Working student (m/f/d) - Generative AI-supported Testing Methods for Automated Driving Development
Working student (m/f/d) - Generative AI-supported Testing Methods for Automated Driving Development
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Job Description
Complexity and scale of automotive systems are increasing particularly in the area of automated driving and advanced driving assistance systems. The increased complexity of such safety-critical systems demands for advanced testing and verification methods to ensure safety under an abundance of operating conditions and traffic scenarios that may be encountered.
Recently generative AI has shown promising results for content generation such as for text image or video generation. In our R&D work we would like to explore the possibilities of using generative AI to create critical traffic scenarios learned from traffic data.
We are seeking for a talented and driven Working Student (m/f/d) to join the Systems Engineering R&D team and support the development of testing methods by using recent results from generative AI for traffic scenario and video generation. In your role you gain hands-on experience on the training and validation of generative AI models and contribute to our R&D testing platform for automated driving. The work is part of the public funded project .
Responsibilities:
- Development of data pipeline to condition the traffic video generator on critical trajectories
- Conversion of trajectory and map data into dedicated format
- Integration of the pipeline into our existing traffic generation workflow
- Evaluate the traffic video generator to extract critical traffic scenarios
Qualifications :
- Pursuing a degree in Computer Science Electrical Engineering or a related field.
- Strong programming skills in Python.
- Familiarity with machine learning training frameworks (pytorch) is a plus.
- Familiarity with public large-scale datasets for autonomous driving (nuScenes Waymo Open Dataset) is a big plus.
- Optional: Knowledge in ROS/ROS2.
- Fluent level of English or German is required.
- Team player with intercultural competencies as well as independent working style with good self-organization capabilities.
Additional Information :
- The project will first run for 6 months with the possibility of extension.
- Employee-Benefits: Urban Sports Club etc.
- Attractive working environment: Modern offices own canteen free parking spaces
- International company: Career opportunities in a global environment
- Open company culture: Diverse multicultural team
- Events: Regular company & team events
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No
Employment Type :
Intern
Employment Type
Intern
