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4 дня назад

(Senior) Data Science Specialist for Virtual Sensors (Automotive)

65 000 - 75 000€
Формат работы
onsite
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
Germany
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR
(Senior) Data Science Specialist for Virtual Sensors (Automotive): Developing and deploying physics-informed virtual sensors for automotive applications such as tire pressure and tire wear, with an accent on model robustness, accuracy, and production validation. Focus on combining physical understanding with data-driven methods, processing time-series signals in time and frequency domains, and bringing research models into series vehicles.

Location: Darmstadt, Germany

Salary: €65,000–€75,000 per year

Company

Develops software-based virtual sensor technology powered by AI to replace vehicle hardware and enable new features and services across automotive, manufacturing, defense, and robotics.

What you will do

  • Develop and improve virtual sensors with a focus on robustness and accuracy.
  • Combine physical understanding with data-driven methods for automotive use cases including tire pressure and tire wear.
  • Deploy virtual sensor solutions for series production vehicles.
  • Plan and execute testing and validation to verify requirements for series applications.
  • Translate research and development results into reliable production software.

Requirements

  • Degree in mechatronics, mechanical engineering, or a related field.
  • 3–5+ years of experience in model development.
  • Experience with time-series signal processing in the time and frequency domains.
  • Experience with modeling and system-based approaches.
  • Experience with Matlab and Simulink.
  • Solid knowledge of vehicle technology.

Nice to have

  • Knowledge of machine learning concepts.
  • Knowledge of durability engineering.

Culture & Benefits

  • Permanent, full-time employment.
  • Work focused on deploying physics-informed software into production vehicles.
  • Exposure to automotive applications as well as manufacturing, defense, and robotics.

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