
Tätigkeitsbereich:Forschung & Entwicklung incl. Design
Fachabteilung:RD China
Gesellschaft:Mercedes-Benz Group China Ltd.
Standort:Mercedes-Benz Group China Ltd., Beijing
Startdatum:01.11.2026
Veröffentlichungsdatum:15.10.2026
Stellennummer:MER00049H7
Arbeitszeit:Vollzeit
Bewerben
Aufgaben
As China is evolving into a key market for intelligent mobility, we are 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, our 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 be leading 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.
As a leader you will also be responsible for translating high-level product and AI strategy to your section members, managing the transition from supplier-dependent to in-house self-developed solutions, and taking care of task assignment and individual growth of the people.
Qualifikationen
· Bachelor's or Master's degree in computer science, artificial intelligence, or a related technical field.
· Proven track record in leading teams focused on the development of virtual assistant, conversational AI, or voice interaction systems within automotive or consumer electronics domains.
· Deep understanding of modern AI/ML technologies, including large language models (LLMs), retrieval-augmented generation (RAG), prompt engineering, and AI agent frameworks.
· Comprehensive knowledge of voice technology stack: automatic speech recognition (ASR), natural language understanding (NLU), dialogue management, text-to-speech (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 programming languages such as Python, C++, or Java, with experience in ML frameworks (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.
· Demonstrated ability to leverage data-driven approaches (telemetry, user behavior analytics, A/B testing) to drive continuous improvement in voice assistant quality and user satisfaction.
· Strong analytical and problem-solving skills with a track record of successfully delivering complex AI-powered products from concept to mass production.
· Excellent communication and collaboration skills, facilitating seamless interaction with cross-functional teams, HQ stakeholders, and external partners.
· Fluent in English, capable of articulating technical complexities concisely and effectively. Mandarin proficiency required.
· Demonstrated self-reliance, a strong team-oriented mindset, and exceptional people leadership skills, fostering a collaborative, innovative, and results-driven engineering culture.
Mitarbeiter Events
Flexible Arbeitszeit möglich
Hybrides Arbeiten möglich
Gesundheitsmaßnahmen
Mobilitätsangebote
Mitarbeiterrabatte möglich
Gute Anbindung
Barrierefreiheit
Parkplatz
Betriebsarzt
Kantine, Café
KontaktMercedes-Benz Group China Ltd.
LSH Tower C, 8 Wangjing Street100102 BeijingDetails zum Standort
Baoyi Sun E-Mail: baoyi.sun@mercedes-benz.com
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Vertreten durch den Vorstand:
Ola Källenius (Vorsitzender), Jörg Burzer, Renata Jungo Brüngger, Sabine Kohleisen, Harald Wilhelm, Markus Schäfer, Britta Seeger
Vorsitzender des Aufsichtsrats: Bernd Pischetsrieder
Handelsregister beim Amtsgericht Stuttgart, Nr. HRB 762873
Umsatzsteueridentifikationsnummer: DE321281763