Smart Cockpit Voice Assistant Product & Engineering Specialist

Chery Automobile is a leading Chinese auto company and an international brand whose business covers more than 80 countries and regions. For our Engineering Center in Raunheim, near Frankfurt, we are looking for a Smart Cockpit Voice Assistant Product & Engineering Specialist We welcome you to join a growing team of extraordinarily talented and enthusiastic people, developing tailor-made cars for the European market.

We want to work with a flexible and enthusiastic individual wo will be required to support the development of our European vehicles locally as well as globally - jointly with our teams in our headquarter in China. Position Purpose Lead the European product definition, localization and validation of automotive voice assistant systems to deliver a natural, reliable and competitive voice experience for European customers.

Connect European customer expectations, linguistic requirements and validation findings with HQ R&D, vehicle programs and voice technology suppliers. Independently identify product gaps, define improvements, assess technical solutions and drive issue resolution across development and release cycles.

Key Responsibilities

1. European Voice Assistant Product Definition Define European requirements based on customer expectations, feedback, market trends and competitor benchmarking. Develop voice use cases for navigation, media, communication, vehicle controls and AI-enabled interactions. Translate European customer needs into actionable functional, UX and performance requirements for HQ and suppliers.
2. Voice Technology & Engineering Evaluate ASR, NLU, TTS, dialogue management and LLM-based voice assistant capabilities and limitations. Understand voice system architecture, infotainment integration, vehicle-function interfaces and cloud/on-device dependencies. Investigate recognition, intent, dialogue, latency and integration failures; work with suppliers to establish root causes and corrective actions.
3. European Languages & Localization Define multilingual requirements and assess language-specific recognition, pronunciation, intent understanding and dialogue quality. Identify issues involving European accents, dialects, terminology, cultural context and natural interaction. Develop reusable linguistic evaluation criteria and localized test scenarios.
4. Validation & Quality Improvement Design structured test plans, scenarios, acceptance criteria and measurable quality indicators. Conduct lab and in-vehicle validation across realistic driving conditions, background noise, connectivity and multilingual use. Document evidence, prioritize defects, verify fixes and track issue closure with HQ and suppliers.
5. AI Voice Assistant & Future Technologies Assess conversational AI and LLM features including multi-turn dialogue, contextual understanding and personalized experiences. Evaluate reliability, safety boundaries, response quality and practical suitability for automotive use. Benchmark emerging solutions and propose relevant improvements for European programs.
6. Cross-functional Collaboration & Supplier Management Serve as the European voice assistant product and technical interface for HQ R&D, vehicle programs and suppliers. Review supplier proposals, challenge technical assumptions constructively and align implementation with European requirements. Own assigned workstreams independently and drive decisions, deliverables and validation follow-up. Key Deliverables / Expected Outcomes 1.European product requirements Clear, testable voice assistant requirements for European languages, functions and user experience. 2.Improved voice assistant product quality Evidence-based identification, prioritization and closure of key recognition, understanding and localization issues. 3.Reusable validation framework Standardized scenarios, metrics and acceptance criteria across European vehicle programs. 4.Effective EU–HQ collaboration Traceable technical feedback and faster supplier/HQ issue resolution. 5.Competitive AI voice experience Regular benchmarking and actionable recommendations for next-generation assistant features. Candidate Profile Education & Experience Degree in Computational Linguistics, Speech Technology, Artificial Intelligence or a related field. Demonstrated experience with automotive voice assistant products in development, integration, product definition or validation; production vehicle program experience strongly preferred. Hands-on familiarity with multilingual speech systems and linguistic evaluation. Experience with automotive OEMs, Tier 1 suppliers or specialist voice technology providers is an advantage. Technical & Professional Skills Solid working knowledge of ASR, NLU, TTS, dialogue management, voice UX and LLM-based conversational systems. Ability to distinguish speech recognition, language understanding, dialogue and vehicle integration problems and lead structured root-cause investigations. Ability to independently define test scenarios, evaluate system performance, communicate findings and drive corrective actions. Understanding of automotive infotainment architecture, vehicle-function integration and realistic in-car operating constraints. Strong analytical thinking, technical ownership and cross-functional supplier collaboration. Language & Communication Native-level proficiency in at least one European market language (for example German, French, Spanish, Italian or English) is strongly preferred. Professional fluency in English for international technical collaboration; additional European languages are an advantage. Ability to evaluate naturalness, linguistic quality and cultural appropriateness of spoken interactions. Clear communication of technical requirements and issues across European teams, HQ R&D and suppliers. Looking forward to joining our dynamics and international RD Team!