Speech Architect
Tasks
- Conduct customer workshops and architecture reviews
- Define architecture for automotive speech and voice assistant solutions
- Define speech quality KPIs validation strategies and benchmarking
- Design scalable embedded cloud and hybrid speech platforms
- Develop long term product roadmaps for in vehicle assistants
- Establish integration best practices and performance optimization
- Evaluate generative AI and LLM powered voice assistant trends
- Integrate voice solutions with infotainment and vehicle functions
- Lead implementation of ASR NLU TTS wake word detection and dialogue systems
- Mentor engineering teams on speech integration and architecture best practices
- Perform root cause analysis to improve speech accuracy latency and responsiveness
- Support presales RFI RFP responses and customer proposals
Perks/Benefits
- N/A
Skills/Tech-stack
Agile | Android Automotive | Android Automotive OS | Automatic Speech Recognition | Automotive OS | C++ | CI/CD | Connected Vehicle | Conversational AI | DevOps | Dialogue Management | Digital cockpit | Embedded Systems | Generative AI | IVI | Infotainment | Java | KPI Measurement | Language Models | Language Understanding | Large Language Models | Linux | Multilingual Speech | Multilingual speech recognition | Natural Language | Natural Language Understanding | Performance Evaluation | Python | QNX | Quality optimization | Speech Performance Evaluation | Speech Processing | Speech Recognition | Telematics | Text to Speech | Voice assistant | Wake Word | Wake word detection
Education
N/A
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