Job Description
📋 Description Deploy and run production-grade ML inference and learning systems on Android Automotive (AAOS) Implement on-device multimodal LLMs with schema design and safe dispatch to vehicle APIs Integrate models using TensorFlow Lite, ONNX Runtime, or specialized vendor SDKs Profile and optimize models for latency, memory, power, and thermal budgets Instrument runtime performance across CPU, GPU, and NPU acceleration layers Design safety boundaries and guardrails for model outputs with allowlists and fallback logic 🎯 Requirements BS, MS, or PhD in Computer Science, Electrical Engineering, or a related technical field 3+ years of experience shipping ML inference on embedded, mobile, or automotive platforms Strong proficiency in C++ and experience with native Android integration (JNI) Expertise in model optimization techniques such as quantization, pruning, and compilation Experience integrating LLM function calling or tool execution with structured outputs Hands-on experience with Android system services or Android Automotive OS (AAOS) 🎁 Benefits Health, dental, vision, life and disability insurance 401(k) retirement benefits with employer match Learning and wellness stipends Paid time off Equity in stock options or RSUs
