Nissan Motor Co., Ltd.

Vehicle Noise Testing & Machine Learning Engineer, Trainee

Nissan Motor Co., Ltd.
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2 days ago
Barcelona, SpainIntern

Responsibilities

  • Analyze and process vehicle test data.
  • Develop predictive machine-learning models to estimate tyre noise behavior.
  • Investigate how tyre and vehicle parameters affect exterior noise performance.
  • Add technical parameters based on historical vehicle-development data to the internal RAG application.
  • Build an interface for simulating tyre noise under different tyre specifications and operating conditions.
  • Contribute to the digitalization and optimization of NVH engineering processes.

Requirements

  • Strong knowledge of machine-learning and AI concepts and tools.
  • Programming skills in Python or similar languages.
  • Solid understanding of mathematical modeling and data-analysis methods.
  • Interest in applying technology to real engineering challenges.
  • Fluency in spoken and written English.
  • Currently enrolled in a Bachelor’s or Master’s degree and able to establish a university internship agreement.

Benefits

  • Hands-on internship experience with automotive technologies.
  • Opportunity to work on a real project with direct impact on vehicle development.
  • Multicultural and inclusive work environment.
  • Hybrid working combining remote work with collaboration at Nissan Technical Centre Europe facilities in Barcelona.
  • Financial compensation during the internship period.
  • Opportunity to complete a Bachelor’s final project or Master’s thesis.

Tech Stack

Categories

Nissan Motor Co., Ltd.

About Nissan Motor Co., Ltd.

10,000+ employees

Nissan Motor Co., Ltd. designs, manufactures, and sells passenger cars, SUVs, light commercial vehicles, and EVs under the Nissan and INFINITI brands, plus captive financing and after-sales services. Founded in 1933 and headquartered in Yokohama, Japan, it operates globally and is publicly listed on the Tokyo Stock Exchange. Nissan is a core member of the Renault–Nissan–Mitsubishi Alliance, collaborating on platforms and electrification.

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