AI 智能座舱语音专家/高级工程师
Core
Design and optimize the architecture for intelligent cockpit voice assistants, integrating large language models to ensure low latency, high accuracy, and stability in automotive environments.
Role type
Senior IC Machine Learning Engineer (Automotive Voice)
Builds
Production-grade voice interaction systems for smart cockpits
Domain
Automotive / Speech Processing / Large Language Models
Deliverable
production ML models
Required skills
ASR, NLU, Dialogue Management, TTS, Speaker Diarization, Noise Suppression, AEC, VAD, Transformer models, BERT, Whisper, C++, Python, Linux/QNX/Android, Deep Learning Frameworks
Preferred skills
End-side large model optimization, multi-zone interaction, emotion recognition, mass production project experience
Technologies
Transformer, BERT, Whisper, Linux, QNX, Android
Responsibilities
Design voice link architecture integrating large models; Develop rejection models and optimize semantic understanding; Implement core modules (ASR, NLU, DM, TTS) for cockpit scenarios; Collaborate on cross-system integration for mass production delivery.
Seniority
Senior, hands-on IC