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:
Preferred Qualifications:
Cerence Inc. (Nasdaq: CRNC and www.cerence.com) is the global industry leader in creating unique, moving experiences for the automotive world. Spun out from Nuance in October 2019, Cerence is a new, independent company that has quickly gained traction as a leader in the automotive voice assistant space, working with all of the world’s leading automakers – from Ford and Fiat Chrysler to Daimler, Audi and BMW to Geely and SAIC – to transform how a car feels, responds and learns. Its track record is built on more than 20 years of industry experience and leadership and more than 500 million cars on the road today across more than 70 languages.
As Cerence looks to the future and continues an ambitious growth agenda, we need someone to join the team and help build the future of voice and AI in cars. This is an exciting opportunity to join Cerence’s passionate, dedicated, global team and be a part of meaningful innovation in a rapidly growing industry.
EQUAL OPPORTUNITY EMPLOYER
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