Section Lead, Virtual Assistant Development

Mercedes-Benz Group China Ltd.

Mercedes-Benz Group China Ltd., Beijing (Hybrid)

Job Type Full-time

Experience Senior

Posted 2 weeks 3 days ago

Hybrid Senior Level

Tasks

As China is evolving into a key market for intelligent mobility, Mercedes-Benz Group China Ltd. is looking for an experienced section leader who shares the passion for building next-generation AI-powered virtual assistant experiences in Mercedes-Benz vehicles.

Located in Beijing, the Virtual Assistant team drives the design, development, and integration of in-car voice interaction and conversational AI capabilities for both China-specific and global Mercedes-Benz products.

As Section Lead of Virtual Assistant Development, you will lead a section that is end-to-end responsible for developing the intelligent voice assistant system, including large language model (LLM) integration, natural language understanding (NLU), dialogue management, speech recognition (ASR), text-to-speech (TTS), wake word detection, and cloud-edge orchestration.

You will also be responsible for translating high-level product and AI strategy to section members, managing the transition from supplier-dependent to in-house self-developed solutions, and taking care of task assignment and individual growth.

Qualifications

Bachelor's or Master's degree in computer science, artificial intelligence, or a related technical field.
Proven track record leading teams focused on virtual assistant, conversational AI, or voice interaction systems in automotive or consumer electronics.
Deep understanding of modern AI/ML technologies, including LLMs, retrieval-augmented generation (RAG), prompt engineering, and AI agent frameworks.
Comprehensive knowledge of ASR, NLU, dialogue management, TTS, wake word detection, and acoustic front-end processing.
Hands-on experience with cloud-edge hybrid architectures for real-time voice processing and AI inference in resource-constrained automotive environments.
Proficiency in Python, C++, or Java, with experience in PyTorch, TensorFlow, and LLM deployment pipelines.
Strong understanding of software development methodologies, CI/CD practices, and ASPICE-compliant development processes.
Experience managing supplier relationships and driving make-or-buy decisions for AI technology components.
Ability to use telemetry, user behavior analytics, and A/B testing to improve voice assistant quality and user satisfaction.
Strong analytical and problem-solving skills with experience delivering complex AI-powered products from concept to mass production.
Excellent communication and collaboration skills with cross-functional teams, headquarters stakeholders, and external partners.
Fluent English and Mandarin proficiency required.
Self-reliance, a team-oriented mindset, and exceptional people leadership skills.