DE EN HU Anbieter/Datenschutz
UnternehmenTechnologieNachhaltigkeitKarriereInvestorenPresse Produkte
KarriereJobsuche
MVA Multi-Modality Interaction Developer
Aufgaben
Key Responsibilities
  • Develop based on the current mainstream speech systems, including SSPE, wakeup, vad, asr, nlu, dm, tts, LLM, and etc.
  • Design and implement multimodal fusion combining speech, DMS camera, OMS camera, Dash camera, microphone, sensors, audio system state, voice print, and vehicle state data.
  • Normalize and structure multimodal inputs into system context representations suitable for LLM reasoning to support future LLM-based assistant use cases, such as; context-aware dialogue, assistant memory collection and apply, and etc.
  • Design and maintain consistent multimodal data pipelines, handling time alignment, normalization, and state coherence as data flows from vehicle systems into LLM-ready context representations.
  • Consume vehicle system capabilities through service-oriented APIs, enabling intent-driven control of vehicle functions.
  • Integrate and abstract data from multiple vehicle ECUs (audio, cameras, sensors, body, ADAS, etc.), with the ability to independently explore and onboard new data sources.
  • Collaborate closely with EE, platform, AI, and UX teams, acting as a cross-team technical bridge.
Qualifikationen

Required Qualifications

  • Experience developing speech or voice assistant systems, including wake word, VAD, ASR, NLU, dialogue management, TTS, and LLM integration.
  • Hands-on experience with multimodal data integration and fusion, combining audio, camera, sensor, and vehicle state information.
  • Strong understanding of multimodal data pipelines, including normalization, temporal alignment, and state consistency for LLM-ready context.
  • Practical experience using LLMs as a reasoning layer, including context preparation and safe application of outputs.
  • Ability to consume service-oriented vehicle APIs for intent-driven control of vehicle capabilities.
  • Experience integrating with embedded or automotive systems, working across multiple ECUs (audio, camera, sensor, body, ADAS).
  • Solid understanding of Android system architecture, preferably Android Automotive OS.
  • Strong cross-team technical communication and independent problem-solving skills.
Benefits
Mit­arbeiter Events
Flexible Arbeits­zeit möglich
Hybrides Arbeiten möglich
Gesund­heits­maß­nahmen
Mobilitäts­angebote
Mit­arbeiter­rabatte möglich
Gute An­bindung
Barriere­frei­heit
Park­platz
Betriebs­arzt
Kantine, Café
KontaktMercedes-Benz Group China Ltd. LogoMercedes-Benz Group China Ltd.
LSH Tower C, 8 Wangjing Street100102 BeijingDetails zum Standort
Bewerben