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NP System RD Intern

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Onsite

NP System RD Intern

Momenta Europe GmbH

NP System RD Intern

Skills

DockerData MiningPythonAI

1 month ago

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Important information


Contract type:

Permanent

Location:

71 Böblingen, Germany

Work mode:

Onsite

Published on:

11 September 2026

What they need


In this role, you will:

  • Participate in NP product delivery to multiple OEM mass production to free run across multi-nations in EU.
  • Be responsible for the specific functional implementation and performance of autonomous driving systems in certain urban and highway scenarios, especially EU-unique scenarios.
  • Responsible for data mining and manangement of the training and testing data
  • Responsible for ADAS and autonomous driving function developing and issue analyzing
  • Assist in adapting the development tools.

We would like you to have:

  • Enrolled in a Bachelor or Master in computer science, engineering degree with AI and programming classes.
  • Familiar with software development related tools like Git, Docker or similar.
  • Experience with programming languages C++ and Python.
  • Strong coordination ability, sense of responsibility, clear logic.
  • Experience in ADAS or autonomous driving field and experience in ADAS or autonomous driving project development is preferred.
  • Proficient in reading and writing in English and Chinese.
  • Experience in high efficient working with AI agent.
  • Passion for autonomous driving industry.

Why Momenta:

  • High growth stage company
  • Partnerships with Daimler, Bosch, GM, Toyota, SAIC
  • Competitive package depending on experience

About us

We are committed to developing breakthrough AI solutions to push beyond the frontier of possibilities today and significantly improve people's quality of life.
We leverage our AI capabilities to develop autonomous driving solutions to enhance driving safety, convenience, and efficiency.
Through our autonomous driving technology and solutions, we aspire, in the next ten years, to save one million lives, save 100% driving time, and double the logistics and mobility efficiency.

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