A Moving Experience.

Core Objective: Seamlessly integrate large language model capabilities into existing automotive systems to deliver intelligent voice interaction experiences

Key Responsibilities:

• System Integration Development
• Interface with LLM development teams to integrate SDKs into in-vehicle systems
• Develop voice interaction middleware for coordinating ASR (Automatic Speech Recognition), NLU (Natural Language Understanding), and TTS (Text-to-Speech) pipelines
• Design hybrid solution to integrate cloud LLM and edge LLM, take care of the arbitration between cloud and edge
• Performance Optimization
• Optimize end-to-end response latency
• CPU and memory footprint control and cold-start acceleration

Mandatory Requirements:

• Proficient in C++11/14 embedded development
• Hands-on project experience with Linux/Android Automotive OS
• Understanding of LLM, Agent, RAG and corresponding inference framework/runtime
• Familiar with Inter-Thread Communication and Inter-Process Communication

Preferred Qualifications:

• Development experience with voice assistant
• Development experience with AI accelerators in automotive systems
• Knowledge of multimodal