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Engineer (18-months Leased Labor) - Intelligent Vehicle Dynamics Controls
Posted by Huawei Research Center Germany on 9 March 2026, 214 days ago. Still on their Teamtailor board when we checked 33 min ago.
Read out of the posting
LevelNot stated
Experience askedNot stated
EmploymentNot stated
LocationMünchen, DE
RemoteNot stated
Visa sponsorshipNot stated
SalaryNot published, and most postings do not
Posted2026-03-09
Found viateamtailor, direct from their system
We saw it 7 months after it went up.
The posting, as the company wrote it
Huawei's Heisenberg Research Center in Munich is responsible for advanced technology research, architectural development, design and strategic engineering of our products.
In the Automotive Engineering Lab (AEL) teams are rapidly growing and focused on advanced automotive technologies in multiple domains.
In the Automotive Engineering Laboratory, we are now looking for a:
Engineer (18-months Leased Labor) - Intelligent Vehicle Dynamics Controls (m/f/d)
We are seeking a skilled candidate in I ntelligent 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 be responsible 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
Master’s or higher degree (PhD preferred) 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.
Strong communication capabilities. Ability to make the planned deliverables happen under pressure.
Enthusiastic about working as part of our international team. Fluent communication skills in English are required.
By applying to this position, you agree with our RECRUITMENT PRIVACY STATEMENT. You can read in full our recruitment privacy statement via the link below.
http://career.huawei.com/reccampportal/portal/hrd/weu_rec_all.html
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.
Huawei is a leading global information and communications technology (ICT) solutions provider. Our ICT solutions, products and services are used in more than 170 countries and regions, serving over one-third of the world's population. With 208,000 employees, Huawei is committed to develop the future information society and build a Better Connected World.
Copied from Huawei Research Center Germany’s own board, not rewritten. Original ↗
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