Senior Software Engineer

Taiwan

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Automotive, Artificial Intelligence, Software DevelopmentIndustries

Requirements

Candidates must have 3 or more years of working experience and be proficient in C++11/14 embedded development. Hands-on project experience with Linux/Android Automotive OS is required, along with an understanding of LLM, Agent, RAG, and corresponding inference frameworks/runtimes. Familiarity with Inter-Thread Communication and Inter-Process Communication is also necessary.

Responsibilities

The Software Developer will be responsible for system integration development, including interfacing with LLM teams to integrate SDKs and developing voice interaction middleware for ASR, NLU, and TTS pipelines. They will also design hybrid solutions for integrating cloud and edge LLMs, manage arbitration between them, and optimize end-to-end response latency, CPU/memory footprint, and cold-start acceleration.

Skills

C++11/14

Embedded Development

Linux

Android Automotive OS

LLM

Agent

RAG

Inference Framework

Inter-Thread Communication

Inter-Process Communication

SDK Integration

Voice Interaction Middleware

ASR

NLU

TTS

Cloud LLM Integration

Edge LLM Integration

Performance Optimization

Latency Optimization

CPU Optimization

Memory Footprint Control

Cold-start Acceleration

Cerence

AI solutions for automotive in-car experiences

About Cerence

Cerence develops AI-powered solutions specifically for the automotive industry, focusing on improving the in-car experience for drivers and passengers. Their products include voice recognition systems and AI-driven assistants that enhance entertainment, connectivity, and safety while driving. Cerence collaborates with major automotive manufacturers to integrate these technologies into vehicles, such as the Mercedes Benz User Experience. Unlike many competitors, Cerence emphasizes a comprehensive approach that includes ongoing support and upgrades, ensuring their technology adapts to trends like smart cities and electric vehicles. The company's goal is to transform transportation and shape the future of mobility through innovative and user-friendly solutions.

Burlington, MassachusettsHeadquarters

2019Year Founded

$190MTotal Funding

IPOCompany Stage

Automotive & Transportation, AI & Machine LearningIndustries

1,001-5,000Employees