Da Vinci Engineering GmbH

Speech Recognition Engineer (m/f/d) (ID: 21750)

Stellenbeschreibung:

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Overview

Position description: design, develop, and optimize the speech recognition system for in-vehicle applications for the European market, working closely with headquarters.

Responsibilities

  • Work closely with headquarters to design, develop, and optimize the speech recognition system for in-vehicle applications for the European market
  • Conduct thorough analysis and evaluation of speech recognition systems and their implementation in infotainment platforms on test benches and in vehicles, including defect analysis, reporting, tracking, and resolution confirmation in coordination with the software release plan
  • Propose innovative solutions to improve accuracy, robustness, and performance
  • Drive research initiatives to explore emerging trends and advancements in speech processing, natural language understanding, and machine learning to enhance automotive speech recognition capabilities
  • Collaborate with external partners, suppliers, and academic institutions to leverage industry best practices and stay at the forefront of speech recognition technology

Your profile / Qualifications

  • Bachelor's or Master’s degree in Electrical Engineering, Computer Science, Phonetics or related field
  • 3+ years of experience in the automotive industry in voice recognition or infotainment
  • Excellent problem-solving skills, ability to work independently, and a strong sense of ownership and accountability
  • Fluent in English; other European languages or Chinese are a plus

What you can expect

  • Experience in exciting and international projects
  • Continuous salary development
  • On-the-job training and language courses
  • Appreciation, motivation and commitment

Job details

  • Seniority level: Mid-Senior level
  • Employment type: Full-time
  • Industry: Motor Vehicle Manufacturing

Da Vinci Engineering is committed to ensuring the success of its employees. Become a part of us!

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Stelleninformationen

  • Typ:

    Vollzeit
  • Arbeitsmodell:

    Vor Ort
  • Kategorie:

  • Erfahrung:

    2+ years
  • Arbeitsverhältnis:

    Angestellt
  • Veröffentlichungsdatum:

    04 Nov 2025
  • Standort:

    Raunheim

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