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AI Expert for Autonomous Driving Safety(m/w/x)
Description
In this role, you will drive innovation in AI for autonomous driving safety by developing algorithms and modifying neural networks while keeping pace with the latest technologies and industry standards.
Let AI find the perfect jobs for you!
Upload your CV and Nejo AI will find matching job offers for you.
Requirements
- •MSc. or PhD. in Computer Science, Electrical Engineering, Machine Learning, or equivalent field
- •Excellent understanding of AI-based systems and neural network architectures
- •Practical experience in applying AI-based systems to safety relevant functions
- •Hands-on attitude and positive engagement
- •Knowledge in autonomous driving algorithms for driving policies, end-to-end networks, foundational models
- •Professional proficiency in English; German and/or Chinese knowledge advantageous
- •Willingness to travel abroad (up to 25% of the time)
Education
Work Experience
approx. 1 - 4 years
Tasks
- •Explore AI solutions for safer autonomous driving systems
- •Investigate and develop risk assessment algorithms using AI
- •Modify neural network architectures for safety challenges
- •Stay updated on AI technologies and industry standards
Languages
English – Business Fluent
German – Basic
Chinese – Basic
Benefits
Free or Subsidized Food
- •Healthy meals in company canteen
Learning & Development
- •Broad range of training opportunities
- •Online and face-to-face training programs
- •Language courses in German and Mandarin
Informal Culture
- •Diverse and welcoming environment
Purpose-Driven Work
- •Self-responsible work
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AI Expert for Autonomous Driving Safety(m/w/x)
The AI Job Search Engine
Description
In this role, you will drive innovation in AI for autonomous driving safety by developing algorithms and modifying neural networks while keeping pace with the latest technologies and industry standards.
Let AI find the perfect jobs for you!
Upload your CV and Nejo AI will find matching job offers for you.
Requirements
- •MSc. or PhD. in Computer Science, Electrical Engineering, Machine Learning, or equivalent field
- •Excellent understanding of AI-based systems and neural network architectures
- •Practical experience in applying AI-based systems to safety relevant functions
- •Hands-on attitude and positive engagement
- •Knowledge in autonomous driving algorithms for driving policies, end-to-end networks, foundational models
- •Professional proficiency in English; German and/or Chinese knowledge advantageous
- •Willingness to travel abroad (up to 25% of the time)
Education
Work Experience
approx. 1 - 4 years
Tasks
- •Explore AI solutions for safer autonomous driving systems
- •Investigate and develop risk assessment algorithms using AI
- •Modify neural network architectures for safety challenges
- •Stay updated on AI technologies and industry standards
Languages
English – Business Fluent
German – Basic
Chinese – Basic
Benefits
Free or Subsidized Food
- •Healthy meals in company canteen
Learning & Development
- •Broad range of training opportunities
- •Online and face-to-face training programs
- •Language courses in German and Mandarin
Informal Culture
- •Diverse and welcoming environment
Purpose-Driven Work
- •Self-responsible work
About the Company
Huawei Research Center Germany & Austria
Industry
IT
Description
Huawei is a leading global information and communications technology (ICT) solutions provider, committed to developing the future information society.
- Huawei Research Center Germany & Austria
AI Expert for Autonomous Driving Safety(m/w/x)
Full-timeOn-siteExperiencedMünchen - Huawei Research Center Germany & Austria
Data Analytics Expert for Safety Related Systems(m/w/x)
Full-timeOn-siteExperiencedMünchen - Huawei Research Center Germany & Austria
Automated Driving SOTIF Expert(m/w/x)
Full-timeOn-siteExperiencedMünchen - Huawei Research Center Germany & Austria
Standardization Engineer for Safety ADAS(m/w/x)
Full-timeOn-siteSeniorMünchen - Huawei Research Center Germany & Austria
Vehicle Dynamics Controls Expert(m/w/x)
Full-timeOn-siteExperiencedMünchen