Intern - Intelligent Vehicle Dynamics Controls

Huawei

München

Vor Ort

EUR 30.000 - 40.000

Vollzeit

14 Tage+

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Benefits dieser Stelle

Healthy meals in the company canteen
Training opportunities including language courses
Diverse work environment with international teams

Zusammenfassung

Huawei in Munich seeks an Intern in Intelligent Vehicle Dynamics Controls. This role integrates AI with vehicle dynamics for enhancing stability and performance in autonomous driving solutions.

You will develop AI-based estimators and controllers, working with diverse teams from concept to production. Candidates should be pursuing a Master's in a related field, be proficient in Python, C/C++, and have experience with AI and control systems.

The company offers supportive culture, various training opportunities, and a global work environment.

Qualifikationen

  • Strong focus on AI, vehicle dynamics, or robotics.
  • Experience in deploying AI-based decision-making and control systems for vehicles or robotics.
  • Fluent in English.

Aufgaben

  • Combine AI and ML techniques with control strategies.
  • Implement and tune advanced control methods.
  • Work with cross-functional teams to ensure integration from concept to production.

Kenntnisse

Artificial Intelligence
Machine Learning
Control Systems
Python
C/C++
MATLAB
Simulink

Ausbildung

Master’s degree or higher in Artificial Intelligence, Automotive Engineering, or related field

Jobbeschreibung

Huawei Heisenberg Research Center (Munich) is responsible for advanced technology research, architectural development, design and strategic engineering of our products.

Automotive Engineering Lab (AEL) teams are rapidly growing and focused on advanced automotive technologies in multiple domains.

Join us as an Intern - Intelligent Vehicle Dynamics Controls (m/f/d)

We are seeking a skilled candidate in Intelligent Vehicle Dynamics for vehicle stability, handling, and performance for human and Autonomous Driving Solution (ADS) features.

In this role, you will be at the forefront of integrating advanced artificial intelligence with classical vehicle dynamics. You will join together for designing, simulating, and deploying cutting‑edge control and estimation solutions for next‑generation vehicles.

Your mission
  • Combine Artificial Intelligence and Machine Learning techniques to enhance traditional control strategies. This includes developing AI‑based state estimators and supervised learning/reinforcement learning‑based controllers
  • Implement and tune advanced control strategies such as advanced/adaptive/robust control methods, complementing them with AI‑driven insights
  • Work closely with cross‑functional teams, including mechanical, electrical, and software engineers, as well as suppliers and external partners, to ensure seamless integration from concept to production
Your areas of expertise
  • Currently pursuing a Master’s degree or higher in Artificial Intelligence, Automotive Engineering, Control Systems, or a related field, with a strong focus on AI, vehicle dynamics, or robotics
  • Experience in developing and deploying AI‑based (supervised learning / reinforcement learning) decision‑making and control systems for vehicles or robotics
  • Proficiency in Python/ C/C++/MATLAB/Simulink or related tools for modeling and simulation
  • Enthusiastic to work as part of our international team
  • Fluent communication skills in English
Your rewards of working here
  • Our culture is characterized by innovative power and team spirit as well as the intensive exchange of knowledge and experience within our global network.
  • We offer healthy meals ranging from traditional Chinese to western delicacies in our famous company canteen.
  • To keep your development ongoing, you will find a broad range of training opportunities. Many online and face‑to‑face training programs incl. language courses in German and Mandarin.
  • Our diverse and welcoming environment is shaped by different backgrounds and around 40 individual nationalities.
  • Self‑responsible work in a competent, motivated and constantly growing team.

Please send your application and CV (incl. cover letter and reference letters) in English.

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