, ensuring models behave predictably and safely in production environments.
• Deployment and operation of production-grade ML inference and learning systems on Android Automotive (AAOS).
• Integration of models using TensorFlow Lite, ONNX Runtime, or specialized vendor SDKs, and optimization for strict latency, memory, power, and thermal budgets.
• Deep understanding of edge constraints including real-time behavior and memory pressure
• Expertise in model optimization techniques such as quantization, pruning, and compilation
• BS, MS, or PhD in Computer Science, Electrical Engineering, or a related technical field
• Experience integrating LLM function calling or tool execution with structured outputs
• Strong proficiency in C++ and experience with native Android integration (JNI)
• Hands-on experience with Android system services or Android Automotive OS (AAOS)
• 3+ years of experience shipping ML inference on embedded, mobile, or automotive platforms
• Background in running quantized LLMs on-device using llama.cpp or TFLite transformers
• Familiarity with functional safety concepts (ISO 26262), sandboxing, or policy enforcement
• Experience with Snapdragon Automotive, ARM Ethos, or specialized NPU pipelines
• Experience bridging cloud-trained models to resource-constrained embedded runtimes
• Don’t meet every single requirement? If you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyway. You may be just the right candidate for this or other roles